The present invention relates to decoding color barcodes.
Generally speaking most image based barcode scanners use a gray scale sensor, which means the captured image of the barcode does not include color information. Universal Product Code (UPC) is widely used in the world for tracking trade items in stores. A single code is generally used to designate each type of trade item. In order to track each individual trade item, many solutions have been devised. One such solution involves adding one more code for each trade item as an addition to the UPC code. Another specific solution is printing the bar of the UPC code with different colors, and encoding unique information relating to the particular trade item by changing the color sequence of the bar. But conventional barcode scanners used to scan a UPC code cannot decode the encoded color information.
Therefore, a need exists for a system and method for decoding color barcodes.
Accordingly, a method of decoding a color barcode consistent with certain embodiments involves simultaneously illuminating the color barcode with three spatially separated light zones in a manner that illuminates each bar of the color barcode with each of the three spatially separated light zones; where the three light zones are each illuminated by a different one of three colors; capturing a monochrome image of light reflected from of the color barcode that includes each of the bars in the barcode illuminated by each of the three light zones; for each bar in the color barcode, determining a color of the bar by analysis of the intensity of the light captured in the image of the reflected light intensity for each bar in each of the three spatially separated light zones.
The three light zones just described could actually be two or more light zones in a similar method of decoding a color barcode involving simultaneously illuminating the color barcode with at least two spatially separate light zones in a manner that illuminates each bar of the color barcode with each of the at least two spatially separate light zones; where the at least two light zones are each illuminated by a different color; capturing a monochrome image of light reflected from of the color barcode that includes each of the bars in the barcode illuminated by each of the at least two light zones; where for each bar in the color barcode, determining a color of the bar by analysis of the intensity of the light captured in the image of the reflected light intensity for each bar in each of the at least two spatially separated light zones.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by N colors C1 through CN; and where determining the color of each bar is carried out by determining the relative intensity of the values of C1 through CN. In certain example embodiments, determining the color of each bar for three colors is further carried out by comparison of the relative intensity of the differences between the values of C1, C2, and C3 with threshold intensity levels. In certain example embodiments, determining the color of each bar is carried out by comparison of the relative intensity of the differences between the values of C1, C2, and C3 with predetermined threshold intensity levels for a three color embodiment. In certain example embodiments, the colors of the at least two light zones comprise at least two of red, green, and blue.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by C1, C2, and C3; and determining the color of each bar is carried out by determining the relative intensity of the values of C1, C2, and C3. In certain example embodiments, determining the color of each bar is further carried out by comparison of the relative intensity of the differences between the values of C1, C2, and C3 with threshold intensity levels. In certain example embodiments, determining the color of each bar is carried out by comparison of the relative intensity of the differences between the values of C1, C2, and C3 with predetermined threshold intensity levels.
In certain example embodiments, the three colors of the three light zones comprise red, green, and blue. In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G, and B for the intensity of the red, green, and blue light respectively; and determining the color of each bar is carried out by determining the relative intensity of the values of R, G, and B. In certain example embodiments, determining the color of each bar is further carried out by comparison of the relative intensity of the differences between the values of R, G, and B with threshold intensity levels. In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G and B for the intensity of the red, green and blue light respectively; and determining the color of each bar is carried out by comparison of the relative intensity of the differences between the values of R, G and B with threshold intensity levels.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G and B for the intensity of the red, green and blue light respectively;
where a bar is determined to be red if:
R>G and |ΔRG|>TRG;
R>B and |ΔRB|>TRB; and
|ΔGB|<TGB,
where |ΔRB| is the absolute value of the difference between R and B, where |ΔGB| is the absolute value of the difference between G and B, and where |ΔRG| is the absolute value of the difference between R and G, and where TRG, TRB and TGB are predetermined threshold values.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G and B for the intensity of the red, green and blue light respectively;
where a bar is determined to be green if:
G>R and |ΔRG|>TRG;
G>B and |ΔGB|)>TGB; and
|ΔRB|<TRB,
where |ΔRB| is the absolute value of the difference between R and B, where |ΔGB| is the absolute value of the difference between G and B, and where |ΔRG| is the absolute value of the difference between R and G, and where TRG, TRB and TGB are predetermined threshold values.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G and B for the intensity of the red, green and blue light respectively;
where a bar is determined to be blue if:
B>R and |ΔRB|>TRB;
B>G and |ΔGB|>TGB; and
|ΔRG|<TRG,
where |ΔRB| is the absolute value of the difference between R and B, where |ΔGB| is the absolute value of the difference between G and B, and where |ΔRG| is the absolute value of the difference between R and G, and where TRG, TRB and TGB are predetermined threshold values.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G and B for the intensity of the red, green and blue light respectively;
where a bar is determined to be black if:
|ΔRB|<TRB;
|ΔGB|<TGB; and
|ΔRG|<TRG,
where |ΔRB| is the absolute value of the difference between R and B, where |ΔGB| is the absolute value of the difference between G and B, and where |ΔRG| is the absolute value of the difference between R and G, and where TRG, TRB and TGB are predetermined threshold values.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G and B for the intensity of the red, green and blue light respectively;
where a bar is determined to be red if:
R>G and |ΔRG|>TRG,
R>B and |ΔRB|>TRB, and
|ΔGB|<TGB;
where a bar is determined to be green if:
G>R and |ΔRG|>TRG,
G>B and |ΔGB|)>TGB, and
|ΔRB|<TRB;
where a bar is determined to be blue if:
B>R and |ΔRB|>TRB,
B>G and |ΔGB|>TGB, and
|ΔRG|<TRG; and
where a bar is determined to be black if:
|ΔRB|<TRB,
|ΔGB|<TGB, and
|ΔRG|<TRG,
where |ΔRB| is the absolute value of the difference between R and B, where |ΔGB| is the absolute value of the difference between G and B, and where |ΔRG| is the absolute value of the difference between R and G, and where TRG, TRB and TGB are predetermined threshold values.
Another example embodiment of a method of decoding a color barcode involves simultaneously illuminating the color barcode with three spatially separated light zones in a manner that illuminates each bar of the color barcode with each of the three spatially separated light zones; where the three light zones are illuminated by red light, green light and blue light respectively; capturing a monochrome image of light reflected from the color barcode that includes each of the bars in the barcode illuminated by each of the three light zones; for each bar in the color barcode, determining a color of the bar by analysis of the intensity of the light captured in the image of the reflected light intensity in each of the three spatially separated light zones.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G, and B for the intensity of the red, green, and blue light respectively; and determining the color of each bar is carried out by determining the relative intensity of the values of R, G, and B. In certain example embodiments, determining the color of each bar is further carried out by comparison of the relative intensity of the differences between the values of R, G, and B with threshold intensity levels. In certain example embodiments, determining the color of each bar is carried out by comparison of the relative intensity of the differences between the values of R, G, and B with threshold intensity levels.
In certain example embodiments, the intensity of the light reflected from the color barcode and captured in the image is represented by R, G and B for the intensity of the red, green and blue light respectively;
where a bar is determined to be red if:
R>G and |ΔRG|>TRG,
R>B and |ΔRB|>TRB, and
|ΔGB|<TGB;
where a bar is determined to be green if:
G>R and |ΔRG|>TRG,
G>B and |ΔGB|)>TGB, and
|ΔRB|<TRB; and
where a bar is determined to be blue if:
B>R and |ΔRB|>TRB,
B>G and |ΔGB|>TGB, and
|ΔRG|<TRG, and
where |ΔRB| is the absolute value of the difference between R and B, where |ΔGB| is the absolute value of the difference between G and B, and where |ΔRG| is the absolute value of the difference between R and G, and where TRG, TRB and TGB are predetermined threshold values.
In certain example embodiments, a bar is determined to be black if:
|ΔRB|<TRB;
|ΔGB|<TGB; and
|ΔRG|<TRG.
Another example method of decoding a color barcode involves simultaneously illuminating the color barcode with a plurality of spatially separated light zones in a manner that illuminates each bar of the color barcode with each of the plurality of spatially separated light zones; where the plurality of spatially separated light zones are each illuminated by a different colors; capturing a monochrome image of light reflected from of the color barcode that includes each of the bars in the barcode illuminated by each of the plurality of light zones; for each bar in the color barcode, determining a color of the bar by analysis of the intensity of the light captured in the image of the reflected light intensity for each bar in each of the plurality of spatially separated light zones.
The foregoing illustrative summary, as well as other exemplary objectives and/or advantages of the invention, and the manner in which the same are accomplished, are further explained within the following detailed description and its accompanying drawings.
The present invention embraces methods for decoding color barcodes.
The method uses multiple (e.g., three) colors of illumination simultaneously projected on the barcode in multiple (e.g., three) separate regions. Each light source produces a unique wavelength/color of light to illuminate the optical color barcode. The light reflected from the color barcode in each of the three example regions (or zones) is then analyzed to determine the color of each bar. The disclosed methods exhibit High motion tolerance. A single captured image (i.e., a single frame) includes the barcode information under three different lights, thus there is no need to activate LEDs in a time sequence or utilize multiple images in the analysis. The hardware used to implement the method is low and one frame of data is easier to process than multiple frames in combination. The three illumination zones form a tri-color bar that serves as an aimer to point at the barcode, and it indicate which barcode is decoded when there is more than one barcode presented in the field of view. The location and sequence of the three color zones in the captured image are relatively fixed, so the complexity of the signal processing is lower than a method need to handle multi-frames.
For purposes of this document, the term “spatially separate(d) light zones” means that the light zones illuminate multiple areas that are separated in space. Adjacent light zones may have regions which overlap so long as there is not complete overlap so that there are areas in each light zone that is illuminated by a single light source (or filtered light source).
In the present example embodiments, color barcodes are decoded using a two dimensional monochromatic imager with the barcode illuminated by a tri-color linear illuminator. The system can decode the color sequence based UPC code or other type of 1D barcode.
In an example embodiment, a 2D monochromatic imager based decoding system and method for a color sequence based one dimensional barcode is provided in which a tri-color, e.g. red, green, blue, illumination is used to simultaneously capture color information from three zones of the color barcode with a two dimensional monochromatic sensor (mono-sensor). A color decoder analyses the signals output from the three zones, illuminated by three different color illumination and compares the brightness of each bar to decide the bar's color. The color decoder then decodes the encoded information according to the appropriate encoding standard.
In this example, a tri-color, e.g. red, green and blue illumination, is designed to capture color information of the color barcode with the two dimensional monochromatic sensor. The three colors of red, green, and blue are used in this example and can be used to identify any color bars that can be represented within an RGB color space. In this illustrative example, three color zones are used and bars of three colors plus black are recognized. However, in other example embodiments, other color spaces can be used, more or less than three color light zones can be used, and the system can detect two or more colors with or without black bar detection as will be described. Those skilled in the art will appreciate that many variations are possible upon consideration of the present teachings.
Bars, making up the barcode, that have the same or similar color as the illumination will reflect more light back to the mono-sensor than the other bars which have different color. Hence, that portion of bar's image is brighter than other bars illuminated by the other two colors of illumination. By comparing the brightness of the same bar within different color illuminated zone, the system can determine the color of the bar as an output.
The three illumination zones 20, 22 and 24 can be produced by any suitable mechanism such as that shown, for example, as 14. In this example, three light emitting diodes (LEDs) 30, 32, and 34 respectively produce red, green, and blue light. The light passes through one of three slits to illuminate three chambers 38 that keep the light from each of the LEDs separate. Light then passes through a lens assembly 42 made up of three lenses, one for each color, which focuses the light output to produce three separate bands of light 20, 22 and 24. Variations will occur to those skilled in the art upon consideration of the present teachings.
The LEDs may operate under control of a programmed processor 46 or may be turned on continuously. Processor 46 is used to process the information received from a monochromatic imager device 50 that is used to capture an image of the barcode (e.g., in the region shown by box 54). The processor 46 can then examine the captured image to identify the three illumination zones and examine the intensity of light reflected from each of the three separate zones in order to differentiate the colors of the bars.
The positions of the three linear illumination zones are stored in the color analysis function carried out in processor 46, and the processor analyzes the signals within the zones illuminated by the three color light.
The bars may be printed on paper or otherwise depicted. Bars which have the same or similar color as the illumination will reflect more light back to the mono-sensor 50 than the other bars which have different color. Hence, the portion of bar's image is brighter in the zone having similar illumination than the other portions illuminated by the other two colors illumination. Black colored bars have lower light intensity in the reflected image than colored bars and white areas between bars have the highest intensity.
Turning to
As illustrated, light will reflect from the bars with intensity that varies with the color of the light and the color of the bar. White space between bars will reflect the most and exhibit the highest levels of intensity shown as 76, 78, and 80 on the graphs. Similarly, the lowest level of intensity is reflected by the black bar 66 shown at levels 82, 84 and 86. Bar 60 is a red bar and its reflected brightness is greatest in the red light zone with a level shown as 88. Similarly, the brightest reflection of the green bar 62 is under illumination in the green zone and is shown as 90. Blue bar 64 reflects with the greatest brightness under blue illumination in the blue zone shown as 92.
Under illumination in the red zone 20, the blue and green bars 62 and 64 reflect relatively low levels of light indicated by level 94. While these are shown as the same for convenience, some variation is to be expected, but these bars will always reflect less in the red zone 20 than the red bar 60.
Similarly, under illumination in the green zone 22, the red and blue bars 60 and 64 reflect relatively low levels of light indicated by level 96. While these are shown as the same for convenience, some variation is to be expected, but these bars will always reflect less in the green zone 22 than the green bar 62.
Similarly, under illumination in the blue zone 24, the red and green bars 60 and 62 reflect relatively low levels of light indicated by level 98. While these are shown as the same for convenience, some variation is to be expected, but these bars will always reflect less in the blue zone 24 than the blue bar 64.
The color barcode processor 46 analyzes signals the from the monochrome imager 50 output in the three zones 20, 22 and 24 illuminated by three different colors of illumination (red, green and blue in this example, but this is not to be considered limiting), and compares the brightness of same bar in each zone in order to determine the bar's color. With each bar's color determined, the processor 46 can decode the encoded information according to the appropriate encoding standard. The decoding function analyzes the gray scale image of the code, and decodes the information encoded in the barcode symbol.
The decoding is carried out in 124 in an example process detailed in
ΔRG=Red light signal−Green light signal=R−G;
ΔRB=Red light signal−Blue light signal=R−B; and
ΔGB=Green light signal−Blue light signal=G−B.
These brightness differentials are then compared with a set of threshold values at 164. The actual thresholds used can be determined and optimized experimentally for a particular set of hardware being used. As a starting point for determining the thresholds, consider the following:
TRG is a threshold value that establishes a minimum difference between the intensity R and the intensity G of the red and green reflected illumination from the bar code respectively to differentiate red from green. In one example embodiment, the intensity of reflected light from a known red bar can be measured in the red and green zones. The threshold TRG can be set, for example at one half of the difference between the reflected intensity in the red zone minus the reflect intensity in the green zone (i.e., |R−G|/2). From there, the threshold can be experimentally optimized.
Similarly, TRB is a threshold value that establishes a minimum difference between the intensity R and the intensity B of the red and blue reflected illumination from the bar code respectively to differentiate red from blue. In one example embodiment, the intensity of reflected light from a known red bar can be measured in the red and blue zones. The threshold TRB can be set, for example at one half of the difference between the reflected intensity in the red zone minus the reflect intensity in the green zone (i.e., |R−B|/2). From there, the threshold can be experimentally optimized.
TGB is a threshold value that establishes a minimum difference between the intensity G and the intensity B of the Green and blue reflected illumination from the bar code respectively to differentiate green from blue. In one example embodiment, the intensity of reflected light from a known green bar can be measured in the green and blue zones. The threshold TGB can be set, for example at one half of the difference between the reflected intensity in the green zone minus the reflect intensity in the blue zone (i.e., |G−B|/2). From there, the threshold can be experimentally optimized.
In each of the above examples, the ambient light conditions (if ambient light strikes the bar code in use) should be expected lighting conditions for use of the color barcode reader hardware, and other lighting conditions should be tested, and the values optimized for all applicable lighting conditions. Those skilled in the art will appreciate that other methods can be used to find and optimize the threshold values over varying ambient light conditions as well as over variations in hardware configuration, intensity of light in the three zones, etc.
Based on this analysis the bar colors can be determined at 168. If the process completes successfully at 170 for the current bar, a determination is made at 174 as to whether or not the last bar has been processed. If not, the process increments to the next bar at 178 and returns to 158. Once all bars are processed, the decoding process is deemed successful at 182 and the process returns at 186. If the color of any of the bars cannot be determined, the process fails at 190 and suitable action is taken. The process then returns at 186.
The color decoding process is described in conjunction with
In order to make a determination about the color of each bar, three thresholds are established—one for each of the three RG, RB, and GB combinations and which are referred to as TRG, TRB, and TGB as discussed above. This leads to the following four sets of comparisons that can be done for each case to determine the color of a bar as follows:
For a red bar:
R>G and |ΔRG|>TRG;
R>B and |ΔRB|>TRB; and
|ΔGB|<TGB.
For a green bar:
G>R and |ΔRG|>TRG;
G>B and |ΔGB|)>TGB; and
|ΔRB|<TRB.
For a blue bar:
B>R and |ΔRB|>TRB;
B>G and |ΔGB|>TGB; and
|ΔRG|<TRG.
For a black bar:
|ΔRB|<TRB;
|ΔGB|<TGB; and
|ΔRG|<TRG.
The above four sets of comparisons can be generalized for three colors by letting R, G and B represent any three suitable colors C1, C2 and C3 and appropriately substituting therefor in each of the comparisons. In such case, the threshold TRG could become, for example, TC1C2; and, the value of |ΔRG| would become |ΔC1C2| for example.
For certainty in decoding the proper color, the present example checks each of these criteria for each color (and black) in order to arrive at a color assignment for each bar in the barcode.
Referring now to
The process 200 starts at 202 where the tests R>G and |ΔRG|>TRG are made. If the comparisons are true, the second test is applied at 210 which checks to see if R>B and |ΔRB|>TRB are true. If so, the third test is applied at 214 to check to see if |ΔGB|<TGB. If all of these tests are passed, the process determines that the current bar is red at 218 and the process 200 returns this answer at 222. The three tests of 206, 210, and 214 are designated by a bracket as “test red” for convenience.
If, at 206, 210 or 214 any of the tests are failed, the process proceeds to test for green as indicated by the bracket starting at 226 where the signal levels are tested to see if G>R and |ΔRG|>TGB. If so, the next test to see if G>B and |ΔGB|>TGB is applied at 230. If that test is passed, then the final green test is applied at 234 to see if |ΔRB|<TRB. If all three of these tests are passed, then the process determines that the current bar is green at 238. The process can then return at 222. If any of the three tests fail at 226, 230, or 234, the process determines that the bar is not green and proceeds to the blue test starting at 342.
The blue test proceeds much like the red and green test with the comparisons of B>R and |ΔRB|>TRB carried out at 342. If the result is positive, the next test at 346 is carried out. At 346, the process determines if B>G and |ΔGB|>TGB and if so proceeds to 350 to determine if |ΔRG|<TRG. If all three blue tests are passed, the process determines that the current bar is blue at 354 and the process returns at 222.
If any of the tests at 342, 346, or 350 are not passed as positive for blue, then the process proceeds to the black tests starting at 358. At 358, the process tests to see if |ΔRB|<TRB and if so, proceeds to 362. At 362, the process checks to see if |ΔGB|<TGB and if so the process proceeds to 366 to see if |ΔRG|<TRG. If so, the current bar is determined to be a black bar at 370 and the process returns at 222.
If there are failures at the red, green and blue tests, the process proceeds to 374 where a failure to decode is determined and suitable error processing can be implemented. In any case, the process then returns at 222.
While embodiments consistent with the present invention have been described primarily using three colors such as red, green, and blue, in other variations, two or more colors could be used, for example, when a more limited palate of colors is to be detected. In those cases, a method consistent with the present teachings involves simultaneously illuminating the color barcode with at least two spatially separate light zones in a manner that illuminates each bar of the color barcode with each of the at least two spatially separate light zones. In this case the at least two light zones are each illuminated by a different color such as two of red, green and blue. A monochrome image of light reflected from of the color barcode includes each of the bars in the barcode illuminated by each of the at least two light zones. For each bar in the color barcode, the process determines a color of the bar by analysis of the intensity of the light captured in the image of the reflected light intensity for each bar in each of the at least two spatially separated light zones. In this example, the intensity of the light reflected from the color barcode and captured in the image is represented by N colors C1 through CN; the color of each bar is determined by comparing the relative intensity of the values of C1 through CN. The color of each bar is further analyzed by comparison of the relative intensity of the differences between the values of C1, C2, and C3 with threshold intensity levels. Many other variations are possible consistent with the present teachings.
Many variations are possible within the bounds of the present teachings. For example, while three LEDs are shown as distinct LEDs, all three could be integrated in one LED element with three LED dies. Further, the source could be different colors than those described. The order of the processes described can be rearranged in any functional order and the tests for red, green, blue and black can be modified or simplified. The method for devising the thresholds as described can be modified or determined experimentally without departing from the present teachings.
In other variations, for example, a color barcode might utilize only red, blue, and black bars (or other combinations). In this example, two light zones (red and blue) could be used in a manner similar to that disclosed above to recognize red, blue, and black bars. Other variations will occur to those skilled in the art upon consideration of the present teachings.
To supplement the present disclosure, this application incorporates entirely by reference the following commonly assigned patents, patent application publications, and patent applications:
In the specification and/or figures, typical embodiments of the invention have been disclosed. The present invention is not limited to such exemplary embodiments. The use of the term “and/or” includes any and all combinations of one or more of the associated listed items. The figures are schematic representations and so are not necessarily drawn to scale. Unless otherwise noted, specific terms have been used in a generic and descriptive sense and not for purposes of limitation.
Number | Date | Country | Kind |
---|---|---|---|
201710629385.1 | Jul 2017 | CN | national |
The present application is a continuation of U.S. application Ser. No. 16/044,655, filed Jul. 25, 2018, which claims the benefit of Chinese Application for Invention No. 201710629385.1 for DECODING COLOR BARCODES filed Jul. 28, 2017, each of which is hereby incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
3684868 | Christie | Aug 1972 | A |
4023040 | Weber | May 1977 | A |
5545886 | Metlitsky et al. | Aug 1996 | A |
6111669 | Nordstrom | Aug 2000 | A |
6375075 | Ackley et al. | Apr 2002 | B1 |
6832725 | Gardiner et al. | Dec 2004 | B2 |
7128266 | Zhu et al. | Oct 2006 | B2 |
7159783 | Walczyk et al. | Jan 2007 | B2 |
7185816 | Shoobridge | Mar 2007 | B1 |
7413127 | Ehrhart et al. | Aug 2008 | B2 |
7726575 | Wang et al. | Jun 2010 | B2 |
7886977 | Wichers | Feb 2011 | B2 |
8294969 | Plesko | Oct 2012 | B2 |
8317105 | Kotlarsky et al. | Nov 2012 | B2 |
8322622 | Liu | Dec 2012 | B2 |
8366005 | Kotlarsky et al. | Feb 2013 | B2 |
8371507 | Haggerty et al. | Feb 2013 | B2 |
8376233 | Horn et al. | Feb 2013 | B2 |
8381979 | Franz | Feb 2013 | B2 |
8390909 | Plesko | Mar 2013 | B2 |
8408464 | Zhu et al. | Apr 2013 | B2 |
8408468 | Van et al. | Apr 2013 | B2 |
8408469 | Good | Apr 2013 | B2 |
8424768 | Rueblinger et al. | Apr 2013 | B2 |
8448863 | Xian et al. | May 2013 | B2 |
8457013 | Essinger et al. | Jun 2013 | B2 |
8459557 | Havens et al. | Jun 2013 | B2 |
8469272 | Kearney | Jun 2013 | B2 |
8474712 | Kearney et al. | Jul 2013 | B2 |
8479992 | Kotlarsky et al. | Jul 2013 | B2 |
8490877 | Kearney | Jul 2013 | B2 |
8500023 | Zolotov | Aug 2013 | B2 |
8517271 | Kotlarsky et al. | Aug 2013 | B2 |
8523074 | Marcus et al. | Sep 2013 | B2 |
8523076 | Good | Sep 2013 | B2 |
8528818 | Ehrhart et al. | Sep 2013 | B2 |
8544737 | Gomez et al. | Oct 2013 | B2 |
8548420 | Grunow et al. | Oct 2013 | B2 |
8550335 | Samek et al. | Oct 2013 | B2 |
8550354 | Gannon et al. | Oct 2013 | B2 |
8550357 | Kearney | Oct 2013 | B2 |
8556174 | Kosecki et al. | Oct 2013 | B2 |
8556176 | Van et al. | Oct 2013 | B2 |
8556177 | Hussey et al. | Oct 2013 | B2 |
8559767 | Barber et al. | Oct 2013 | B2 |
8561895 | Gomez et al. | Oct 2013 | B2 |
8561903 | Sauerwein, Jr. | Oct 2013 | B2 |
8561905 | Edmonds et al. | Oct 2013 | B2 |
8565107 | Pease et al. | Oct 2013 | B2 |
8571307 | Li et al. | Oct 2013 | B2 |
8579200 | Samek et al. | Nov 2013 | B2 |
8583924 | Caballero et al. | Nov 2013 | B2 |
8584945 | Wang et al. | Nov 2013 | B2 |
8587595 | Wang | Nov 2013 | B2 |
8587697 | Hussey et al. | Nov 2013 | B2 |
8588869 | Sauerwein et al. | Nov 2013 | B2 |
8590789 | Nahill et al. | Nov 2013 | B2 |
8596539 | Havens et al. | Dec 2013 | B2 |
8596542 | Havens et al. | Dec 2013 | B2 |
8596543 | Havens et al. | Dec 2013 | B2 |
8599271 | Havens et al. | Dec 2013 | B2 |
8599957 | Peake et al. | Dec 2013 | B2 |
8600158 | Li et al. | Dec 2013 | B2 |
8600167 | Showering | Dec 2013 | B2 |
8602309 | Longacre et al. | Dec 2013 | B2 |
8608053 | Meier et al. | Dec 2013 | B2 |
8608071 | Liu et al. | Dec 2013 | B2 |
8611309 | Wang et al. | Dec 2013 | B2 |
8615487 | Gomez et al. | Dec 2013 | B2 |
8621123 | Caballero | Dec 2013 | B2 |
8622303 | Meier et al. | Jan 2014 | B2 |
8628013 | Ding | Jan 2014 | B2 |
8628015 | Wang et al. | Jan 2014 | B2 |
8628016 | Winegar | Jan 2014 | B2 |
8629926 | Wang | Jan 2014 | B2 |
8630491 | Longacre et al. | Jan 2014 | B2 |
8635309 | Berthiaume et al. | Jan 2014 | B2 |
8636200 | Kearney | Jan 2014 | B2 |
8636212 | Nahill et al. | Jan 2014 | B2 |
8636215 | Ding et al. | Jan 2014 | B2 |
8636224 | Wang | Jan 2014 | B2 |
8638806 | Wang et al. | Jan 2014 | B2 |
8640958 | Lu et al. | Feb 2014 | B2 |
8640960 | Wang et al. | Feb 2014 | B2 |
8643717 | Li et al. | Feb 2014 | B2 |
8646692 | Meier et al. | Feb 2014 | B2 |
8646694 | Wang et al. | Feb 2014 | B2 |
8657200 | Ren et al. | Feb 2014 | B2 |
8659397 | Vargo et al. | Feb 2014 | B2 |
8668149 | Good | Mar 2014 | B2 |
8678285 | Kearney | Mar 2014 | B2 |
8678286 | Smith et al. | Mar 2014 | B2 |
8682077 | Longacre, Jr. | Mar 2014 | B1 |
D702237 | Oberpriller et al. | Apr 2014 | S |
8687282 | Feng et al. | Apr 2014 | B2 |
8692927 | Pease et al. | Apr 2014 | B2 |
8695880 | Bremer et al. | Apr 2014 | B2 |
8698949 | Grunow et al. | Apr 2014 | B2 |
8702000 | Barber et al. | Apr 2014 | B2 |
8717494 | Gannon | May 2014 | B2 |
8720783 | Biss et al. | May 2014 | B2 |
8723804 | Fletcher et al. | May 2014 | B2 |
8723904 | Marty et al. | May 2014 | B2 |
8727223 | Wang | May 2014 | B2 |
8740082 | Wilz, Sr. | Jun 2014 | B2 |
8740085 | Furlong et al. | Jun 2014 | B2 |
8746563 | Hennick et al. | Jun 2014 | B2 |
8750445 | Peake et al. | Jun 2014 | B2 |
8752766 | Xian et al. | Jun 2014 | B2 |
8752768 | Gao | Jun 2014 | B2 |
8752798 | Loudenslager | Jun 2014 | B2 |
8756059 | Braho et al. | Jun 2014 | B2 |
8757495 | Qu et al. | Jun 2014 | B2 |
8760563 | Koziol et al. | Jun 2014 | B2 |
8763909 | Reed et al. | Jul 2014 | B2 |
8777108 | Coyle | Jul 2014 | B2 |
8777109 | Oberpriller et al. | Jul 2014 | B2 |
8779898 | Havens et al. | Jul 2014 | B2 |
8781520 | Payne et al. | Jul 2014 | B2 |
8783573 | Havens et al. | Jul 2014 | B2 |
8789757 | Barten | Jul 2014 | B2 |
8789758 | Hawley et al. | Jul 2014 | B2 |
8789759 | Xian et al. | Jul 2014 | B2 |
8794520 | Wang et al. | Aug 2014 | B2 |
8794522 | Ehrhart | Aug 2014 | B2 |
8794525 | Amundsen et al. | Aug 2014 | B2 |
8794526 | Wang et al. | Aug 2014 | B2 |
8798367 | Ellis | Aug 2014 | B2 |
8807431 | Wang et al. | Aug 2014 | B2 |
8807432 | Van et al. | Aug 2014 | B2 |
8820630 | Qu et al. | Sep 2014 | B2 |
8822848 | Meagher | Sep 2014 | B2 |
8824692 | Sheerin et al. | Sep 2014 | B2 |
8824696 | Braho | Sep 2014 | B2 |
8842849 | Wahl et al. | Sep 2014 | B2 |
8844822 | Kotlarsky et al. | Sep 2014 | B2 |
8844823 | Fritz et al. | Sep 2014 | B2 |
8849019 | Li et al. | Sep 2014 | B2 |
D716285 | Chaney et al. | Oct 2014 | S |
8851383 | Yeakley et al. | Oct 2014 | B2 |
8854633 | Laffargue et al. | Oct 2014 | B2 |
8866963 | Grunow et al. | Oct 2014 | B2 |
8868421 | Braho et al. | Oct 2014 | B2 |
8868519 | Maloy et al. | Oct 2014 | B2 |
8868802 | Barten | Oct 2014 | B2 |
8868803 | Caballero | Oct 2014 | B2 |
8870074 | Gannon | Oct 2014 | B1 |
8879639 | Sauerwein, Jr. | Nov 2014 | B2 |
8880426 | Smith | Nov 2014 | B2 |
8881983 | Havens et al. | Nov 2014 | B2 |
8881987 | Wang | Nov 2014 | B2 |
8903172 | Smith | Dec 2014 | B2 |
8908995 | Benos et al. | Dec 2014 | B2 |
8910870 | Li et al. | Dec 2014 | B2 |
8910875 | Ren et al. | Dec 2014 | B2 |
8914290 | Hendrickson et al. | Dec 2014 | B2 |
8914788 | Pettinelli et al. | Dec 2014 | B2 |
8915439 | Feng et al. | Dec 2014 | B2 |
8915444 | Havens et al. | Dec 2014 | B2 |
8916789 | Woodburn | Dec 2014 | B2 |
8918250 | Hollifield | Dec 2014 | B2 |
8918564 | Caballero | Dec 2014 | B2 |
8925818 | Kosecki et al. | Jan 2015 | B2 |
8939374 | Jovanovski et al. | Jan 2015 | B2 |
8942480 | Ellis | Jan 2015 | B2 |
8944313 | Williams et al. | Feb 2015 | B2 |
8944327 | Meier et al. | Feb 2015 | B2 |
8944332 | Harding et al. | Feb 2015 | B2 |
8950678 | Germaine et al. | Feb 2015 | B2 |
D723560 | Zhou et al. | Mar 2015 | S |
8967468 | Gomez et al. | Mar 2015 | B2 |
8971346 | Sevier | Mar 2015 | B2 |
8976030 | Cunningham et al. | Mar 2015 | B2 |
8976368 | El et al. | Mar 2015 | B2 |
8978981 | Guan | Mar 2015 | B2 |
8978983 | Bremer et al. | Mar 2015 | B2 |
8978984 | Hennick et al. | Mar 2015 | B2 |
8985456 | Zhu et al. | Mar 2015 | B2 |
8985457 | Soule et al. | Mar 2015 | B2 |
8985459 | Kearney et al. | Mar 2015 | B2 |
8985461 | Gelay et al. | Mar 2015 | B2 |
8988578 | Showering | Mar 2015 | B2 |
8988590 | Gillet et al. | Mar 2015 | B2 |
8991704 | Hopper et al. | Mar 2015 | B2 |
8996194 | Davis et al. | Mar 2015 | B2 |
8996384 | Funyak et al. | Mar 2015 | B2 |
8998091 | Edmonds et al. | Apr 2015 | B2 |
9002641 | Showering | Apr 2015 | B2 |
9007368 | Laffargue et al. | Apr 2015 | B2 |
9010641 | Qu et al. | Apr 2015 | B2 |
9015513 | Murawski et al. | Apr 2015 | B2 |
9016576 | Brady et al. | Apr 2015 | B2 |
D730357 | Fitch et al. | May 2015 | S |
9022288 | Nahill et al. | May 2015 | B2 |
9030964 | Essinger et al. | May 2015 | B2 |
9033240 | Smith et al. | May 2015 | B2 |
9033242 | Gillet et al. | May 2015 | B2 |
9036054 | Koziol et al. | May 2015 | B2 |
9037344 | Chamberlin | May 2015 | B2 |
9038911 | Xian et al. | May 2015 | B2 |
9038915 | Smith | May 2015 | B2 |
D730901 | Oberpriller et al. | Jun 2015 | S |
D730902 | Fitch et al. | Jun 2015 | S |
D733112 | Chaney et al. | Jun 2015 | S |
9047098 | Barten | Jun 2015 | B2 |
9047359 | Caballero et al. | Jun 2015 | B2 |
9047420 | Caballero | Jun 2015 | B2 |
9047525 | Barber et al. | Jun 2015 | B2 |
9047531 | Showering et al. | Jun 2015 | B2 |
9049640 | Wang et al. | Jun 2015 | B2 |
9053055 | Caballero | Jun 2015 | B2 |
9053378 | Hou et al. | Jun 2015 | B1 |
9053380 | Xian et al. | Jun 2015 | B2 |
9057641 | Amundsen et al. | Jun 2015 | B2 |
9058526 | Powilleit | Jun 2015 | B2 |
9061527 | Tobin et al. | Jun 2015 | B2 |
9064165 | Havens et al. | Jun 2015 | B2 |
9064167 | Xian et al. | Jun 2015 | B2 |
9064168 | Todeschini et al. | Jun 2015 | B2 |
9064254 | Todeschini et al. | Jun 2015 | B2 |
9066032 | Wang | Jun 2015 | B2 |
9070032 | Corcoran | Jun 2015 | B2 |
D734339 | Zhou et al. | Jul 2015 | S |
D734751 | Oberpriller et al. | Jul 2015 | S |
9076459 | Braho et al. | Jul 2015 | B2 |
9079423 | Bouverie et al. | Jul 2015 | B2 |
9080856 | Laffargue | Jul 2015 | B2 |
9082023 | Feng et al. | Jul 2015 | B2 |
9084032 | Rautiola et al. | Jul 2015 | B2 |
9087250 | Coyle | Jul 2015 | B2 |
9092681 | Havens et al. | Jul 2015 | B2 |
9092682 | Wilz et al. | Jul 2015 | B2 |
9092683 | Koziol et al. | Jul 2015 | B2 |
9093141 | Liu | Jul 2015 | B2 |
9098763 | Lu et al. | Aug 2015 | B2 |
9104929 | Todeschini | Aug 2015 | B2 |
9104934 | Li et al. | Aug 2015 | B2 |
9107484 | Chaney | Aug 2015 | B2 |
9111159 | Liu et al. | Aug 2015 | B2 |
9111166 | Cunningham, IV | Aug 2015 | B2 |
9135483 | Liu et al. | Sep 2015 | B2 |
9137009 | Gardiner | Sep 2015 | B1 |
9141839 | Xian et al. | Sep 2015 | B2 |
9147096 | Wang | Sep 2015 | B2 |
9148474 | Skvoretz | Sep 2015 | B2 |
9158000 | Sauerwein, Jr. | Oct 2015 | B2 |
9158340 | Reed et al. | Oct 2015 | B2 |
9158953 | Gillet et al. | Oct 2015 | B2 |
9159059 | Daddabbo et al. | Oct 2015 | B2 |
9165174 | Huck | Oct 2015 | B2 |
9171543 | Emerick et al. | Oct 2015 | B2 |
9183425 | Wang | Nov 2015 | B2 |
9189669 | Zhu et al. | Nov 2015 | B2 |
9195844 | Todeschini et al. | Nov 2015 | B2 |
9202458 | Braho et al. | Dec 2015 | B2 |
9208366 | Liu | Dec 2015 | B2 |
9208367 | Smith | Dec 2015 | B2 |
9219836 | Bouverie et al. | Dec 2015 | B2 |
9224022 | Ackley et al. | Dec 2015 | B2 |
9224024 | Bremer et al. | Dec 2015 | B2 |
9224027 | Van et al. | Dec 2015 | B2 |
D747321 | London et al. | Jan 2016 | S |
9230140 | Ackley | Jan 2016 | B1 |
9235553 | Fitch et al. | Jan 2016 | B2 |
9239950 | Fletcher | Jan 2016 | B2 |
9245492 | Ackley et al. | Jan 2016 | B2 |
9248640 | Heng | Feb 2016 | B2 |
9250652 | London et al. | Feb 2016 | B2 |
9250712 | Todeschini | Feb 2016 | B1 |
9251411 | Todeschini | Feb 2016 | B2 |
9258033 | Showering | Feb 2016 | B2 |
9261398 | Amundsen et al. | Feb 2016 | B2 |
9262633 | Todeschini et al. | Feb 2016 | B1 |
9262660 | Lu et al. | Feb 2016 | B2 |
9262662 | Chen et al. | Feb 2016 | B2 |
9262664 | Soule et al. | Feb 2016 | B2 |
9269036 | Bremer | Feb 2016 | B2 |
9270782 | Hala et al. | Feb 2016 | B2 |
9274806 | Barten | Mar 2016 | B2 |
9274812 | Doren et al. | Mar 2016 | B2 |
9275388 | Havens et al. | Mar 2016 | B2 |
9277668 | Feng et al. | Mar 2016 | B2 |
9280693 | Feng et al. | Mar 2016 | B2 |
9286496 | Smith | Mar 2016 | B2 |
9297900 | Jiang | Mar 2016 | B2 |
9298667 | Caballero | Mar 2016 | B2 |
9298964 | Li et al. | Mar 2016 | B2 |
9301427 | Feng et al. | Mar 2016 | B2 |
9304376 | Anderson | Apr 2016 | B2 |
9310609 | Rueblinger et al. | Apr 2016 | B2 |
9313377 | Todeschini et al. | Apr 2016 | B2 |
9317037 | Byford et al. | Apr 2016 | B2 |
9319548 | Showering et al. | Apr 2016 | B2 |
D757009 | Oberpriller et al. | May 2016 | S |
9342723 | Liu et al. | May 2016 | B2 |
9342724 | McCloskey et al. | May 2016 | B2 |
9342827 | Smith | May 2016 | B2 |
9355294 | Smith et al. | May 2016 | B2 |
9360304 | Xue et al. | Jun 2016 | B2 |
9361882 | Ressler et al. | Jun 2016 | B2 |
9365381 | Colonel et al. | Jun 2016 | B2 |
9367722 | Xian et al. | Jun 2016 | B2 |
9373018 | Colavito et al. | Jun 2016 | B2 |
9375945 | Bowles | Jun 2016 | B1 |
9378403 | Wang et al. | Jun 2016 | B2 |
D760719 | Zhou et al. | Jul 2016 | S |
9383848 | Daghigh | Jul 2016 | B2 |
9384374 | Bianconi | Jul 2016 | B2 |
9390596 | Todeschini | Jul 2016 | B1 |
9396375 | Qu et al. | Jul 2016 | B2 |
9398008 | Todeschini et al. | Jul 2016 | B2 |
D762604 | Fitch et al. | Aug 2016 | S |
D762647 | Fitch et al. | Aug 2016 | S |
9405011 | Showering | Aug 2016 | B2 |
9407840 | Wang | Aug 2016 | B2 |
9411386 | Sauerwein, Jr. | Aug 2016 | B2 |
9412242 | Van et al. | Aug 2016 | B2 |
9418252 | Nahill et al. | Aug 2016 | B2 |
9418269 | Havens et al. | Aug 2016 | B2 |
9418270 | Van et al. | Aug 2016 | B2 |
9423318 | Liu et al. | Aug 2016 | B2 |
D766244 | Zhou et al. | Sep 2016 | S |
9443123 | Hejl | Sep 2016 | B2 |
9443222 | Singel et al. | Sep 2016 | B2 |
9448610 | Davis et al. | Sep 2016 | B2 |
9454689 | McCloskey et al. | Sep 2016 | B2 |
9464885 | Lloyd et al. | Oct 2016 | B2 |
9465967 | Xian et al. | Oct 2016 | B2 |
9478113 | Xie et al. | Oct 2016 | B2 |
9478983 | Kather et al. | Oct 2016 | B2 |
D771631 | Fitch et al. | Nov 2016 | S |
9481186 | Bouverie et al. | Nov 2016 | B2 |
9488986 | Solanki | Nov 2016 | B1 |
9489782 | Payne et al. | Nov 2016 | B2 |
9490540 | Davies et al. | Nov 2016 | B1 |
9491729 | Rautiola et al. | Nov 2016 | B2 |
9497092 | Gomez et al. | Nov 2016 | B2 |
9507974 | Todeschini | Nov 2016 | B1 |
9519814 | Cudzilo | Dec 2016 | B2 |
9521331 | Bessettes et al. | Dec 2016 | B2 |
9530038 | Xian et al. | Dec 2016 | B2 |
D777166 | Bidwell et al. | Jan 2017 | S |
9558386 | Yeakley | Jan 2017 | B2 |
9572901 | Todeschini | Feb 2017 | B2 |
9582696 | Barber et al. | Feb 2017 | B2 |
9606581 | Howe et al. | Mar 2017 | B1 |
D783601 | Schulte et al. | Apr 2017 | S |
9616749 | Chamberlin | Apr 2017 | B2 |
9618993 | Murawski et al. | Apr 2017 | B2 |
D785617 | Bidwell et al. | May 2017 | S |
D785636 | Oberpriller et al. | May 2017 | S |
9646189 | Lu et al. | May 2017 | B2 |
9646191 | Unemyr et al. | May 2017 | B2 |
9652648 | Ackley et al. | May 2017 | B2 |
9652653 | Todeschini et al. | May 2017 | B2 |
9656487 | Ho et al. | May 2017 | B2 |
9659198 | Giordano et al. | May 2017 | B2 |
D790505 | Vargo et al. | Jun 2017 | S |
D790546 | Zhou et al. | Jun 2017 | S |
D790553 | Fitch et al. | Jun 2017 | S |
9680282 | Hanenburg | Jun 2017 | B2 |
9697400 | Utykanski | Jul 2017 | B2 |
9697401 | Feng et al. | Jul 2017 | B2 |
9701140 | Alaganchetty et al. | Jul 2017 | B1 |
9715614 | Todeschini et al. | Jul 2017 | B2 |
9734493 | Gomez et al. | Aug 2017 | B2 |
10019334 | Caballero et al. | Jul 2018 | B2 |
10021043 | Sevier | Jul 2018 | B2 |
10327158 | Wang et al. | Jun 2019 | B2 |
10410029 | Powilleit | Sep 2019 | B2 |
20050011956 | Carlson | Jan 2005 | A1 |
20060060653 | Wittenberg | Mar 2006 | A1 |
20070063048 | Havens et al. | Mar 2007 | A1 |
20080185432 | Caballero et al. | Aug 2008 | A1 |
20090134221 | Zhu et al. | May 2009 | A1 |
20100177076 | Essinger et al. | Jul 2010 | A1 |
20100177080 | Essinger et al. | Jul 2010 | A1 |
20100177707 | Essinger et al. | Jul 2010 | A1 |
20100177749 | Essinger et al. | Jul 2010 | A1 |
20100243747 | Saito | Sep 2010 | A1 |
20100265880 | Rautiola et al. | Oct 2010 | A1 |
20110084143 | Liou | Apr 2011 | A1 |
20110169999 | Grunow et al. | Jul 2011 | A1 |
20110202554 | Powilleit et al. | Aug 2011 | A1 |
20120111946 | Golant | May 2012 | A1 |
20120168511 | Kotlarsky et al. | Jul 2012 | A1 |
20120168512 | Kotlarsky et al. | Jul 2012 | A1 |
20120193423 | Samek | Aug 2012 | A1 |
20120203647 | Smith | Aug 2012 | A1 |
20120223141 | Good et al. | Sep 2012 | A1 |
20120228382 | Havens et al. | Sep 2012 | A1 |
20120248188 | Kearney | Oct 2012 | A1 |
20130043312 | Van Horn | Feb 2013 | A1 |
20130075168 | Amundsen et al. | Mar 2013 | A1 |
20130082104 | Kearney et al. | Apr 2013 | A1 |
20130126618 | Gao | May 2013 | A1 |
20130175341 | Kearney et al. | Jul 2013 | A1 |
20130175343 | Good | Jul 2013 | A1 |
20130257744 | Daghigh et al. | Oct 2013 | A1 |
20130257759 | Daghigh | Oct 2013 | A1 |
20130270346 | Xian et al. | Oct 2013 | A1 |
20130287258 | Kearney | Oct 2013 | A1 |
20130292475 | Kotlarsky et al. | Nov 2013 | A1 |
20130292477 | Hennick et al. | Nov 2013 | A1 |
20130293539 | Hunt et al. | Nov 2013 | A1 |
20130293540 | Laffargue et al. | Nov 2013 | A1 |
20130306728 | Thuries et al. | Nov 2013 | A1 |
20130306731 | Pedrao | Nov 2013 | A1 |
20130307964 | Bremer et al. | Nov 2013 | A1 |
20130308625 | Park et al. | Nov 2013 | A1 |
20130313324 | Koziol et al. | Nov 2013 | A1 |
20130313325 | Wilz et al. | Nov 2013 | A1 |
20130329006 | Boles et al. | Dec 2013 | A1 |
20130332524 | Fiala et al. | Dec 2013 | A1 |
20130342717 | Havens et al. | Dec 2013 | A1 |
20140001267 | Giordano et al. | Jan 2014 | A1 |
20140002828 | Laffargue et al. | Jan 2014 | A1 |
20140008439 | Wang | Jan 2014 | A1 |
20140025584 | Liu et al. | Jan 2014 | A1 |
20140034734 | Sauerwein, Jr. | Feb 2014 | A1 |
20140036848 | Pease et al. | Feb 2014 | A1 |
20140039693 | Havens et al. | Feb 2014 | A1 |
20140042814 | Kather et al. | Feb 2014 | A1 |
20140049120 | Kohtz et al. | Feb 2014 | A1 |
20140049635 | Laffargue et al. | Feb 2014 | A1 |
20140061306 | Wu et al. | Mar 2014 | A1 |
20140063289 | Hussey et al. | Mar 2014 | A1 |
20140066136 | Sauerwein et al. | Mar 2014 | A1 |
20140067692 | Ye et al. | Mar 2014 | A1 |
20140070005 | Nahill et al. | Mar 2014 | A1 |
20140071840 | Venancio | Mar 2014 | A1 |
20140074746 | Wang | Mar 2014 | A1 |
20140076974 | Havens et al. | Mar 2014 | A1 |
20140078341 | Havens et al. | Mar 2014 | A1 |
20140078342 | Li et al. | Mar 2014 | A1 |
20140078345 | Showering | Mar 2014 | A1 |
20140097249 | Gomez et al. | Apr 2014 | A1 |
20140098792 | Wang et al. | Apr 2014 | A1 |
20140100774 | Showering | Apr 2014 | A1 |
20140100813 | Showering | Apr 2014 | A1 |
20140103115 | Meier et al. | Apr 2014 | A1 |
20140104413 | McCloskey et al. | Apr 2014 | A1 |
20140104414 | McCloskey et al. | Apr 2014 | A1 |
20140104416 | Giordano et al. | Apr 2014 | A1 |
20140104451 | Todeschini et al. | Apr 2014 | A1 |
20140106594 | Skvoretz | Apr 2014 | A1 |
20140106725 | Sauerwein, Jr. | Apr 2014 | A1 |
20140108010 | Maltseff et al. | Apr 2014 | A1 |
20140108402 | Gomez et al. | Apr 2014 | A1 |
20140108682 | Caballero | Apr 2014 | A1 |
20140110485 | Toa et al. | Apr 2014 | A1 |
20140114530 | Fitch et al. | Apr 2014 | A1 |
20140124577 | Wang et al. | May 2014 | A1 |
20140124579 | Ding | May 2014 | A1 |
20140125842 | Winegar | May 2014 | A1 |
20140125853 | Wang | May 2014 | A1 |
20140125999 | Longacre et al. | May 2014 | A1 |
20140129378 | Richardson | May 2014 | A1 |
20140131438 | Kearney | May 2014 | A1 |
20140131441 | Nahill et al. | May 2014 | A1 |
20140131443 | Smith | May 2014 | A1 |
20140131444 | Wang | May 2014 | A1 |
20140131445 | Ding et al. | May 2014 | A1 |
20140131448 | Xian et al. | May 2014 | A1 |
20140133379 | Wang et al. | May 2014 | A1 |
20140136208 | Maltseff et al. | May 2014 | A1 |
20140140585 | Wang | May 2014 | A1 |
20140151453 | Meier et al. | Jun 2014 | A1 |
20140152882 | Samek et al. | Jun 2014 | A1 |
20140158770 | Sevier et al. | Jun 2014 | A1 |
20140159869 | Zumsteg et al. | Jun 2014 | A1 |
20140166755 | Liu et al. | Jun 2014 | A1 |
20140166757 | Smith | Jun 2014 | A1 |
20140166759 | Liu et al. | Jun 2014 | A1 |
20140168787 | Wang et al. | Jun 2014 | A1 |
20140175165 | Havens et al. | Jun 2014 | A1 |
20140175172 | Jovanovski et al. | Jun 2014 | A1 |
20140191644 | Chaney | Jul 2014 | A1 |
20140191913 | Ge et al. | Jul 2014 | A1 |
20140197238 | Liu et al. | Jul 2014 | A1 |
20140197239 | Havens et al. | Jul 2014 | A1 |
20140197304 | Feng et al. | Jul 2014 | A1 |
20140204268 | Grunow et al. | Jul 2014 | A1 |
20140214631 | Hansen | Jul 2014 | A1 |
20140217166 | Berthiaume et al. | Aug 2014 | A1 |
20140217180 | Liu | Aug 2014 | A1 |
20140231500 | Ehrhart et al. | Aug 2014 | A1 |
20140232930 | Anderson | Aug 2014 | A1 |
20140247315 | Marty et al. | Sep 2014 | A1 |
20140263493 | Amurgis et al. | Sep 2014 | A1 |
20140263645 | Smith et al. | Sep 2014 | A1 |
20140267609 | Laffargue | Sep 2014 | A1 |
20140270196 | Braho et al. | Sep 2014 | A1 |
20140270229 | Braho | Sep 2014 | A1 |
20140278387 | Digregorio | Sep 2014 | A1 |
20140278391 | Braho et al. | Sep 2014 | A1 |
20140282210 | Bianconi | Sep 2014 | A1 |
20140283282 | Dye et al. | Sep 2014 | A1 |
20140284384 | Lu et al. | Sep 2014 | A1 |
20140288933 | Braho et al. | Sep 2014 | A1 |
20140297058 | Barker et al. | Oct 2014 | A1 |
20140299665 | Barber et al. | Oct 2014 | A1 |
20140312121 | Lu et al. | Oct 2014 | A1 |
20140319220 | Coyle | Oct 2014 | A1 |
20140319221 | Oberpriller et al. | Oct 2014 | A1 |
20140326787 | Barten | Nov 2014 | A1 |
20140332590 | Wang et al. | Nov 2014 | A1 |
20140344943 | Todeschini et al. | Nov 2014 | A1 |
20140346233 | Liu et al. | Nov 2014 | A1 |
20140351317 | Smith et al. | Nov 2014 | A1 |
20140353373 | Van et al. | Dec 2014 | A1 |
20140361073 | Qu et al. | Dec 2014 | A1 |
20140361082 | Xian et al. | Dec 2014 | A1 |
20140362184 | Jovanovski et al. | Dec 2014 | A1 |
20140363015 | Braho | Dec 2014 | A1 |
20140369511 | Sheerin et al. | Dec 2014 | A1 |
20140374483 | Lu | Dec 2014 | A1 |
20140374485 | Xian et al. | Dec 2014 | A1 |
20150001301 | Ouyang | Jan 2015 | A1 |
20150001304 | Todeschini | Jan 2015 | A1 |
20150003673 | Fletcher | Jan 2015 | A1 |
20150009338 | Laffargue et al. | Jan 2015 | A1 |
20150009610 | London et al. | Jan 2015 | A1 |
20150014416 | Kotlarsky et al. | Jan 2015 | A1 |
20150021397 | Rueblinger et al. | Jan 2015 | A1 |
20150028102 | Ren et al. | Jan 2015 | A1 |
20150028103 | Jiang | Jan 2015 | A1 |
20150028104 | Ma et al. | Jan 2015 | A1 |
20150029002 | Yeakley et al. | Jan 2015 | A1 |
20150032709 | Maloy et al. | Jan 2015 | A1 |
20150039309 | Braho et al. | Feb 2015 | A1 |
20150039878 | Barten | Feb 2015 | A1 |
20150040378 | Saber et al. | Feb 2015 | A1 |
20150048168 | Fritz et al. | Feb 2015 | A1 |
20150049347 | Laffargue et al. | Feb 2015 | A1 |
20150051992 | Smith | Feb 2015 | A1 |
20150053766 | Havens et al. | Feb 2015 | A1 |
20150053768 | Wang et al. | Feb 2015 | A1 |
20150053769 | Thuries et al. | Feb 2015 | A1 |
20150060544 | Feng et al. | Mar 2015 | A1 |
20150062366 | Liu et al. | Mar 2015 | A1 |
20150063215 | Wang | Mar 2015 | A1 |
20150063676 | Lloyd et al. | Mar 2015 | A1 |
20150069130 | Gannon | Mar 2015 | A1 |
20150071819 | Todeschini | Mar 2015 | A1 |
20150083800 | Li et al. | Mar 2015 | A1 |
20150086114 | Todeschini | Mar 2015 | A1 |
20150088522 | Hendrickson et al. | Mar 2015 | A1 |
20150096872 | Woodburn | Apr 2015 | A1 |
20150099557 | Pettinelli et al. | Apr 2015 | A1 |
20150100196 | Hollifield | Apr 2015 | A1 |
20150102109 | Huck | Apr 2015 | A1 |
20150115035 | Meier et al. | Apr 2015 | A1 |
20150127791 | Kosecki et al. | May 2015 | A1 |
20150128116 | Chen et al. | May 2015 | A1 |
20150129659 | Feng et al. | May 2015 | A1 |
20150133047 | Smith et al. | May 2015 | A1 |
20150134470 | Hejl et al. | May 2015 | A1 |
20150136851 | Harding et al. | May 2015 | A1 |
20150136854 | Lu et al. | May 2015 | A1 |
20150142492 | Kumar | May 2015 | A1 |
20150144692 | Hejl | May 2015 | A1 |
20150144698 | Teng et al. | May 2015 | A1 |
20150144701 | Xian et al. | May 2015 | A1 |
20150149946 | Benos et al. | May 2015 | A1 |
20150161429 | Xian | Jun 2015 | A1 |
20150169925 | Chen et al. | Jun 2015 | A1 |
20150169929 | Williams et al. | Jun 2015 | A1 |
20150178523 | Gelay et al. | Jun 2015 | A1 |
20150178534 | Jovanovski et al. | Jun 2015 | A1 |
20150178535 | Bremer et al. | Jun 2015 | A1 |
20150178536 | Hennick et al. | Jun 2015 | A1 |
20150178537 | El et al. | Jun 2015 | A1 |
20150181093 | Zhu et al. | Jun 2015 | A1 |
20150181109 | Gillet et al. | Jun 2015 | A1 |
20150186703 | Chen et al. | Jul 2015 | A1 |
20150193644 | Kearney et al. | Jul 2015 | A1 |
20150199957 | Funyak et al. | Jul 2015 | A1 |
20150210199 | Payne | Jul 2015 | A1 |
20150220753 | Zhu et al. | Aug 2015 | A1 |
20150254485 | Feng et al. | Sep 2015 | A1 |
20150310243 | Ackley et al. | Oct 2015 | A1 |
20150310389 | Crimm et al. | Oct 2015 | A1 |
20150327012 | Bian et al. | Nov 2015 | A1 |
20160014251 | Hejl | Jan 2016 | A1 |
20160040982 | Li et al. | Feb 2016 | A1 |
20160042241 | Todeschini | Feb 2016 | A1 |
20160057230 | Todeschini et al. | Feb 2016 | A1 |
20160062473 | Bouchat et al. | Mar 2016 | A1 |
20160092805 | Geisler et al. | Mar 2016 | A1 |
20160101936 | Chamberlin | Apr 2016 | A1 |
20160102975 | McCloskey et al. | Apr 2016 | A1 |
20160104019 | Todeschini et al. | Apr 2016 | A1 |
20160104274 | Jovanovski et al. | Apr 2016 | A1 |
20160109219 | Ackley et al. | Apr 2016 | A1 |
20160109220 | Laffargue et al. | Apr 2016 | A1 |
20160109224 | Thuries et al. | Apr 2016 | A1 |
20160112631 | Ackley et al. | Apr 2016 | A1 |
20160112643 | Laffargue et al. | Apr 2016 | A1 |
20160117627 | Raj et al. | Apr 2016 | A1 |
20160124516 | Schoon et al. | May 2016 | A1 |
20160125217 | Todeschini | May 2016 | A1 |
20160125342 | Miller et al. | May 2016 | A1 |
20160125873 | Braho et al. | May 2016 | A1 |
20160133253 | Braho et al. | May 2016 | A1 |
20160171597 | Todeschini | Jun 2016 | A1 |
20160171666 | McCloskey | Jun 2016 | A1 |
20160171720 | Todeschini | Jun 2016 | A1 |
20160171775 | Todeschini et al. | Jun 2016 | A1 |
20160171777 | Todeschini et al. | Jun 2016 | A1 |
20160174674 | Oberpriller et al. | Jun 2016 | A1 |
20160178479 | Goldsmith | Jun 2016 | A1 |
20160178685 | Young et al. | Jun 2016 | A1 |
20160178707 | Young et al. | Jun 2016 | A1 |
20160179132 | Harr | Jun 2016 | A1 |
20160179143 | Bidwell et al. | Jun 2016 | A1 |
20160179368 | Roeder | Jun 2016 | A1 |
20160179378 | Kent et al. | Jun 2016 | A1 |
20160180130 | Bremer | Jun 2016 | A1 |
20160180133 | Oberpriller et al. | Jun 2016 | A1 |
20160180136 | Meier et al. | Jun 2016 | A1 |
20160180594 | Todeschini | Jun 2016 | A1 |
20160180663 | McMahan et al. | Jun 2016 | A1 |
20160180678 | Ackley et al. | Jun 2016 | A1 |
20160180713 | Bernhardt et al. | Jun 2016 | A1 |
20160185136 | Ng et al. | Jun 2016 | A1 |
20160185291 | Chamberlin | Jun 2016 | A1 |
20160186926 | Oberpriller et al. | Jun 2016 | A1 |
20160188861 | Todeschini | Jun 2016 | A1 |
20160188939 | Sailors et al. | Jun 2016 | A1 |
20160188940 | Lu et al. | Jun 2016 | A1 |
20160188941 | Todeschini et al. | Jun 2016 | A1 |
20160188942 | Good et al. | Jun 2016 | A1 |
20160188943 | Franz | Jun 2016 | A1 |
20160188944 | Wilz et al. | Jun 2016 | A1 |
20160189076 | Mellott et al. | Jun 2016 | A1 |
20160189087 | Morton et al. | Jun 2016 | A1 |
20160189088 | Pecorari et al. | Jun 2016 | A1 |
20160189092 | George et al. | Jun 2016 | A1 |
20160189284 | Mellott et al. | Jun 2016 | A1 |
20160189288 | Todeschini et al. | Jun 2016 | A1 |
20160189366 | Chamberlin et al. | Jun 2016 | A1 |
20160189443 | Smith | Jun 2016 | A1 |
20160189447 | Valenzuela | Jun 2016 | A1 |
20160189489 | Au et al. | Jun 2016 | A1 |
20160191684 | Dipiazza et al. | Jun 2016 | A1 |
20160192051 | Dipiazza et al. | Jun 2016 | A1 |
20160202951 | Pike et al. | Jul 2016 | A1 |
20160202958 | Zabel et al. | Jul 2016 | A1 |
20160202959 | Doubleday et al. | Jul 2016 | A1 |
20160203021 | Pike et al. | Jul 2016 | A1 |
20160203429 | Mellott et al. | Jul 2016 | A1 |
20160203797 | Pike et al. | Jul 2016 | A1 |
20160203820 | Zabel et al. | Jul 2016 | A1 |
20160204623 | Haggerty et al. | Jul 2016 | A1 |
20160204636 | Allen et al. | Jul 2016 | A1 |
20160204638 | Miraglia et al. | Jul 2016 | A1 |
20160227912 | Oberpriller et al. | Aug 2016 | A1 |
20160232891 | Pecorari | Aug 2016 | A1 |
20160292477 | Bidwell | Oct 2016 | A1 |
20160294779 | Yeakley et al. | Oct 2016 | A1 |
20160306769 | Kohtz et al. | Oct 2016 | A1 |
20160314276 | Wilz et al. | Oct 2016 | A1 |
20160314294 | Kubler et al. | Oct 2016 | A1 |
20160316190 | McCloskey et al. | Oct 2016 | A1 |
20160323310 | Todeschini et al. | Nov 2016 | A1 |
20160325677 | Fitch et al. | Nov 2016 | A1 |
20160327614 | Young et al. | Nov 2016 | A1 |
20160327930 | Charpentier et al. | Nov 2016 | A1 |
20160328762 | Pape | Nov 2016 | A1 |
20160330218 | Hussey et al. | Nov 2016 | A1 |
20160343163 | Venkatesha et al. | Nov 2016 | A1 |
20160343176 | Ackley | Nov 2016 | A1 |
20160364914 | Todeschini | Dec 2016 | A1 |
20160370220 | Ackley et al. | Dec 2016 | A1 |
20160372282 | Bandringa | Dec 2016 | A1 |
20160373847 | Vargo et al. | Dec 2016 | A1 |
20160377414 | Thuries et al. | Dec 2016 | A1 |
20160377417 | Jovanovski et al. | Dec 2016 | A1 |
20170010141 | Ackley | Jan 2017 | A1 |
20170010328 | Mullen et al. | Jan 2017 | A1 |
20170010780 | Waldron et al. | Jan 2017 | A1 |
20170016714 | Laffargue et al. | Jan 2017 | A1 |
20170018094 | Todeschini | Jan 2017 | A1 |
20170046603 | Lee et al. | Feb 2017 | A1 |
20170047864 | Stang et al. | Feb 2017 | A1 |
20170053146 | Liu et al. | Feb 2017 | A1 |
20170053147 | Germaine et al. | Feb 2017 | A1 |
20170053647 | Nichols et al. | Feb 2017 | A1 |
20170055606 | Xu et al. | Mar 2017 | A1 |
20170060316 | Larson | Mar 2017 | A1 |
20170061961 | Nichols et al. | Mar 2017 | A1 |
20170064634 | Van et al. | Mar 2017 | A1 |
20170083730 | Feng et al. | Mar 2017 | A1 |
20170091502 | Furlong et al. | Mar 2017 | A1 |
20170091706 | Lloyd et al. | Mar 2017 | A1 |
20170091741 | Todeschini | Mar 2017 | A1 |
20170091904 | Ventress, Jr. | Mar 2017 | A1 |
20170092908 | Chaney | Mar 2017 | A1 |
20170094238 | Germaine et al. | Mar 2017 | A1 |
20170098947 | Wolski | Apr 2017 | A1 |
20170100949 | Celinder et al. | Apr 2017 | A1 |
20170108838 | Todeschini et al. | Apr 2017 | A1 |
20170108895 | Chamberlin et al. | Apr 2017 | A1 |
20170118355 | Wong et al. | Apr 2017 | A1 |
20170123598 | Phan et al. | May 2017 | A1 |
20170124369 | Rueblinger et al. | May 2017 | A1 |
20170124396 | Todeschini et al. | May 2017 | A1 |
20170124687 | McCloskey et al. | May 2017 | A1 |
20170126873 | McGary et al. | May 2017 | A1 |
20170126904 | D'Armancourt et al. | May 2017 | A1 |
20170139012 | Smith | May 2017 | A1 |
20170140329 | Bernhardt et al. | May 2017 | A1 |
20170140731 | Smith | May 2017 | A1 |
20170147847 | Berggren et al. | May 2017 | A1 |
20170150124 | Thuries | May 2017 | A1 |
20170169198 | Nichols | Jun 2017 | A1 |
20170171035 | Lu et al. | Jun 2017 | A1 |
20170171703 | Maheswaranathan | Jun 2017 | A1 |
20170171803 | Maheswaranathan | Jun 2017 | A1 |
20170180359 | Wolski et al. | Jun 2017 | A1 |
20170180577 | Nguon et al. | Jun 2017 | A1 |
20170181299 | Shi et al. | Jun 2017 | A1 |
20170190192 | Delario et al. | Jul 2017 | A1 |
20170193432 | Bernhardt | Jul 2017 | A1 |
20170193461 | Celinder et al. | Jul 2017 | A1 |
20170193727 | Van et al. | Jul 2017 | A1 |
20170200108 | Au et al. | Jul 2017 | A1 |
20170200275 | McCloskey et al. | Jul 2017 | A1 |
Number | Date | Country |
---|---|---|
2013163789 | Nov 2013 | WO |
2013173985 | Nov 2013 | WO |
2014019130 | Feb 2014 | WO |
2014110495 | Jul 2014 | WO |
Entry |
---|
U.S. Appl. No. 16/044,655, filed Jul. 25, 2018, U.S. Pat. No. 10/796,119, Patented. |
U.S. Patent Application for Interactive Indicia Reader, filed Aug. 6, 2014 (Todeschini), U.S. Appl. No. 14/452,697. |
U.S. Patent Application for Interactive User Interface for Capturing a Document in an Image Signal filed May 27, 2015 (Showering et al.), U.S. Appl. No. 14/722,608. |
U.S. Patent Application for Intermediate Linear Positioning filed May 5, 2015 (Charpentier et al.); 60 pages, U.S. Appl. No. 14/704,050. |
U.S. Patent Application for Laser Scanning Code Symbol Reading System, filed Jul. 24, 2014 (Xian et al.), U.S. Appl. No. 14/339,708. |
U.S. Patent Application for Media Gate for Thermal Transfer Printers filed Dec. 23, 2014 (Bowles), U.S. Appl. No. 14/580,262. |
U.S. Patent Application for Medication Management System filed Apr. 24, 2015 (Sewell et al.), U.S. Appl. No. 14/695,364. |
U.S. Patent Application for Method and Apparatus for Reading Optical Indicia Using a Plurality of Data Sources filed May 8, 2015 (Smith et al.), U.S. Appl. No. 14/707,492. |
U.S. Patent Application for Method and Application for Scanning a Barcode With a Smart Device While Continuously Running and Displaying an Application on the Si'1art Device Display filed Mar. 20, 2015 (Todeschini), U.S. Appl. No. 14/664,063. |
U.S. Patent Application for Method and System for Recognizing Speech Using Wildcards in an Expected Response filed Oct. 29, 2014 (Braho et al.), U.S. Appl. No. 14/527,191. |
U.S. Patent Application for Method and System to Protect Software-Based Network-Connected Devices From Advanced Persistent Threat filed May 6, 2015 (Hussey et al.), U.S. Appl. No. 14/705,407. |
U.S. Patent Application for Method of and System for Detecting Object Weighing Interferences filed Jun. 12, 2015 (Amundsen et al.), U.S. Appl. No. 14/738,038. |
U.S. Patent Application for Method of Programming the Default Cable Interface Software in an Indicia Reading Device filed May 29, 2015 (Barten), U.S. Appl. No. 14/724,849. |
U.S. Patent Application for Methods for Training a Speech Recognition System filed Feb. 11, 2015 (Pecorari), U.S. Appl. No. 14/619,093. |
U.S. Patent Application for Mobile Computing Device With Data Cognition Software, filed on Aug. 19, 2014 (Todeschini et al.), U.S. Appl. No. 14/462,801. |
U.S. Patent Application for Multifunction Point of Sale Apparatus With Optical Signature Capture filed Jul. 30, 2014 (Good et al.), U.S. Appl. No. 14/446,391. |
U.S. Patent Application for Multifunction Point of Sale System filed Mar. 19, 2015 (Van Horn et al.), U.S. Appl. No. 14/662,922. |
U.S. Patent Application for Multiple Platform Support System and Method filed Apr. 15, 2015 (Qu et al.), U.S. Appl. No. 14/686,822. |
U.S. Patent Application for Multipurpose Optical Reader, filed May 14, 2014 (Jovanovski et al.); 59 pages; now abandoned., U.S. Appl. No. 14/277,337. |
U.S. Patent Application for Navigation System Configured to Integrate Motion Sensing Device Inputs filed Apr. 2, 2015 (Showering), U.S. Appl. No. 14/676,898. |
U.S. Patent Application for Optical Pattern Projector filed Jun. 23, 2015 (Thuries et al.), U.S. Appl. No. 14/747,197. |
U.S. Patent Application for Optical Reading Apparatus Having Variable Settings filed Jan. 21, 2015 (Chen et al.), U.S. Appl. No. 14/416,147. |
U.S. Patent Application for Portable Electronic Devices Having a Separate Location Trigger Unit for Use in Controlling an Application Unit filed Nov. 3, 2014 (Bian et al. ), U.S. Appl. No. 14/398,542. |
U.S. Patent Application for Pre-Paid Usage System for Encoded Information Reading Terminals filed May 13, 2015 (Smith), U.S. Appl. No. 14/710,666. |
U.S. Patent Application for Reprogramming System and Method for Devices Including Programming Symbol filed Mar. 18, 2015 (Soule et al.), U.S. Appl. No. 14/661,013. |
U.S. Patent Application for Safety System and Method filed Dec. 22, 2014 (Ackley et al.), U.S. Appl. No. 14/578,627. |
U.S. Patent Application for Secure Unatiended Network Authentication filed Apr. 24, 2015 (Kubler et al.); 52 pages, U.S. Appl. No. 14/695,923. |
U.S. Patent Application for Selective Output of Decoded Message Data filed Jun. 19, 2015 (Todeschini et al.), U.S. Appl. No. 14/745,006. |
U.S. Patent Application for Shelving and Package Locating Systems for Delivery Vehicles filed Jan. 6, 2015 (Payne), U.S. Appl. No. 14/590,024. |
U.S. Patent Application for Symbol Reading System Having Predictive Diagnostics filed Apr. 29, 2015 (Nahill et al.), U.S. Appl. No. 14/699,436. |
U.S. Patent Application for System and Method for Detecting Barcode Printing Errors filed Jan. 14, 2015 (Ackley), U.S. Appl. No. 14/596,757. |
U.S. Patent Application for System and Method for Dimensioning filed Oct. 21, 2014 (Ackley et al.), U.S. Appl. No. 14/519,211. |
U.S. Patent Application for System and Method for Display of Information Using a Vehicle-Mount Computer filed May 8, 2015 (Chamberlin), U.S. Appl. No. 14/707,037. |
U.S. Patent Application for System and Method for Power Management of Mobile Devices filed Apr. 9, 2015 (Murawski et al.), U.S. Appl. No. 14/682,615. |
U.S. Patent Application for System and Method for Regulating Barcode Data Injection Into a Running Application on a Si1art Device filed May 1, 2015 (Todeschini et al.), U.S. Appl. No. 14/702,110. |
U.S. Patent Application for System and Method for Reliable Store-and-Forward Data Handling by Encoded Information Reading Terminals filed Mar. 2, 2015 (Sevier), U.S. Appl. No. 14/635,346. |
U.S. Patent Application for System for Communication Via a Peripheral Hub filed Apr. 15, 2015 (Kohtz et al.), U.S. Appl. No. 14/687,289. |
U.S. Patent Application for Tactile Switch for a Mobile Electronic Device filed Jun. 16, 2015 (Bandringa), U.S. Appl. No. 14/740,320. |
U.S. Patent Application for Terminal Having Illumination and Focus Control filed May 21, 2014 (Liu et al.), U.S. Appl. No. 14/283,282. |
U.S. Patent Application for Terminal Including Imaging Assembly filed Feb. 25, 2015 (Gomez et al.), U.S. Appl. No. 14/630,841. |
U.S. Patent Application for Tracking Battery Conditions filed May 4, 2015 (Young et al.), U.S. Appl. No. 14/702,979. |
U.S. Patent Application for Transforming Components of a Web Page to Voice Prompts filed Mar. 26, 2015 (Funyak et al.), U.S. Appl. No. 14/669,280. |
U.S. Patent Application for Variable Depth of Field Barcode Scanner filed Sep. 10, 2014 (McCloskey et al.); 29 pages, U.S. Appl. No. 14/483,056. |
U.S. Patent Application for Vehicle Mount Computer With Configurable Ignition Switch Behavior filed Mar. 20, 2015 (Davis et al.), U.S. Appl. No. 14/663,638. |
U.S. Patent Application for Wireless Mesh Point Portable Data Terminal filed Jun. 18, 2015 (Wang et al.), U.S. Appl. No. 14/743,257. |
U.S. Appl. No. 29/458,405 for an Electronic Device, filed Jun. 19, 2013 (Fitch et al.); 22 pages. |
U.S. Appl. No. 29/459,620 for an Electronic Device Enclosure, filed Jul. 2, 2013 (London et al.); 21 pages. |
U.S. Appl. No. 29/468,118 for an Electronic Device Case, filed Sep. 26, 2013 (Oberpriller et al.); 44 pages. |
U.S. Appl. No. 29/486,759 for an Imaging Terminal, filed Apr. 2, 2014 (Oberpriller et al.); 8 pages. |
U.S. Appl. No. 29/516,892 for Table Computer filed Feb. 6, 2015 (Bidwell et al.); 13 pages. |
U.S. Appl. No. 29/519,017 for Scanner filed Mar. 2, 2015 (Zhou et al.); 11 pages. |
Final Rejection dated Feb. 5, 2020 for U.S. Appl. No. 16/044,655. |
Non-Final Rejection dated Oct. 16, 2019 for U.S. Appl. No. 16/044,655. |
Notice of Allowance and Fees Due (PTOL-85) dated Jun. 2, 2020 for U.S. Appl. No. 16/044,655. |
U.S. Patent Application Brian L. Jovanovski et al., filed Jun. 23, 2015, not published yet, Dual-Projector Three-Dimensional Scanner; 40 pages. [Previously cited and copy provided in parent application], U.S. Appl. No. 14/747,490. |
U.S. Patent Application for a Laser Scanning Module Employing an Elastomeric U-Hinge Based Laser Scanning Assembly, filed Feb. 7, 2012 (Feng et al.), U.S. Appl. No. 13/367,978. |
U.S. Patent Application for a Mobile-Phone Adapter for Electronic Transactions, filed Jul. 10, 2014 (Hejl), U.S. Appl. No. 14/327,827. |
U.S. Patent Application for a System and Method for Indicia Verification, filed Jul. 18, 2014 (Hejl), U.S. Appl. No. 14/334,934. |
U.S. Patent Application for Adaptable Interface for a Mobile Computing Device filed Oct. 31, 2014 (Schoon et al.), U.S. Appl. No. 14/529,563. |
U.S. Patent Application for Aimer for Barcode Scanning filed Mar. 31, 2015 (Bidwell), U.S. Appl. No. 14/674,329. |
U.S. Patent Application for an Axially Reinforced Flexible Scan Element, filed Jul. 25, 2014 (Reublinger et al.); 41 pages, U.S. Appl. No. 14/340,627. |
U.S. Patent Application for Apparatus and Methods for Monitoring One or More Portable Data Terminals (Caballero et al.), U.S. Appl. No. 14/725,352. |
U.S. Patent Application for Application Independent DEX/UCS Interface filed May 8, 2015 (Pape), U.S. Appl. No. 14/707,123. |
U.S. Patent Application for Augumented Reality Enabled Hazard Display filed May 19, 2015 (Venkatesha et al.), U.S. Appl. No. 14/715,672. |
U.S. Patent Application for Auto-Contrast Viewfinder for an Indicia Reader filed Dec. 12, 2014 (Todeschini), U.S. Appl. No. 14/568,305. |
U.S. Patent Application for Autofocus Lens System for Indicia Readers filed Apr. 29, 2014 (Ackley et al.), U.S. Appl. No. 14/264,173. |
U.S. Patent Application for Barcode Reader With Security Features filed Oct. 31, 2014 (Todeschini et al.), U.S. Appl. No. 14/529,857. |
U.S. Patent Application for Barcode Scanning System Using Wearable Device With Embedded Camera filed Nov. 5, 2014 (Todeschini), U.S. Appl. No. 14/533,319. |
U.S. Patent Application for Calibrating a Volume Dimensioner filed Jun. 16, 2015 (Ackley et al.); 63 pages, U.S. Appl. No. 14/740,373. |
U.S. Patent Application for Cargo Apportionment Techniques filed Feb. 5, 2015 (Morton et al.), U.S. Appl. No. 14/614,796. |
U.S. Patent Application for Cloud-Based System for Reading of Decodable Indicia filed Jun. 19, 2015 (Todeschini et al.), U.S. Appl. No. 14/744,836. |
U.S. Patent Application for Concatenated Expected Responses for Speech Recognition filed Nov. 7, 2014 (Braho et al.), U.S. Appl. No. 14/535,764. |
U.S. Patent Application for Cordless Indicia Reader With a Multifunction Coil for Wireless Charging and EAS Deactivation, filed Jun. 24, 2015 (Xie et al.), U.S. Appl. No. 14/748,446. |
U.S. Patent Application for Data Collection Module and System filed Jun. 8, 2015 (Powilleit), U.S. Appl. No. 14/732,870. |
U.S. Patent Application for Decodable Indicia Reading Terminal With Combined Illumination filed Mar. 18, 2015 (Kearney et al.), U.S. Appl. No. 14/660,970. |
U.S. Patent Application for Design Patiern for Secure Store filed Mar. 9, 2015 (Zhu et al.); 23 pages, U.S. Appl. No. 14/405,278. |
U.S. Patent Application for Device for Supporting an Electronic Tool on a User's Hand filed Feb. 5, 2015 (Oberpriller et al.), U.S. Appl. No. 14/614,706. |
U.S. Patent Application for Device Management Proxy for Secure Devices filed Apr. 1, 2015 (Yeakley et al.), U.S. Appl. No. 14/676,327. |
U.S. Patent Application for Device Management Using Virtual Interfaces Cross-Reference to Related Applications filed Jun. 2, 2015 (Caballero), U.S. Appl. No. 14/728,397. |
U.S. Patent Application for Device, System, and Method for Determining the Status of Checkout Lanes filed Feb. 23, 2015 (Todeschini), U.S. Appl. No. 14/628,708. |
U.S. Patent Application for Dimensioning System Calibration Systems and Methods filed Apr. 6, 2015 (Laffargue et al.), U.S. Appl. No. 14/679,275. |
U.S. Patent Application for Dimensioning System With Guided Alignment, filed Aug. 6, 2014 (Li et al.), U.S. Appl. No. 14/453,019. |
U.S. Patent Application for Dimensioning System With Multipath Interference Mitigation filed Oct. 21, 2014 (Thuries et al.), U.S. Appl. No. 14/519,179. |
U.S. Patent Application for Directing an Inspector Through an Inspection filed Nov. 3, 2014 (Miller et al.), U.S. Appl. No. 14/531,154. |
U.S. Patent Application for Docking System and Method Using Near Field Communication filed Apr. 21, 2014 (Showering), U.S. Appl. No. 14/257,364. |
U.S. Patent Application for Dynamic Diagnostic Indicator Generation filed Dec. 17, 2014 (Goldsmith), U.S. Appl. No. 14/573,022. |
U.S. Patent Application for Electronic Device With Wireless Path Selection Capability filed May 28, 2015 (Wang et al.), U.S. Appl. No. 14/724,134. |
U.S. Patent Application for Evaluating Image Values filed May 19, 2015 (Ackley), U.S. Appl. No. 14/715,916. |
U.S. Patent Application for Hand-Mounted Indicia-Reading Device with Finger Motion Triggering filed Apr. 1, 2014 (Van Horn et al.), U.S. Appl. No. 14/231,898. |
U.S. Patent Application for Handheld Dimensioner With Data-Quality Indication filed Oct. 21, 2014 (Laffargue et al.), U.S. Appl. No. 14/519,233. |
U.S. Patent Application for Handheld Dimensioning System With Feedback filed Oct. 21, 2014 (Laffargue et al.), U.S. Appl. No. 14/519,195. |
U.S. Patent Application for Handheld Dimensioning System With Measurement-Conformance Feedback filed Oct. 21, 2014 (Ackley et al.), U.S. Appl. No. 14/519,249. |
U.S. Patent Application for Hands-Free Human Machine Interface Responsive to a Driver of a Vehicle filed May 6, 2015 (Fitch et al.), U.S. Appl. No. 14/705,012. |
U.S. Patent Application for Identifying Inventory Items in a Storage Facility filed Oct. 14, 2014 (Singel et al.), U.S. Appl. No. 14/513,808. |
U.S. Patent Application for Imaging Apparatus Comprising Image Sensor Array Having Shared Global Shutter Circuitry filed Jun. 19, 2015 (Wang), U.S. Appl. No. 14/744,633. |
U.S. Patent Application for Imaging Apparatus Having Imaging Assembly filed May 29, 2015 (Barber et al.), U.S. Appl. No. 14/724,908. |
U.S. Patent Application for Indicia Reader filed Apr. 1, 2015 (Huck), U.S. Appl. No. 14/676,109. |
U.S. Patent Application for Indicia Reader for Size-Limited Applications filed Mar. 7, 2014 (Feng et al.), U.S. Appl. No. 14/200,405. |
U.S. Patent Application for Indicia Reading System Employing Digital Gain Control filed Jun. 18, 2015 (Xian et al.), U.S. Appl. No. 14/742,818. |
U.S. Patent Application for Indicia-reader Having Unitary Construction Scanner, filed Jan. 8, 2014 (Colavito et al.), U.S. Appl. No. 14/150,393. |
U.S. Patent Application for Indicia-Reading Systems Having an Interface With a User's Nervous System filed Jun. 10, 2015 (Todeschini), U.S. Appl. No. 14/735,717. |
U.S. Appl. No. 29/523,098 for Handle for a Tablet Computer filed Apr. 7, 2015 (Bidwell et al.); 17 pages. |
U.S. Appl. No. 29/524,186 for Scanner filed Apr. 17, 2015 (Zhou et al.); 17 pages. |
U.S. Appl. No. 29/525,068 for Tablet Computer With Removable Scanning Device filed Apr. 27, 2015 (Schulte et al.); 19 pages. |
U.S. Appl. No. 29/526,918 for Charging Base filed May 14, 2015 (Fitch et al.); 10 pages. |
U.S. Appl. No. 29/528,165 for In-Counter Barcode Scanner filed May 27, 2015 (Oberpriller et al.); 13 pages. |
U.S. Appl. No. 29/528,590 for Electronic Device filed May 29, 2015 (Fitch et al.); 9 pages. |
U.S. Appl. No. 29/528,890 for Mobile Computer Housing filed Jun. 2, 2015 (Fitch et al.); 61 pages. |
U.S. Appl. No. 29/529,441 for Indicia Reading Device filed Jun. 8, 2015 (Zhou et al.); 14 pages. |
U.S. Appl. No. 29/530,600 for Cyclone filed Jun. 18, 2015 (Vargo et al). |
Number | Date | Country | |
---|---|---|---|
20200394374 A1 | Dec 2020 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 16044655 | Jul 2018 | US |
Child | 17006244 | US |