Many infrared cameras today produce an image (IR image) of a scene using only energy in the far-infrared portion of the electromagnetic spectrum, typically in the 8-14 micron range. Images obtained using these cameras assign colors or gray-levels to the pixels composing the scene based on the intensity of the IR radiation reaching the camera's sensor elements. Because the resulting IR image is based on the target's temperature, and because the colors or levels displayed by the camera do not typically correspond to the visible light colors of the scene, it can be difficult, especially for novice users of such a device, to accurately relate features of interest (e.g. hot spots) in the IR scene with their corresponding locations in the visible-light scene viewed by the operator. In applications where the infrared scene contrast is low, infrared-only images may be especially difficult to interpret.
An infrared scene is a result of thermal emission and, not all, but most infrared scenes are by their very nature less sharp compared to visible images which are a result of reflected visible light. For example, considering an electric control panel of an industrial machine which has many electrical components and interconnections, the visible image will be sharp and clear due to the different colors and well defined shapes. The infrared image may appear less sharp due to the transfer of heat from the hot part or parts to adjacent parts.
When panning an area with an infrared camera looking for hot or cold spots, one can watch the camera display for a visible color change. However, sometimes the hot or cold spot may be small and the color change may go unnoticed. To aid in the identification of hot or cold spots, infrared cameras often indicate the hot spot or cold spot location via a visible cursor or other graphical indicator on the display. The temperature of such hot spots, calculated using well-known radiometric techniques (e.g., establishing or measuring a reference temperature), is often displayed nearby the cursor. Even with the color change and the hot spot indications, it can be difficult to accurately relate the hot spot (or other features of interest) in the camera display's IR imagery with their corresponding locations in the visible-light scene viewed by the operator.
To address this problem of better identifying temperature spots of interest, some cameras allow the operator to capture a visible-light image (often called a “control image”) of the scene using a separate visible light camera built into the infrared camera. The FLIR ThermaCam® P65 commercially available from FLIR Systems of Wilsonville, Oreg. is an example of such a camera. These cameras provide no capability to automatically align, or to merge the visible-light and infrared images in the camera. It is left to the operator to manually correlate image features of interest in the infrared image with corresponding image features in the visible-light image.
Alternatively, some infrared cameras employ a laser pointer that is either built into, or affixed to the camera. The FLIR ThermaCam® E65 commercially available from FLIR Systems of Wilsonville, Oreg. is an example of such a camera. This laser pointer projects a visible point or area onto the target, to allow the user to visually identify that portion of the target scene that is being displayed by the infrared camera. Because the laser pointer radiation is in the visible spectrum, it is not visible in the infrared image. As a result, the laser pointer is of limited value in infrared cameras. This can be problematic when the location of a hot or cold spot is difficult to identify. For example, large industrial control panels often have many components that are similar in shape and packed tightly together. It is sometimes difficult to determine the exact component that is causing a thermal event, such as a hot spot in the infrared camera image.
Other infrared temperature measurement instruments may employ either a single temperature measurement sensor, or a very small number of temperature sensors arrayed in a grid pattern. Single point instruments typically provide a laser pointing system to identify the target area by illuminating the point or area viewed by the single temperature sensor element, e.g. Mikron M120 commercially available from Mikron Infrared Inc. of Oakland, N.J. Alternatively, some systems employ an optical system that allows the user to visually identify the point in the target scene that is being measured by the instrument by sighting through an optical path that is aligned with the temperature sensor, e.g. Mikron M90 commercially available from Mikron Infrared Inc. of Oakland, N.J. Instruments with more than one sensor element typically provide a very crude infrared image made up of a small number of scene pixels, each with a relatively large instantaneous field of view (IFOV), e.g. IRISYS IRI 1011 commercially available from Advanced Test Equipment of San Diego, Calif. It can be very difficult to accurately identify features of interest using such images.
It is often difficult to focus infrared images because the infrared images do not typically have sharp resolution. For example, because of heat transfer by multiple processes from hot locations to adjoining locations, the images do not always have sharp resolution. This makes focusing the infrared image user subjective. It is desirable to make the focusing of infrared images less subjective.
Certain embodiments of the invention include a camera producing visible light images with thermal data. The camera comprises a visible light (VL) lens, a VL sensor, an infrared (IR) lens, an IR sensor, and a display. The IR sensor has substantially fewer sensor elements than the VL sensor. The display can concurrently display VL images from the VL lens and sensor and thermal data from the IR lens and IR sensor. The displayed VL image may be divided into an array of zones where each zone corresponds to one of the IR sensor elements, and the thermal data is selectively displayed within the corresponding zones over portions of the VL image.
Certain embodiments of the invention include a camera for sensing infrared (IR) images including an array of IR detectors and an alarm module. The array of IR detectors can sense IR images of a target scene. The alarm module can provide an audible alarm when a portion of the sensed IR images meets at least one user-defined alarm criterion, the alarm is emitted with a tone of variable output, where the variation of the output tone indicates the relative level of the alarm.
System Description
The Visible-Light camera module includes a CMOS, CCD or other types of visible-light camera, LED torch/flash and a laser pointer. This camera streams RGB image display data (e.g. 30 Hz) to the FPGA for combination with infrared RGB image data and then sends the combined image data to the display.
The Analog Engine interfaces with and controls the infrared sensor, and streams raw infrared image data (e.g. 30 Hz) to the DSP. The DSP performs computations to convert the raw infrared image data to scene temperatures, and then to RGB colors corresponding to the scene temperatures and selected color palette. For example, U.S. Pat. No. 6,444,983 entitled “Microbolometer Focal Plane Array With Controlled Bias,” assigned to the present assignee, is incorporated herein in its entirety, discloses such an infrared camera. The DSP then streams the resulting infrared RGB image display data to the FPGA where it is combined with the VL RGB image data and then sends the combined image data to the display.
The Embedded Processor Card Engine includes a general-purpose microprocessor that provides a graphical user interface (GUI) to the camera operator. This GUI interface consists of menus, text, and graphical display elements that are sent to the FPGA, where they are buffered in SRAM and then sent to the display.
The MSP430 interfaces with the user interface including camera buttons, mouse, LCD backlight, and the smart battery. It reads these inputs and provides the information to the embedded processor card engine where it is used to control the GUI and provides other system control functions.
The FPGA drives the display(s) (LCD and/or TV, for example) with combined visible-light image data, infrared image data, and GUI data. The FPGA requests both the visible-light and infrared image data from the VL and infrared camera modules and alpha-blends them together. It also alpha-blends the resulting display image with the GUI data to create a final blended image that is sent to the LCD display. Of course the display associated with the embodiments of the invention is not limited to an LCD-type display. The FPGA operates under control of the DSP, which is further controlled by the embedded processor card engine. The degree of image alpha-blending and the display mode, i.e. picture-in-a-picture, full screen, color alarm and zoom mode, is controlled by the user through the GUI. These settings are sent from the embedded processor card engine to the DSP which then configures the FPGA properly.
Optical Configuration
Embodiments of the invention combine an engine of a real-time visible-light camera with an engine of a real-time infrared camera close to each other in the same housing such that the optical axes are roughly parallel to each other.
The camera according to the embodiments of the invention places the engine or module of a real-time visible-light camera in the housing of a real-time infrared camera. The placement is such that the visible and infrared optical axes are as close as practical and roughly parallel to each other, for example, in the vertical plane of the infrared optical axis. Of course other spatial arrangements are possible. The visible light camera module, i.e., VL optics and VL sensor array, are chosen to have a larger field of view (FOV) than the infrared camera module.
In certain embodiments, the visible light optics are such that the visible light camera module remains in focus at all usable distances. Only the infrared lens needs focus adjustment for targets at different distances.
Parallax Correction and Display Modes
The camera corrects the visible-light and infrared images for parallax and provides several different methods to display the registered images to the operator. These methods are described below. In general, parallax error corrections are based on the infrared focus distance as will be described hereinafter. However, parallax error may also be corrected by determining the distance from the target image (other than via focus distance) by schemes known to those of ordinary skill in the art.
The camera according to the embodiments of the invention can operate in one of three display modes; 1) full screen visible, infrared and/or blended, 2) picture-in-a-picture such as partial infrared image in a full screen visible image, and 3) infrared color alarms in visible-light images. In any one of these display modes, temperatures will be recorded and can be displayed in the infrared portion of the image. Temperatures can also be displayed on a visible-light only image from the recorded but not displayed infrared image.
In the full screen display mode, an operator has a choice of selecting for display a full screen visible-light only image, a full screen infrared only image, or a full screen blend of visible-light and infrared images. In an embodiment of the invention, the display is about 320 by 240 pixels and is represented by the dashed-line box shown in
As the number of pixels of the infrared sensor is reduced, any resulting infrared image will become course. However, certain embodiments of the invention increase the utility of even small infrared sensor arrays. For instance, an 8 by 8 array may be considered too course to provide infrared imagery that matches visible light imagery in the Full-Screen, Full-Sensor Infrared and Full-Screen, Partial-Sensor (or Full-Sensor) Visible-Light display mode. In the embodiment shown in
Again, these particular dimensions provided for the embodiments shown in
Parallax error between the visible-light image and the infrared image is corrected automatically by the camera. This process is referred to as registering. In order to apply the proper parallax correction, the camera must first determine the distance to the target object of interest. One method to determine the target distance is to sense the focus position of the infrared lens using a Hall-effect sensor.
In the embodiment shown in
Estimating the distance between the target and the camera is a valuable safety feature. For example, OSHA has specific safety distance requirements when inspecting high voltage electrical cabinets. Thus, using the camera according to the embodiments of the invention, one can display the distance to the target on the display so that the camera operator is assisted in complying with OSHA's safety requirements.
In addition, it can be valuable to know the size of the spot on the target that is being measured (instantaneous field of view spot size). Because the spot size is a function of distance and the embodiments of the invention have the ability to measure (or rather estimate) distance that is needed to correct parallax error, spot size can be calculated as a function of distance and displayed to the camera operator via the display.
The lens position sensor value to focus distance correlation for each infrared lens is determined at the factory and stored with other camera calibration data in the camera's non-volatile memory. This calibration data includes X and Y image offsets calculated for each focus distance. By utilizing the sensed infrared lens focus position and the factory calibration data, the correct X and Y sensor offsets of the partial area from the visible-light sensor to be displayed can be computed and used to select the appropriate visible-light sensor area for the current infrared focus distance. That is, as the focus distance of the infrared lens is changed, different areas of the visible-light sensor image are extracted and displayed, resulting in registration of the infrared and visible-light images for objects at the focus distance.
Note that objects within the scene that are not at the focus distance will still exhibit a parallax error. Nearer objects will exhibit a larger parallax error than objects beyond the focus distance. In practice, parallax error becomes negligible beyond a focus distance of approximately 8 feet for lenses used with typical infrared cameras. Also note that parallax errors can only be corrected down to a limited close focus distance to the camera (typically about 2 feet). This distance is determined by how much “extra” field of view the visible-light sensor provides as compared to the infrared sensor.
When an image is captured, the full visible-light image and the full infrared image with all of the ancillary data are saved in an image file on the camera memory card. That part of the visible-light image not displayed which lies outside of the camera display dimensions when the image was taken is saved as part of the visible-light image. Later, if an adjustment in the registration between the infrared and visible-light image is needed, either in the camera or on a computer, the full visible-light image is available.
The camera allows the operator to adjust the registration of the visible-light and infrared image after an infrared/Visible-light image pair is captured and stored in memory. One way to accomplish this is to use the infrared lens position as an input control. This allows the operator to fine-tune the registration, or to manually register objects in the scene that were not at the infrared focus distance when the images were captured, simply by rotating the focus ring on the lens.
The visible-light image, when it is the only displayed image, is displayed preferably in color, although it need not be. When it is blended with the infrared image, the visible-light image is converted to gray scale before it is blended so that it only adds intensity to the colored infrared image.
The camera uses the same technique in this mode as that described for the full screen mode to correct for parallax.
Alternatively, instead of matching the visible-light image to the infrared image just the opposite may be done.
The camera uses similar techniques to those described for
Like the previously described mode, parallax is corrected by moving the infrared image scene to align it with the visible-light image scene.
Alpha-Blending
Alpha-blending is a process of ratioing the transparency/opaqueness of two images superimposed on one pixel. If the Alpha=maximum, then the first image is opaque and the second is transparent and is so written to the display. If Alpha=0, then the first image is transparent and the second image is opaque and is so written to the display. Values in-between cause ‘blending’ (alpha blending) between the two sources, with the formula Display=Source 1*(Alpha/max_Alpha)+Source 2*((max_Alpha-Alpha)/max_Alpha).
The camera will enable the operator to adjust the alpha blending of the visible and infrared images from the extremes of infrared-only (
The infrared and visible-light images can be displayed in either color or grayscale. When color is used to portray temperatures in the infrared image, the visible image in the overlap area can be displayed in grayscale only so that it doesn't excessively corrupt the infrared palette colors.
When an image is saved, both the visible and infrared images are saved individually so reconstructing images with different alpha blending can be accomplished later either in the camera, or with PC software.
Alarm Modes
The camera supports several different visual alarm modes. These modes are used to call the operator's attention to areas of interest in the visible-light image by displaying an alpha-blended or infrared only image in areas that meet the alarm criteria as set by the user.
The alarm modes identified above may also be indicated audibly or via vibration. Such audible or vibrational alarms may be useful in situations where hotspots are small enough to otherwise go unnoticed in the visual display. In embodiments that include audible or vibration alarms, the camera can generate such an alarm to alert the camera operator when, for instance, the camera detects an out of specification temperature or any of the other alarms modes identified above. Referring back to
Audible alarms may also be used to identify different camera operating conditions. For instance, specific pitches may be used to indicate the battery charge level, when the camera is initially powered-on, powered down, entering sleep-mode, or recovering from sleep-mode. The pitches for such operating conditions may be stored in camera memory.
An audible alarm may also be used to indicate the quality of the focus setting. For instance, the camera may include a known autofocus mechanism. The autofocus mechanism may include a known autofocus algorithm that analyzes the sharpness of image edges and the contrast of an edge. It is known that the output of this algorithm supplies a control signal to the autofocus system. This same output could be used to drive the pitch of the audible alarm to indicate when the camera is in or out of focus.
Audible alarms with varying outputs may also be used in different embodiments. The variation in output may include variable pitch or notes, a variable frequency of a single pitch or pulse, similar to a Geiger counter, or other known variable audio outputs. The variation in output can indicate to the user the relative level of the alarm. For instance, in some embodiments, higher pitches may indicate that the camera has sensed hotter temperatures. Lower pitches (or pulse frequencies, in other embodiments) may indicate that the camera has sensed cooler temperatures. Moreover, the camera may increase the pitch of the output emitted as the sensed temperature increases. That is, if the current hottest pixel in the scene exceeds the absolute threshold or the range in the absolute range, the camera would emit an alarm tone. The amount by which the hottest pixel exceeds the absolute threshold or the range in the absolute range would dictate the pitch of the alarm tone emitted. The more the hottest pixel exceeds the threshold or upper range amount, the higher the pitch. Similarly, as the temperature of the current hottest pixel increases, the camera would in turn increase the pitch of the alarm tone emitted. The camera may operate similarly for low temperatures. If the current coldest pixel in the scene falls below the absolute threshold or the range in the absolute range, the camera would emit an alarm tone. The amount by which the hottest pixel falls below the absolute threshold or the range in the absolute range would dictate the pitch of the alarm tone emitted. The more the hottest pixel falls below the threshold or lower range amount, the lower the pitch. Similarly, as the temperature of the current hottest pixel decreases, the camera would in turn decrease the pitch of the alarm tone emitted. The same type of alarm system may be provided by variation of alarm pulse frequencies. The pitch or frequency connotes certain information to the user in either embodiment, such information may signify an important alert or merely certain operational data as described above.
PC Software
All of the image display techniques described for the camera can also be implemented in software that runs on a PC host computer and can be applied to images captured by the camera.
The advantages have already been stated above. The infrared image will not only be sharper with much more detail, it will be surrounded with a visual image showing exactly what and where the infrared targets are. Parallax error will be automatically corrected, yielding a visible-light control image that is correctly registered with the infrared image. Infrared cameras can be made with smaller less expensive detector arrays, yet display the apparent detail and contrast of very expensive infrared cameras with large and ultra-sensitive detector arrays.
Uses
This camera can be used in all phases of infrared thermography where current infrared cameras are used today and in the future. In the case of the simplest uses such as an electricians tool, the camera can be made inexpensively with a small infrared detector array and yet have very high performance—high image quality with high spatial resolution and accurate temperature. In the case of high-end thermography the camera can be made at a lower cost and have images with greater apparent detail than the most expensive infrared cameras. The camera will eliminate the need to take separate visible-light images to be included in thermography reports.
Laser Pointer
Various applications are possible using the laser embodiments of the present invention. As previously mentioned, because the laser pointer radiation is in the visible spectrum, it is not visible in the infrared image. As a result, the laser pointer is of limited value in infrared cameras. This is problematic when the location of a hot or cold spot is difficult to identify. For example, large industrial control panels often have many components that are similar in shape and packed tightly together. It is sometimes difficult to determine the exact component that is causing a hot spot in the infrared camera image. In addition, in building inspection applications where a wall appears uniform in the visible image but shows a defect in the infrared image, the laser pointer of the embodiments of the invention can be used to identify the exact location of the defect on the wall. For roof leak detection applications, it can greatly aid the thermographer in marking the area suspected of needing repair. The camera operator can outline the wet area by adjusting the camera pointing so that the laser spot seen in the image outlines the suspected wet area in the image and thus also outlines the suspected wet area on the roof with the laser beam so that it can be correctly marked. In an R&D application where the target is complex such as a printed wiring board assembly, the laser pointer embodiments of the invention may aid in identifying the location of the infrared point of interest.
The laser pointer of the embodiments of the invention is used to accurately identify the location of infrared points-of-interest and to easily aid the focusing of the infrared optics.
Because the camera according to the embodiments of the invention has been calibrated in the factory to identify the location of the laser spot in the infrared image using parallax calibration data as a function of infrared camera module focus distance, the camera operator does not need to see displayed the laser spot in the VL image. If the target is at a distance and/or has a low reflection for the laser wavelength, the laser spot may be too weak for the VL camera to show prominently on the camera display but it can still be seen on the target by the human observer.
Alternatively, the camera operator first focuses the infrared image using an infrared display image only, switches to the visible-light display where the laser 210 will be shown in the display as seen in
Using the Laser Pointer to Focus the Infrared Image
With calibration data correcting for parallax between the laser pointer and the infrared image and the ability to see the actual laser spot in the VL image, a process for monitoring and aiding the infrared focus is possible.
The present application is a continuation of co-pending U.S. patent. Ser. No. 12/176,853, filed Jul. 21, 2008, which is a continuation-in-part of U.S. patent application Ser. No. 11/294,752, filed Dec. 5, 2005, now issued as U.S. Pat. No. 7,538,326, which in turn claims priority to U.S. Provisional Patent Application No. 60/633,078, filed Dec. 3, 2004, the disclosures of which are herein incorporated by reference in their entirety.
Number | Name | Date | Kind |
---|---|---|---|
3651694 | Lamb | Mar 1972 | A |
4272176 | Maitani | Jun 1981 | A |
4448528 | McManus | May 1984 | A |
4488118 | Jeffers | Dec 1984 | A |
4608599 | Kaneko et al. | Aug 1986 | A |
4633235 | DeGennaro | Dec 1986 | A |
4679068 | Lillquist et al. | Jul 1987 | A |
4751571 | Lillquist et al. | Jun 1988 | A |
4967276 | Murakami et al. | Oct 1990 | A |
5005083 | Grage et al. | Apr 1991 | A |
5140416 | Tinkler | Aug 1992 | A |
5173726 | Burnham | Dec 1992 | A |
5264833 | Jeffers | Nov 1993 | A |
5381205 | Kotani | Jan 1995 | A |
5488674 | Burt et al. | Jan 1996 | A |
5534696 | Johansson et al. | Jul 1996 | A |
5592151 | Rolih | Jan 1997 | A |
5689241 | Clarke, Sr. | Nov 1997 | A |
5781336 | Coon et al. | Jul 1998 | A |
5808350 | Jack et al. | Sep 1998 | A |
5832325 | Ito et al. | Nov 1998 | A |
5910816 | Fontenot et al. | Jun 1999 | A |
5944653 | Bonnell et al. | Aug 1999 | A |
5974272 | Kiesow et al. | Oct 1999 | A |
6009340 | Hsia | Dec 1999 | A |
6020994 | Cook | Feb 2000 | A |
6031233 | Levin et al. | Feb 2000 | A |
6208459 | Coon et al. | Mar 2001 | B1 |
6222187 | Shivanandan | Apr 2001 | B1 |
6232602 | Kerr | May 2001 | B1 |
6297504 | Andreou | Oct 2001 | B1 |
6335526 | Horn | Jan 2002 | B1 |
6370260 | Pavlidis et al. | Apr 2002 | B1 |
6373055 | Kerr | Apr 2002 | B1 |
6417797 | Cousins et al. | Jul 2002 | B1 |
6444983 | McManus | Sep 2002 | B1 |
6449005 | Faris | Sep 2002 | B1 |
6560029 | Dobbie et al. | May 2003 | B1 |
6570156 | Tsuneta et al. | May 2003 | B1 |
6762884 | Beystrum et al. | Jul 2004 | B2 |
6781127 | Wolff et al. | Aug 2004 | B1 |
6798578 | Beystrum et al. | Sep 2004 | B1 |
6806469 | Kerr | Oct 2004 | B2 |
6849849 | Warner et al. | Feb 2005 | B1 |
7034300 | Hamrelius | Apr 2006 | B2 |
7274830 | Bacarella et al. | Sep 2007 | B2 |
7535002 | Johnson et al. | May 2009 | B2 |
7538326 | Johnson et al. | May 2009 | B2 |
7544944 | Strandemar et al. | Jun 2009 | B2 |
7667198 | Standemar | Feb 2010 | B2 |
7809258 | Standemar et al. | Oct 2010 | B2 |
7826736 | Standemar et al. | Nov 2010 | B2 |
7924312 | Packard | Apr 2011 | B2 |
7994480 | Johnson et al. | Aug 2011 | B2 |
20020030163 | Zhang | Mar 2002 | A1 |
20020041329 | Steinberg | Apr 2002 | A1 |
20020084675 | Buchanan, Jr. | Jul 2002 | A1 |
20030058112 | Gleine | Mar 2003 | A1 |
20030133132 | Kiermeier | Jul 2003 | A1 |
20040001184 | Gibbons et al. | Jan 2004 | A1 |
20040021773 | Hayakawa | Feb 2004 | A1 |
20040071367 | Irani et al. | Apr 2004 | A1 |
20040129881 | Hamrelius | Jul 2004 | A1 |
20040169617 | Yelton et al. | Sep 2004 | A1 |
20040225222 | Zeng et al. | Nov 2004 | A1 |
20040264542 | Kienitz | Dec 2004 | A1 |
20050111698 | Kawai | May 2005 | A1 |
20060115120 | Taniguchi | Jun 2006 | A1 |
20060208169 | Breed et al. | Sep 2006 | A1 |
20060289772 | Johnson et al. | Dec 2006 | A1 |
20070188321 | Stenlund | Aug 2007 | A1 |
20070235634 | Ottney et al. | Oct 2007 | A1 |
20090008558 | Strandemar | Jan 2009 | A1 |
20090010633 | Strandemar | Jan 2009 | A1 |
20090010635 | Strandemar | Jan 2009 | A1 |
20090250611 | Strandemar | Oct 2009 | A1 |
20090302219 | Johnson et al. | Dec 2009 | A1 |
20100045809 | Packard | Feb 2010 | A1 |
Number | Date | Country |
---|---|---|
0343634 | Nov 1989 | EP |
1339228 | Aug 2003 | EP |
2389989 | Dec 2003 | GB |
10293368 | Nov 1998 | JP |
11112851 | Apr 1999 | JP |
11285025 | Oct 1999 | JP |
2002281491 | Sep 2002 | JP |
2004072189 | Mar 2004 | JP |
2005173879 | Jun 2005 | JP |
0196824 | Dec 2001 | WO |
Entry |
---|
Hui Henry Li et al: Automatic Visual/IR Image Registration, Optical Engineering, Soc. of Photo-Optical InstrumentationEngineers, Bellingham, vol. 35, No. 2, Feb. 1, 1996, pp. 391-400, XP000631450, ISSN: 0091-3286. |
Brochure, Insight 80 Series, Loki Data Products, Inc., Greensboro, NC. |
Press Release, Agema Presents Superviewer II, Oct. 10, 1986. |
ThermoVision(R) Superviewer II, Operating Instructions, Oct. 1990. |
Brochure, VideoTherm 96, Portable Infrared Imaging System with Integrated Visible Camera. |
Brochure, VideoTherm 300 Series, ISI Group, Inc., Albuquerque, NM, 1994. |
Manual, VideoTherm 300 Series, ISI Group, Inc., Albuquerque, NM, Jun. 1993. |
Manual, Agema 480, Agema Infrared Systems, AB, 1992. |
Brochure, Insight STARsight Thermal Imaging System, Insight Vision Systems, Kensington, MD, Aug. 23, 1991. |
Brochure, Avio, TVS-5000 Series, Nippon Avionics Co. Ltd., Minato-ku, Tokyo, Japan. |
Brochure, Hughes Probeye 4000—3000, Hughes Aircraft Company, Carlsbad, California. |
Brochure, Inframetrics, Model 600L IR Imaging Radiometer, Inframetrics The Infrared Specialists, Bedford, MA, Brochure No. 600L-S04622-5M-0488-AKI/CP. |
Brochure, Inframetrics, ThermaGRAM, Thermal Image Processing System, Inframetrics, Billerica, MA, Nov. 1991. |
US Statutory Invention Registration No. H1599 (Task et al.), Published Oct. 1, 1996. |
U.S. Appl. No. 11/294,752, Office Action dated Oct. 18, 2006, 11 pages. |
U.S. Appl. No. 11/294,752, Office Action dated Apr. 18, 2007, 8 pages. |
U.S. Appl. No. 11/294,752, Office Action dated Jan. 9, 2008, 6 pages. |
U.S. Appl. No. 11/294,752, Notice of Allowance dated Sep. 12, 2008, 7 pages. |
U.S. Appl. No. 11/625,140, Office Action dated Jan. 3, 2008, 7 pages. |
U.S. Appl. No. 11/625,140, Notice of Allowance dated Jan. 3, 2008, 6 pages. |
PCT/US2005/043825, International Search Report and Written Opinion, dated Dec. 15, 2006, 11 pages. |
PCT/US2005/043825, International Preliminary Examination Report and Written Opinion, dated Dec. 15, 2006, 8 pages. |
EP Application No. 072501968, European Search Report and Opinion dated Mar. 26, 2007, 4 pages. |
U.S. Appl. No. 11/294,752, filed Dec. 5, 2005, Notice of Allowance, 9 pages. |
U.S. Appl. No. 11/625,140, filed Jan. 19, 2007, Notice of Allowance, 6 pages. |
Brochure/Advertisement, Hioki E. E. Corporation, Instantaneous Imaging of 64-Point Temperature Distributions, 3460 2D Thermo HiTESTER, Environmental Measuring Instruments, Feb. 10, 2003 (3460E3-32M-03P—Printed in Japan). |
Number | Date | Country | |
---|---|---|---|
20130321641 A1 | Dec 2013 | US |
Number | Date | Country | |
---|---|---|---|
60633078 | Dec 2004 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12176853 | Jul 2008 | US |
Child | 13963802 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 11294752 | Dec 2005 | US |
Child | 12176853 | US |