The present invention relates to configure indicia reading devices, and more particularly to an indicia reader configured by using a user's application.
Indicia reading devices (also referred to as scanners, laser scanners, image readers, indicia readers, etc.) typically read data represented by printed or displayed information bearing indicia (IBI), (also referred to as symbols, symbology, bar codes, etc.) For instance one type of a symbol is an array of rectangular bars and spaces that are arranged in a specific way to represent elements of data in machine readable form. Indicia reading devices typically transmit light onto a symbol and receive light scattered and/or reflected back from a bar code symbol or indicia. The received light is interpreted by a processor which performs signal and/or image processing to extract the data represented by the symbol. Optical indicia reading devices typically utilize visible or infrared light. Laser indicia reading devices typically utilize transmitted laser light.
One-dimensional (1D) indicia readers are characterized by reading data that is encoded along a single axis, in the widths of bars and spaces, so that such symbols may be read from a single scan along that axis, provided that the symbol is sampled with a sufficiently high resolution along that axis.
In order to allow the encoding of larger amounts of data in a single bar code symbol, a number of 1D stacked bar code symbologies have been developed which partition encoded data into multiple rows, each including a respective 1D bar code pattern, some or all of which must be scanned and decoded, then linked together to form a complete message. Scanning still requires relatively higher resolution in one dimension only, but multiple linear scans at different locations on a second dimension are needed to read the whole symbol.
A class of bar code symbologies known as two dimensional (2D) matrix symbologies have been developed which require image based reading and offer greater data densities and capacities than 1D symbologies. 2D matrix codes encode data as dark or light data elements within a regular polygonal matrix, accompanied by graphical finder, orientation and reference structures.
Often times an indicia reader may be portable and wireless in nature thereby providing added flexibility. In these circumstances, such readers form part of a wireless network in which data collected within the terminals is communicated to a host computer situated on a hardwired backbone via a wireless link. For example, the readers may include a radio or transceiver for communicating with a remote computer.
Efforts regarding such systems have led to continuing developments to improve their versatility, practicality and efficiency.
Reference will now be made to exemplary embodiments which are illustrated in the accompanying drawings. Other embodiments may be in various forms and the exemplary embodiments should not be construed as limited to the embodiments set forth herein. Rather, these representative embodiments are described in detail so that this disclosure will be thorough and complete, and will fully convey the scope, structure, operation, functionality, and potential applicability to those skilled in the art. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts. The term “scan” or “scanning” used herein refers to reading or extracting data from an information bearing indicia (or symbol). The term imaging used herein refers to the taking or creation of an electronic image.
Exemplary methods may be conceived to be a sequence of steps or actions leading to a desired result and may be implemented as software. While it may prove convenient to discuss such software as if were embodied by a single program, most implementations will distribute the described functions among discrete (and some not so discrete) pieces of software. These pieces are often described using such terms of art as “programs.” “objects.” “functions.” “subroutines,” “libraries,” “.dlls.” “APIs.” and “procedures.” While one or more of these terms may find favor in the present description, there is no intention to limit the invention to the described configurations.
In general, the sequences of steps in the present methods require physical manipulation of physical quantities. These quantities take the form of optical, electrical or magnetic signals capable of being stored, transferred, combined, compared or otherwise manipulated. Those of ordinary skill in the art conveniently refer to these signals as “bits”, “values”, “elements”, “symbols”, “characters”, “images”, “terms”, “numbers”, or the like. It should be recognized that these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities.
With respect to the software described herein, those of ordinary skill in the art will recognize that there exist a variety of platforms and languages for creating software for performing the methods outlined herein. Those of ordinary skill in the art also recognize that the choice of the exact platform and language is often dictated by the specifics of the actual system constructed, such that what may work for one type of system may not be efficient on another system. It should also be understood that the methods described herein are not limited to being executed as software on a computer or DSP (Digital Signal Processor), but may also be implemented in a hardware processor. For example, the methods may be implemented with HDL (Hardware Design Language) in an ASIC.
An operator may aim a hand-held indicia reader 112 at a target containing an IBI, dataform, text, or other data to be collected and actuate a button or trigger 115 on the indicia reader to control full or partial operation of the reader, such as to activate scanning of an IBI. An IBI or dataform may be an originally machine generated symbology that is also machine readable, such as a 1-D barcode, a 2-D barcode, a 1-D stacked barcode, a logo, glyphs, color-codes, and the like.
An exemplary indicia reader 112 may be a mobile device, such as a hand held scanner, a portable data terminal (PDT), personal digital assistant (PDA), mobile phone, etc. A Portable Data Terminal, or PDT, is typically an electronic device that is used to enter or retrieve data via wireless transmission (WLAN or WWAN) and may also serve as an indicia reader used in stores, warehouse, hospital, or in the field to access a database from a remote location. Personal Digital Assistants (PDAs) are handheld devices typically used as a personal organizer, and may have many uses such as calculating, use as a clock and calendar, playing computer games, accessing the Internet, sending and receiving E-mails, use as a radio or stereo, video recording, recording notes, use as an address book, and use as a spreadsheet. An exemplary indicia reader may have a display 116. An exemplary indicia reader 112 may have a number of subsystems provided within a housing 117 configured to be hand held. For example, the reader may have a handle portion 111.
Exemplary indicia readers may be in communication (wired or wireless) to a local transaction processing system 140, such as a cash register, customer station or employee station or local host/server 122 directly or through a charging station or base 138. An exemplary local server 122 or indicia reader 112 may be in communication with network 120 and or a remote/web server 134.
Referring to
Laser light may be described as a spatially coherent, narrow low-divergence beam of light.
Digitizer 408 may convert an analog signal output by the photodiode into a digital signal representative of the light reflected off of the targets.
Exemplary laser scanners use a laser beam as the light source and employ either a reciprocating mirror or a rotating prism to scan the laser beam back and forth across the IBI. One or more photodiodes are used to measure the intensity of the light reflected back from the bar code. The light emitted by the reader is rapidly varied in brightness with a data pattern and the photodiode receive circuit is designed to detect only signals with the same modulated pattern.
An exemplary photodetector or photosensor may be comprised of one or more photodiodes that converts incident light energy into electric charge that is an output signal representative of light reflected off an IBI. The output of the photodetector may be processed utilizing one or more functions or algorithms to condition the signal appropriately for use in further processing downstream, including decoding of IBIs.
An exemplary indicia reader 112 may comprise one or more optical image engines (image indicia reader systems or optical scan engines) 610 for reading indicia on a target T. Optical image engines capture and read images to detect and decode IBIs located within the captured images. The optical image indicia reader systems may comprise one or more illumination source(s) 618 for illuminating an IBI with a beam or pattern of incoherent light in the form of an illumination pattern and an image sensor 626 for converting light reflected off a target T having an IBI provided thereon into representative output signals thereof. The output signal of the image sensor may be processed utilizing one or more functions or algorithms to condition the signal appropriately for use in further processing downstream, including decoding of IBIs.
An exemplary image sensor converts light or other electromagnetic energy reflected off of a target and provides an output signal representative thereof. Image sensors may be an array of pixels adapted to operate in a global shutter or full frame shutter, mode or alternately operate in a rolling shutter mode. It may be a color, monochrome or monocolor 2D solid state image sensor implemented in any of CCD, CMOS, NMOS, PMOS, CID, CMD, back-illuminated technologies. The imager may be able to operate in either a progressive scan or interleaved scan mode. The image sensor may contain an array of light sensitive photodiodes (or pixels) that convert incident light energy into electric charge. Many solid state image sensors also allow regions of a full frame of image data to be addressed.
Other exemplary reader subsystems or components supported by the housing may include one or more local or on board processor(s) 170, local memory 172, a battery 218, a display 116, a key pad 214 and a wireless communications module 180. The subsystems may communicate via one or more bus 168, data lines or other signal or data communication form. The indicia reader may communicate with one or more host processor(s) 118, a local host/server 122, local memory 166, network 120 or remote server host/server 134.
Communications module 180 may provide a communication link from imaging reader 112 to other indicia readers or to other systems such as a server/remote processor 134.
The processor(s) may be located on board or within the housing with other subsystems. The particulars of the functionality of the processor(s) and the reader may be determined by or based upon certain configuration settings or data which may be stored in firmware, remote or local memory. Configuration settings may be arranged as stored parameter tables.
An exemplary processor may be a mixed-signal array with on-chip controller devices designed to replace multiple traditional MCU-based system components with one single-chip programmable device. It may include configurable blocks of analog and digital logic, as well as programmable interconnects.
The subsystems in the reader may be connected by one or more bus 168, data lines or other signal or data communication form. Exemplary forms may be an Inter-IC bus such as a two wire interface (TWI), dedicated data bus, RS232 interface, USB, etc.
The processor(s) may include a predetermined amount of memory for storing firmware and data. The firmware may be a software program or set of instructions embedded in or programmed on the processor(s) which provides the necessary instructions for how the processor(s) operate and communicate with other hardware. The firmware may be stored in the flash memory (ROM) of the processor(s) as a binary image file and may be erased and rewritten. The firmware may be considered “semi-permanent” since it remains the same unless it is updated. This firmware update or load may be handled by a device driver.
The processor(s) may be utilized to perform a number of functional operations, which may involve the performance of a number of related steps, the particulars of which may be determined by or based upon certain configuration settings stored in firmware or memory which may be any one of a number of memory types such as RAM, ROM, EEPROM, etc. In addition some memory functions may be stored in memory provided as part of the processor(s).
Exemplary functions of the processor(s) may be controlling operation the scan engine, decoding functions and operator interface functions. Operating software may be utilized to operate the processor(s) for such functions seemingly simultaneously or in a multitasking role. An exemplary image reader operating software architecture may be organized into processes or threads of execution.
Processor(s), memory and associated circuitry which perform or control the exemplary scan and decoding functions may be provided in the scan engine or on associated circuit boards which are located within the housing of the reader. Decoding is a term used to describe the interpretation of a machine readable code contained in the photodetector output signal.
An exemplary function of the processor(s) may be to decode machine readable symbology provided within the target or captured image. One dimensional symbologies may include very large to ultra-small, Code 128, Interleaved 2 of 5, Codabar, Code 93, Code 11, Code 39, UPC, EAN, MSI, or other 1D symbologies. Stacked 1D symbologies may include PDF, Code 16K, Code 49, or other stacked 1D symbologies. 2D symbologies may include Aztec, Datamatrix, Maxicode, QR-code, or other 2D symbologies.
Operation of the decoding, which may be executed in a user or factory selectable relationship to a scanning routine, may be governed by parameters or configuration settings. Combinations of scanning and decoding parameters together define scanning-decoding relationships or modes which the reader will use. Two exemplary modes may be continuous or discontinuous. In the continuous mode (also referred to as continuous scanning mode, continuous streaming mode, streaming mode, fly-by scanning mode, on the fly scanning mode or presentation mode) the reader is held in a stationary manner and targets (such as symbols located on packages) are passed by the reader. In the continuous mode, the reader takes continuous scans one after another (seriatim) and continuously decodes or attempts to decode some or all scanned targets. Discontinuous mode is a mode wherein scanning and/or decoding stops or is interrupted and initiated with an actuation event, such as pulling of a single pull trigger 115, a timeout, or a successful read to restart. An exemplary utilization of the reader in discontinuous mode is via hand held operation. Decoding stops once the indicia reader is no longer triggered. The discontinuous mode is typically initiated because the operator knows a symbol is present.
Exemplary indicia readers may use memory or firmware to store certain reader settings or reader configuration settings. Exemplary configuration settings may be selection of scanning distance, trigger functionality, pre-defined bar code output data based on the scan input, continuous scanning mode, discontinuous scanning mode or routine, decoding mode or routine, I/O configurations, symbology enablement, output interface functionality, min/max symbology character lengths, scan engine selection, illumination functionality, settings that affect the functional operation of the processor(s), which codes are enabled for processing, aimer operation, engine orientation, illumination, photosensor functionality, software control, sales tracking or warranty tracking, reader capabilities, etc.
Readers and a host system may be equipped with the ability to automatically query and communicate data, such as configuration settings or firmware amongst each other. Upgrading firmware from host to reader and duplicating configuration settings may be performed without human intervention to ensure readers are operating at the same revision and have the same configuration settings reduces user frustration, down time, data integrity and increase efficiencies.
At predetermined time intervals a host system may broadcast various information, such as firmware revision, configuration settings, etc. The host may then download the newer files and update readers during a time of inactivity. Readers may use on board memory or firmware flash memory to store certain configuration settings.
Readers may be configured via serial connection using serial commands. A GUI interface may be utilized for creating or reading serial commands, such as Visual Menu or similar such product. This may be done locally or remotely by connecting the optical reader either directly or through a network (such as the internet) to a remote computer and having the remote computer provide software upgrades.
Software upgrades may be necessary for migration from one reader to new or other readers, possibly different manufacturers. Upgrading may be simplified if the configuration of the reader being replaced is matched or matches the configuration of the equipment that it is replacing.
If reader software is replaced, the reader may have the ability to automatically read out configuration settings information in memory and allow the software to adapt and use different methods of control, or different methods of decoding, etc.
An exemplary embodiment for upgrading may be to provide a PC based software tool to read out the non-default configuration settings from a target reader device (the one being replaced) through a serial communication and then to flash the same or equivalent settings into the replacement equipment. This may be considered a direct configuration mapping method, that is, reading the configuration settings on a (old) Device A and flashing them into a (new) Device B.
Another exemplary embodiment may be to provide a PC based software tool that analyzes output scanned data of a known information bearing indicia from a target reader (the one being replaced) and compares it with the output scanned data from the replacement reader. The software tool may interpret how the existing device is configured based on the difference between the two sets of scanned data. After interpolation of the configuration settings of the replacement reader, the software tool would configure the replacement reader to match the old or replacement reader. This may be considered indirect mapping, wherein the software tool interpolates the inner settings of an existing device from its operation, rather than by direct read out from memory or firmware.
Either exemplary embodiment may be integrated with a cross-browser, client-side DHTML menu builder such as Visual Menu. The configuration of a reader may be read out once and then propagated many times using wireless or over-the-net configuration utilities, hard copy or video display menuing or other suitable means.
A user may update or replace one or more stored configuration settings or configuration setting data utilizing a remote updating system which may be done by connecting the reader either directly or through a network (such as the internet) to a remote processor. With appropriate software, the remote processor may be programmed to read certain configuration settings from the reader, such as software configuration. The remote processor may read the configuration setting data and utilize that data when downloading updates or new software. An operator may request from the remote processor for a software update. The request would be received by either computer, which could read the current software configuration resident on the optical reader and determine the appropriate update or replacement software.
Certain bar code symbology types have special data codewords or characteristics which identify them as to be used for configuration. Bar codes which are created utilizing these codewords or characteristics are commonly referred to as configuration bar codes, menuing bar codes, or menuing information bearing indicia (IBI). Typically, a scanning device will come with a manual which has configuration bar codes inside which are used to specifically configure that device. The data contained in the configuration bar code is used to identify which setting to address, and what value to load for that setting. In some cases if the setting has a range of acceptable values which is very large, several configuration bar codes, one which addresses the setting and one or more others which define the value, are scanned in succession to configure the setting.
In an exemplary embodiment, an indicia reader may be configured by reading IBIs from a user's application (i.e. not menuing bar codes) to configure the reader for setup in their application.
Referring to
In a step 314, the user scans bar codes that will be part of their application. These are the symbologies that the user will want to scan when the reader is operational in the user's application.
The codes scanned in the set up mode are not menuing bar codes, but the actual data bar codes the user wishes to be able to scan in their application while the scanner is in a usage or operational mode. These data bar codes can be referred to as user usage bar codes or user usage information bearing indicia (IBI). A set of configuration settings are being created based on the user usage bar codes being scanned during step 314 and may include all information which can be extracted from the scanning and decoding of the user usage bar code, such as symbology types, lengths, size, or other potentially useful data.
Once the user has scanned all of the user usage bar codes which represent the bar code characteristics that will be seen in the usage application, the user would scan a menu bar code, or communicate to the reader via the interface in a step 318 to have the reader come out of the “set up” mode and into the use or operating mode. At this time, the reader may take the configurations that were created based on the bar codes scanned and store them in the reader memory. The data collected during the set up mode may be used to restrict the lengths of bar codes decoded (making sure only the length ranges of a given symbology which were seen in the “set up” mode are allowed to read), tune the aggressiveness of our decoding based on the size/resolution of the bar codes, enable the reader to read only those symbologies scanned, etc. In an exemplary embodiment, the number of enabled symbologies in the scanning device is less than or equal in the operational mode than the set up mode. i.e. X<=N where N is the number of symbologies enabled in setup mode and X is the number of symbologies enabled after coming out of the setup mode.
Another method for putting the device in a Setup Mode could be based on an amount of time. If a device is triggered, or enabled to scan for bar code data, and an amount of time elapses while the device is scanning when no bar code is read, the device automatically could go into the setup mode shown in 310 of
Once the device exits step 318, the device has been configured per the bar codes or IBIs scanned during step 314. The device then can be used in the user's application, which is shown in step 322, to scan user usage bar codes which the device has been configured to do.
This exemplary procedure requires no user understanding of bar code symbologies, or any characteristics which go along with them.
During the time when the device is in the setup mode, the device could be configured so that the data scanned from the bar codes is not output via the interface.
Additional configuration settings that may be input to compliment the set up scanned symbologies may be instructions to effectuate check characters, append modes and other decoding peripherals.
A method of configuring indicia readers is described in commonly owned U.S. Pat. No. 7,077,321 entitled PORTABLE AUTODISCRIMINATING OPTICAL READER, the entirety of which is hereby incorporated herein by reference.
Described herein is an exemplary method of operating an indicia reader adapted to read information bearing indicia (IBI) comprising: putting the indicia reader in a set up mode to enable the indicia reader to read N types of user usage IBIs; reading at least one user usage IBI with the indicia reader that is one of the N types of IBI the indicia reader is enabled to read; configuring the indicia reader in accordance with the at least one IBI read while the indicia reader is in the set up mode; putting the indicia reader into a use mode and reading user usage IBI's of the type read while the indicia was in the set up mode.
In an exemplary embodiment an indicia reader is adapted for scanning and decoding image data encoded in one of a plurality of types of information bearing indicia and comprises: a scanning engine for scanning and storing IBI data; a memory for storing: a decoding program to produce decoded IBI data; a parameter table for storing configuration settings which specify operating modes of the indicia reader; and, a processor for: executing a set up program in response to a set up command to allow a user to set configuration settings by presenting at least one user usage IBI to the indicia reader, and executing a usage program for controlling the scanning engine and executing the decoding program.
It should be understood that the programs, processes, methods and apparatus described herein are not related or limited to any particular type of computer or network apparatus (hardware or software). Various types of general purpose or specialized computer apparatus may be used with or perform operations in accordance with the teachings described herein. While various elements of the preferred embodiments have been described as being implemented in software, in other embodiments hardware or firmware implementations may alternatively be used, and vice-versa. The illustrated embodiments are exemplary only, and should not be taken as limiting the scope of the present invention. For example, the steps of the flow diagrams may be taken in sequences other than those described, and more, fewer or other elements may be used in the block diagrams. Also, unless applicants have expressly disavowed any subject matter within this application, no particular embodiment or subject matter is considered to be disavowed herein.
This application is a continuation of U.S. patent application Ser. No. 12/942,197 filed Nov. 9, 2010 entitled, “Using A User's Application to Configure User Scanner.” The above application is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4091270 | Musch et al. | May 1978 | A |
4358761 | Iwasaki | Nov 1982 | A |
4654514 | Watson et al. | Mar 1987 | A |
4667087 | Quintana | May 1987 | A |
4721849 | Davis et al. | Jan 1988 | A |
4761544 | Poland | Aug 1988 | A |
4774715 | Messenger | Sep 1988 | A |
4825058 | Poland | Apr 1989 | A |
4841132 | Kajitani et al. | Jun 1989 | A |
4864302 | Bowers | Sep 1989 | A |
4868375 | Blanford | Sep 1989 | A |
4868376 | Lessin et al. | Sep 1989 | A |
4945216 | Tanabe et al. | Jul 1990 | A |
4964167 | Kunizawa et al. | Oct 1990 | A |
5046066 | Messenger et al. | Sep 1991 | A |
5101406 | Messenger et al. | Mar 1992 | A |
5120943 | Benz | Jun 1992 | A |
5166499 | Holland et al. | Nov 1992 | A |
5185514 | Wike, Jr. et al. | Feb 1993 | A |
5206881 | Messenger et al. | Apr 1993 | A |
5208449 | Eastman et al. | May 1993 | A |
5256865 | Wike, Jr. et al. | Oct 1993 | A |
5317136 | Hasegawa et al. | May 1994 | A |
5347113 | Reddersen et al. | Sep 1994 | A |
5389917 | LaManna et al. | Feb 1995 | A |
5450491 | McNair | Sep 1995 | A |
5478997 | Bridgelall et al. | Dec 1995 | A |
5488223 | Austin et al. | Jan 1996 | A |
5510606 | Worthington et al. | Apr 1996 | A |
5532692 | Tatsuya et al. | Jul 1996 | A |
5557095 | Clark et al. | Sep 1996 | A |
5579487 | Meyerson et al. | Nov 1996 | A |
5594493 | Nemirofsky | Jan 1997 | A |
5602377 | Beller et al. | Feb 1997 | A |
5608202 | Bridgelall et al. | Mar 1997 | A |
5610595 | Garrabrant et al. | Mar 1997 | A |
5640684 | Konosu et al. | Jun 1997 | A |
5644601 | Kawaguchi | Jul 1997 | A |
5646389 | Bravman et al. | Jul 1997 | A |
5668803 | Tymes et al. | Sep 1997 | A |
5744788 | Metlitsky et al. | Apr 1998 | A |
5748904 | Huang et al. | May 1998 | A |
5754587 | Kawaguchi | May 1998 | A |
5764774 | Liu | Jun 1998 | A |
5777315 | Wilz et al. | Jul 1998 | A |
5789732 | McMahon et al. | Aug 1998 | A |
5793903 | Lopresti et al. | Aug 1998 | A |
5794145 | Milam | Aug 1998 | A |
5802179 | Yamamoto | Sep 1998 | A |
5804802 | Card et al. | Sep 1998 | A |
5805779 | Christopher et al. | Sep 1998 | A |
5815811 | Pinard et al. | Sep 1998 | A |
5818032 | Sun et al. | Oct 1998 | A |
5837986 | Barile et al. | Nov 1998 | A |
5838720 | Morelli | Nov 1998 | A |
5848064 | Cowan | Dec 1998 | A |
5859970 | Pleso | Jan 1999 | A |
5869819 | Knowles et al. | Feb 1999 | A |
5900613 | Koziol et al. | May 1999 | A |
5905251 | Knowles | May 1999 | A |
5912921 | Warren et al. | Jun 1999 | A |
5924040 | Trompower | Jul 1999 | A |
5929418 | Ehrhart et al. | Jul 1999 | A |
5930393 | Ho et al. | Jul 1999 | A |
5938726 | Reber et al. | Aug 1999 | A |
5939699 | Perttunen et al. | Aug 1999 | A |
5940595 | Reber et al. | Aug 1999 | A |
5945660 | Nakasuji et al. | Aug 1999 | A |
5946344 | Warren et al. | Aug 1999 | A |
5956863 | Allen | Sep 1999 | A |
5965863 | Parker et al. | Oct 1999 | A |
5973681 | Tanigawa et al. | Oct 1999 | A |
5986651 | Reber et al. | Nov 1999 | A |
5992752 | Wilz, Sr. et al. | Nov 1999 | A |
5995105 | Reber et al. | Nov 1999 | A |
6026397 | Sheppard | Feb 2000 | A |
6027024 | Knowles | Feb 2000 | A |
6045048 | Wilz, Sr. et al. | Apr 2000 | A |
6068188 | Knowles | May 2000 | A |
6072401 | Kumar | Jun 2000 | A |
6119944 | Mulla et al. | Sep 2000 | A |
6147767 | Petteruti et al. | Nov 2000 | A |
6176427 | Antognini et al. | Jan 2001 | B1 |
6178426 | Klein et al. | Jan 2001 | B1 |
6182897 | Knowles et al. | Feb 2001 | B1 |
6199044 | Ackley et al. | Mar 2001 | B1 |
6206286 | Watanabe et al. | Mar 2001 | B1 |
6208980 | Kara | Mar 2001 | B1 |
6307487 | Luby | Oct 2001 | B1 |
6321989 | Wilz, Sr. et al. | Nov 2001 | B1 |
6321991 | Knowles | Nov 2001 | B1 |
6321992 | Knowles et al. | Nov 2001 | B1 |
6343101 | Dong et al. | Jan 2002 | B1 |
6345764 | Knowles | Feb 2002 | B1 |
6347743 | Wilz et al. | Feb 2002 | B2 |
6384743 | Philyaw et al. | May 2002 | B1 |
6384744 | Philyaw et al. | May 2002 | B1 |
6389010 | Kubler et al. | May 2002 | B1 |
6412699 | Russell et al. | Jul 2002 | B1 |
6507856 | Chen et al. | Jan 2003 | B1 |
6507864 | Klein et al. | Jan 2003 | B1 |
6525835 | Gulati | Feb 2003 | B1 |
6529146 | Kowalski et al. | Mar 2003 | B1 |
6535493 | Lee et al. | Mar 2003 | B1 |
6539360 | Kadaba | Mar 2003 | B1 |
6539422 | Hunt et al. | Mar 2003 | B1 |
6540140 | Knowles et al. | Apr 2003 | B1 |
6540142 | Alleshouse | Apr 2003 | B1 |
6565005 | Wilz et al. | May 2003 | B1 |
6568596 | Shaw | May 2003 | B1 |
6622919 | Wilz et al. | Sep 2003 | B1 |
6655593 | Alleshouse | Dec 2003 | B2 |
6697805 | Choquier et al. | Feb 2004 | B1 |
6758403 | Keys et al. | Jul 2004 | B1 |
6764009 | Melick et al. | Jul 2004 | B2 |
6764011 | Entani et al. | Jul 2004 | B2 |
6772947 | Shaw | Aug 2004 | B2 |
6776342 | Thuries | Aug 2004 | B1 |
6823388 | Philyaw et al. | Nov 2004 | B1 |
6854651 | Smith et al. | Feb 2005 | B2 |
6860427 | Schmidt et al. | Mar 2005 | B1 |
6873435 | Tehranchi et al. | Mar 2005 | B1 |
6902114 | Hashimoto et al. | Jun 2005 | B2 |
6908034 | Alleshouse | Jun 2005 | B2 |
6969002 | Creamer et al. | Nov 2005 | B2 |
6976062 | Denby et al. | Dec 2005 | B1 |
6987927 | Battaglia et al. | Jan 2006 | B1 |
7055737 | Tobin et al. | Jun 2006 | B1 |
7075676 | Owen et al. | Jul 2006 | B2 |
7077321 | Longacre, Jr. et al. | Jul 2006 | B2 |
7080786 | Longacre, Jr. et al. | Jul 2006 | B2 |
7104456 | Parker et al. | Sep 2006 | B2 |
7114021 | Seshadri | Sep 2006 | B2 |
7159214 | Rajaram et al. | Jan 2007 | B2 |
7207491 | Lubow | Apr 2007 | B2 |
7337317 | Meggitt et al. | Feb 2008 | B2 |
7367514 | Soule, III et al. | May 2008 | B2 |
8517269 | Meier et al. | Aug 2013 | B2 |
20010007334 | Wilz et al. | Jul 2001 | A1 |
20010043273 | Herrod et al. | Nov 2001 | A1 |
20010051915 | Ueno et al. | Dec 2001 | A1 |
20020030094 | Curry et al. | Mar 2002 | A1 |
20020066095 | Yu | May 2002 | A1 |
20020066788 | Knowles | Jun 2002 | A1 |
20020070278 | Hung et al. | Jun 2002 | A1 |
20020081038 | Moule | Jun 2002 | A1 |
20020111924 | Lewis | Aug 2002 | A1 |
20020150245 | Sugimoto et al. | Oct 2002 | A1 |
20030024990 | Wilz et al. | Feb 2003 | A1 |
20030048882 | Smith | Mar 2003 | A1 |
20030136841 | Alleshouse | Jul 2003 | A1 |
20030173405 | Wilz et al. | Sep 2003 | A1 |
20030197062 | Shaw | Oct 2003 | A1 |
20030228063 | Nakayama et al. | Dec 2003 | A1 |
20040002943 | Merrill et al. | Jan 2004 | A1 |
20040003388 | Jacquemot et al. | Jan 2004 | A1 |
20040149826 | Alleshouse | Aug 2004 | A1 |
20040194081 | Qumei et al. | Sep 2004 | A1 |
20060248524 | Seely | Nov 2006 | A1 |
20080197193 | Overhultz et al. | Aug 2008 | A1 |
20110099125 | Yankloski et al. | Apr 2011 | A1 |
20120248197 | Soule, III et al. | Oct 2012 | A1 |
Number | Date | Country |
---|---|---|
102693400 | Sep 2012 | CN |
0574024 | Dec 1993 | EP |
0700011 | Mar 1996 | EP |
2450825 | Mar 2013 | EP |
Number | Date | Country | |
---|---|---|---|
20140166760 A1 | Jun 2014 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12942197 | Nov 2010 | US |
Child | 14010105 | US |