Optical projectors and other optical devices may utilize a laser or other relatively bright light source to project an image onto a surface. For example, some depth-sensing cameras may utilize a diffractive optical element to transform light from a laser source to project a structured light pattern on a target in the field of view of an image sensor. Variations in the structured light pattern from an expected pattern that are caused by the distance of the target from the camera may be used to determine a distance of the target from the camera.
Depth-sensing cameras and other optical systems may rely upon the location of DOEs and other optical components to remain constant for proper device performance. Therefore, in the case of a depth-sensing camera, if an optical element becomes misplaced or damaged, the reference structured light image may change compared to that expected by the image processing software. However, such an optical system fault may not be easily discernable by the camera and depth-sensing image processing software. Therefore, various faults may result.
Accordingly, various embodiments related to optical fault monitoring are disclosed herein. For example, one disclosed embodiment provides, in an optical system comprising a light source, a light outlet, and an optical element disposed between the light source and the light outlet, a method of monitoring for optical system faults. The method includes detecting, via a light sensor directed toward an interface surface of the optical element closest to the light source, an intensity of light traveling from the interface surface of the optical element to the light sensor, and comparing the intensity of light detected to one or more threshold intensity values. The method further includes identifying an optical system fault condition based on comparing the intensity of light detected to one or more threshold values, and modifying operation of the optical system based upon the optical system fault condition.
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Furthermore, the claimed subject matter is not limited to implementations that solve any or all disadvantages noted in any part of this disclosure.
Optical devices such as depth-sensing cameras may utilize a laser, or other such light source, modulated by a diffractive optical element to project a structured light pattern on a target in the field of view of an image sensor. As such, the distance from the camera to the target (i.e., the depth from the camera to the target) may be determined based on detecting variations in the projected structured light pattern. For example, a variation may be detected if the reference structured light image differs from that expected by the image processing software. However, other sources may cause variations in the projected structured light pattern that are independent of depth detection, and instead result from optical faults in the optical system. Optical faults may include, but are not limited to, damage to and/or contamination of an optical element, changes in positioning of an optical element, physical objects in an optical path of the optical element, and the like. Such optical faults may not be easily discernable by the camera and depth-sensing image processing software, resulting in ambiguity of fault mitigation.
Therefore, the monitoring of faults in such an optical device, as described herein may provide for the detection and determination of optical faults, and enable the application of corrective and/or mitigating actions.
As depicted, the beam of light 106 exits optical device 102 through a light outlet 108. Light outlet 108 may be any suitable outlet through which the light may leave the optical device, such as a hole, a filter, a plastic cover, a lens, etc. Optical device 102 further includes an optical element 110 disposed between light source 104 and light outlet 108. Optical element 110 may be any suitable optical element configured to receive the beam of light 106 on a light-source side of the optical element (i.e., at an interface surface 112) and to diffract the beam of light 106 to form a structured pattern, as depicted in
Due to propagation reciprocity symmetry, optical element 110 may be bidirectional. As such, in addition to optical element 110 directing the beam of light 106 from an interface surface 112 toward the light outlet 108 as described above, optical element 110 may also direct light received through the light outlet 108 toward the interface surface 112. As an example, upon exiting light outlet 108, beam of light 106 may reflect off of a physical object within the optical path, and this reflected light may then be directed back through light outlet 108 and through optical element 110 toward the interface surface 112.
As such, optical device 102 further includes a light sensor 116 directed toward interface surface 112 of optical element 110 closest to the light source 104 (i.e., a light-source side of the optical element 110) so as to detect such light traveling from interface surface 112 toward light sensor 116. Light sensor 116 may comprise any suitable sensor for detecting an intensity of light traveling from interface surface 112 of optical element 110 to light sensor 116. Examples include, but are not limited to, photodetectors and image sensors.
Optical device 102 further includes a controller 118 configured to perform various device functions. For example, where the optical device 102 is a structured light depth sensor, the controller 118 may be configured to control the projection of a structured light pattern, and to determine a distance of objects located in front of the depth sensor via an image of the structured light pattern, as described above. Further, controller 118 may be configured to detect an optical fault condition based upon a signal received from the light sensor 116. Controller 118 may determine an optical fault condition in any suitable manner. For example, controller 118 may monitor an intensity of light received from interface surface 112 as measured by light sensor 116, and compare the measured intensity of light to one or more threshold intensity values. Controller 118 may be further configured to apply one or more response actions upon detecting an optical fault condition. For example, controller 118 may be further configured to change a power state of optical device 102 if an upper or lower threshold is met (e.g. shut off light source 104), and/or display a warning message on a display device. Methods of optical fault monitoring are described in more detail hereafter with reference to
Next, at 204, method 200 includes comparing the intensity of light detected to one or more threshold intensity values, and then at 206, determining if an optical fault condition exists based on this comparison. As will be described in more detail hereafter with reference to
Continuing with
As an example, in one embodiment, the optical system may determine an optical fault condition indicating presence of a physical object located on a light-outlet side of the optical element and in the optical path of the optical element. The optical system may in response display on a display device a warning message asking the user to remove the physical object. If the optical system determines that the physical object has not been removed, for example after a predetermined time duration, the optical system may further modify operation of the optical system by performing a shutdown operation. Additional examples of optical fault conditions and corrective actions are described hereafter.
Returning to
Continuing with
Continuing with
In some embodiments, method 300 may further include determining that no response has yet been taken to the warning message, for example, within a predetermined time duration, and performing another corrective action, such as performing a shutdown operation. Then, in some embodiments, the depth-sensing camera may periodically be re-powered to determine whether the object has been removed from the beam path. In some embodiments, after performing a shutdown operation, a response may be detected to the warning message and the optical system may be returned to a normal operating state. In other embodiments, the depth-sensing camera may remain in the shut-down state until re-activated by a user.
Continuing with
As described above, any other additional and/or alternative threshold comparisons may be used to determine other fault conditions without departing from the scope of this disclosure. For example, in some embodiments, method 300 may include determining if the intensity of light is outside of an operating range of accepted values, for example, due to contamination of an optical component (e.g. moisture on the diffractive optical element, etc.). If it is determined that the intensity of light is outside of such an operating range, method 300 may include identifying an optical fault due to degraded performance of the diffractive optical element or other optical element, and applying a third corrective action.
In some embodiments, the above-described optical system and methods may be tied to a computing device. As an example, a depth-sensing camera may be included within a gaming system including a gaming console and a display device. It will be appreciated that the computing devices described herein may be any suitable computing device configured to execute the programs described herein. For example, the computing devices may be a mainframe computer, personal computer, laptop computer, portable data assistant (PDA), computer-enabled wireless telephone, networked computing device, or other suitable computing device, and may be connected to each other via computer networks, such as the Internet. These computing devices typically include a processor and associated volatile and non-volatile memory, and are configured to execute programs stored in non-volatile memory using portions of volatile memory and the processor. As used herein, the term “program” refers to software or firmware components that may be executed by, or utilized by, one or more computing devices described herein, and is meant to encompass individual or groups of executable files, data files, libraries, drivers, scripts, database records, etc. It will be appreciated that computer-readable media may be provided having program instructions stored thereon, which upon execution by a computing device, cause the computing device to execute the methods described above and cause operation of the systems described above.
It should be understood that the embodiments herein are illustrative and not restrictive, since the scope of the invention is defined by the appended claims rather than by the description preceding them, and all changes that fall within metes and bounds of the claims, or equivalence of such metes and bounds thereof are therefore intended to be embraced by the claims.
This application is a continuation of U.S. patent application Ser. No. 12/559,160, titled OPTICAL FAULT MONITORING and filed Sep. 14, 2009, the disclosure of which is hereby incorporated by reference.
Number | Name | Date | Kind |
---|---|---|---|
4627620 | Yang | Dec 1986 | A |
4630910 | Ross et al. | Dec 1986 | A |
4645458 | Williams | Feb 1987 | A |
4695953 | Blair et al. | Sep 1987 | A |
4702475 | Elstein et al. | Oct 1987 | A |
4711543 | Blair et al. | Dec 1987 | A |
4751642 | Silva et al. | Jun 1988 | A |
4796997 | Svetkoff et al. | Jan 1989 | A |
4809065 | Harris et al. | Feb 1989 | A |
4817950 | Goo | Apr 1989 | A |
4843568 | Krueger et al. | Jun 1989 | A |
4893183 | Nayar | Jan 1990 | A |
4901362 | Terzian | Feb 1990 | A |
4925189 | Braeunig | May 1990 | A |
5101444 | Wilson et al. | Mar 1992 | A |
5148154 | MacKay et al. | Sep 1992 | A |
5184295 | Mann | Feb 1993 | A |
5229754 | Aoki et al. | Jul 1993 | A |
5229756 | Kosugi et al. | Jul 1993 | A |
5239463 | Blair et al. | Aug 1993 | A |
5239464 | Blair et al. | Aug 1993 | A |
5288078 | Capper et al. | Feb 1994 | A |
5291028 | Droge et al. | Mar 1994 | A |
5295491 | Gevins | Mar 1994 | A |
5320538 | Baum | Jun 1994 | A |
5347306 | Nitta | Sep 1994 | A |
5385519 | Hsu et al. | Jan 1995 | A |
5405152 | Katanics et al. | Apr 1995 | A |
5417210 | Funda et al. | May 1995 | A |
5423554 | Davis | Jun 1995 | A |
5454043 | Freeman | Sep 1995 | A |
5469740 | French et al. | Nov 1995 | A |
5495576 | Ritchey | Feb 1996 | A |
5516105 | Eisenbrey et al. | May 1996 | A |
5524637 | Erickson | Jun 1996 | A |
5534917 | MacDougall | Jul 1996 | A |
5563988 | Maes et al. | Oct 1996 | A |
5577981 | Jarvik | Nov 1996 | A |
5580249 | Jacobsen et al. | Dec 1996 | A |
5594469 | Freeman et al. | Jan 1997 | A |
5597309 | Riess | Jan 1997 | A |
5616078 | Oh | Apr 1997 | A |
5617312 | Iura et al. | Apr 1997 | A |
5638300 | Johnson | Jun 1997 | A |
5641288 | Zaenglein, Jr. | Jun 1997 | A |
5682196 | Freeman | Oct 1997 | A |
5682229 | Wangler | Oct 1997 | A |
5690582 | Ulrich et al. | Nov 1997 | A |
5703367 | Hashimoto et al. | Dec 1997 | A |
5704837 | Iwasaki et al. | Jan 1998 | A |
5715834 | Bergamasco et al. | Feb 1998 | A |
5875108 | Hoffberg et al. | Feb 1999 | A |
5877803 | Wee et al. | Mar 1999 | A |
5913727 | Ahdoot | Jun 1999 | A |
5933125 | Fernie et al. | Aug 1999 | A |
5980256 | Carmein | Nov 1999 | A |
5989157 | Walton | Nov 1999 | A |
5995649 | Marugame | Nov 1999 | A |
6005548 | Latypov et al. | Dec 1999 | A |
6009210 | Kang | Dec 1999 | A |
6054991 | Crane et al. | Apr 2000 | A |
6066075 | Poulton | May 2000 | A |
6072494 | Nguyen | Jun 2000 | A |
6073489 | French et al. | Jun 2000 | A |
6077201 | Cheng et al. | Jun 2000 | A |
6098458 | French et al. | Aug 2000 | A |
6100896 | Strohecker et al. | Aug 2000 | A |
6101289 | Kellner | Aug 2000 | A |
6128003 | Smith et al. | Oct 2000 | A |
6130677 | Kunz | Oct 2000 | A |
6141463 | Covell et al. | Oct 2000 | A |
6147678 | Kumar et al. | Nov 2000 | A |
6152856 | Studor et al. | Nov 2000 | A |
6159100 | Smith | Dec 2000 | A |
6173066 | Peurach et al. | Jan 2001 | B1 |
6181343 | Lyons | Jan 2001 | B1 |
6188777 | Darrell et al. | Feb 2001 | B1 |
6215890 | Matsuo et al. | Apr 2001 | B1 |
6215898 | Woodfill et al. | Apr 2001 | B1 |
6226396 | Marugame | May 2001 | B1 |
6229913 | Nayar et al. | May 2001 | B1 |
6256033 | Nguyen | Jul 2001 | B1 |
6256400 | Takata et al. | Jul 2001 | B1 |
6283860 | Lyons et al. | Sep 2001 | B1 |
6289112 | Jain et al. | Sep 2001 | B1 |
6299308 | Voronka et al. | Oct 2001 | B1 |
6308565 | French et al. | Oct 2001 | B1 |
6316934 | Amorai-Moriya et al. | Nov 2001 | B1 |
6363160 | Bradski et al. | Mar 2002 | B1 |
6384819 | Hunter | May 2002 | B1 |
6411744 | Edwards | Jun 2002 | B1 |
6430997 | French et al. | Aug 2002 | B1 |
6476834 | Doval et al. | Nov 2002 | B1 |
6496598 | Harman | Dec 2002 | B1 |
6503195 | Keller et al. | Jan 2003 | B1 |
6509967 | Pingel et al. | Jan 2003 | B1 |
6539931 | Trajkovic et al. | Apr 2003 | B2 |
6570555 | Prevost et al. | May 2003 | B1 |
6633294 | Rosenthal et al. | Oct 2003 | B1 |
6640202 | Dietz et al. | Oct 2003 | B1 |
6661918 | Gordon et al. | Dec 2003 | B1 |
6681031 | Cohen et al. | Jan 2004 | B2 |
6714665 | Hanna et al. | Mar 2004 | B1 |
6731799 | Sun et al. | May 2004 | B1 |
6738066 | Nguyen | May 2004 | B1 |
6765726 | French et al. | Jul 2004 | B2 |
6788809 | Grzeszczuk et al. | Sep 2004 | B1 |
6801637 | Voronka et al. | Oct 2004 | B2 |
6873723 | Aucsmith et al. | Mar 2005 | B1 |
6876496 | French et al. | Apr 2005 | B2 |
6937742 | Roberts et al. | Aug 2005 | B2 |
6950534 | Cohen et al. | Sep 2005 | B2 |
7003134 | Covell et al. | Feb 2006 | B1 |
7036094 | Cohen et al. | Apr 2006 | B1 |
7038855 | French et al. | May 2006 | B2 |
7039676 | Day et al. | May 2006 | B1 |
7042440 | Pryor et al. | May 2006 | B2 |
7050606 | Paul et al. | May 2006 | B2 |
7058204 | Hildreth et al. | Jun 2006 | B2 |
7060957 | Lange et al. | Jun 2006 | B2 |
7113918 | Ahmad et al. | Sep 2006 | B1 |
7121946 | Paul et al. | Oct 2006 | B2 |
7149383 | Chen | Dec 2006 | B2 |
7162114 | Donval et al. | Jan 2007 | B2 |
7170492 | Bell | Jan 2007 | B2 |
7184048 | Hunter | Feb 2007 | B2 |
7184585 | Hamza et al. | Feb 2007 | B2 |
7185987 | Tamura | Mar 2007 | B2 |
7202898 | Braun et al. | Apr 2007 | B1 |
7222078 | Abelow | May 2007 | B2 |
7227526 | Hildreth et al. | Jun 2007 | B2 |
7259747 | Bell | Aug 2007 | B2 |
7308112 | Fujimura et al. | Dec 2007 | B2 |
7317836 | Fujimura et al. | Jan 2008 | B2 |
7348963 | Bell | Mar 2008 | B2 |
7359121 | French et al. | Apr 2008 | B2 |
7367887 | Watabe et al. | May 2008 | B2 |
7379563 | Shamaie | May 2008 | B2 |
7379566 | Hildreth | May 2008 | B2 |
7389591 | Jaiswal et al. | Jun 2008 | B2 |
7412077 | Li et al. | Aug 2008 | B2 |
7421093 | Hildreth et al. | Sep 2008 | B2 |
7430312 | Gu | Sep 2008 | B2 |
7436496 | Kawahito | Oct 2008 | B2 |
7450736 | Yang et al. | Nov 2008 | B2 |
7452275 | Kuraishi | Nov 2008 | B2 |
7460690 | Cohen et al. | Dec 2008 | B2 |
7489812 | Fox et al. | Feb 2009 | B2 |
7536032 | Bell | May 2009 | B2 |
7555142 | Hildreth et al. | Jun 2009 | B2 |
7560701 | Oggier et al. | Jul 2009 | B2 |
7570805 | Gu | Aug 2009 | B2 |
7574020 | Shamaie | Aug 2009 | B2 |
7576727 | Bell | Aug 2009 | B2 |
7590262 | Fujimura et al. | Sep 2009 | B2 |
7593552 | Higaki et al. | Sep 2009 | B2 |
7598942 | Underkoffler et al. | Oct 2009 | B2 |
7607509 | Schmiz et al. | Oct 2009 | B2 |
7620202 | Fujimura et al. | Nov 2009 | B2 |
7668340 | Cohen et al. | Feb 2010 | B2 |
7680298 | Roberts et al. | Mar 2010 | B2 |
7683954 | Ichikawa et al. | Mar 2010 | B2 |
7684592 | Paul et al. | Mar 2010 | B2 |
7701439 | Hillis et al. | Apr 2010 | B2 |
7702130 | Im et al. | Apr 2010 | B2 |
7704135 | Harrison, Jr. | Apr 2010 | B2 |
7710391 | Bell et al. | May 2010 | B2 |
7729530 | Antonov et al. | Jun 2010 | B2 |
7746345 | Hunter | Jun 2010 | B2 |
7760182 | Ahmad et al. | Jul 2010 | B2 |
7809167 | Bell | Oct 2010 | B2 |
7834846 | Bell | Nov 2010 | B1 |
7852262 | Namineni et al. | Dec 2010 | B2 |
RE42256 | Edwards | Mar 2011 | E |
7898522 | Hildreth et al. | Mar 2011 | B2 |
8028918 | Zhang et al. | Oct 2011 | B2 |
8035612 | Bell et al. | Oct 2011 | B2 |
8035614 | Bell et al. | Oct 2011 | B2 |
8035624 | Bell et al. | Oct 2011 | B2 |
8072470 | Marks | Dec 2011 | B2 |
20020109844 | Christel et al. | Aug 2002 | A1 |
20030103211 | Lange et al. | Jun 2003 | A1 |
20050199725 | Craen et al. | Sep 2005 | A1 |
20050200840 | Terui | Sep 2005 | A1 |
20070215822 | Wuestefeld | Sep 2007 | A1 |
20070295814 | Tanaka et al. | Dec 2007 | A1 |
20080026838 | Dunstan et al. | Jan 2008 | A1 |
20080101843 | Murahashi et al. | May 2008 | A1 |
20090084851 | Vinogradov et al. | Apr 2009 | A1 |
Number | Date | Country |
---|---|---|
101254344 | Jun 2010 | CN |
0583061 | Feb 1994 | EP |
08044490 | Feb 1996 | JP |
9310708 | Jun 1993 | WO |
9717598 | May 1997 | WO |
9944698 | Sep 1999 | WO |
2008109932 | Sep 2008 | WO |
Entry |
---|
Kanade, et al., “A Stereo Machine for Video-rate Dense Depth Mapping and Its New Applications”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996, pp. 196-202,The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA. |
Miyagawa, et al., “CCD-Based Range Finding Sensor”, Oct. 1997, pp. 1648-1652, vol. 44 No. 10, IEEE Transactions on Electron Devices. |
Rosenhahn, et al., “Automatic Human Model Generation”, 2005, pp. 41-48, University of Auckland (CITR), New Zealand. |
Aggarwal, et al., “Human Motion Analysis: A Review”, IEEE Nonrigid and Articulated Motion Workshop, 1997, University of Texas at Austin, Austin, TX, pp. 13. |
Shao, et al., “An Open System Architecture for a Multimedia and Multimodal User Interface”, Aug. 24, 1998, Japanese Society for Rehabilitation of Persons with Disabilities (JSRPD), Japan, pp. 8. |
Kohler, Markus., “Special Topics of Gesture Recognition Applied in Intelligent Home Environments”, In Proceedings of the Gesture Workshop, 1998, pp. 285-296, Germany. |
Kohler, Markus., “Vision Based Remote Control in Intelligent Home Environments”, University of Erlangen-Nuremberg/Germany, 1996, pp. 147-154, Germany. |
Kohler, Markus., “Technical Details and Ergonomical Aspects of Gesture Recognition applied in Intelligent Home Environments”, 1997, Germany, pp. 35. |
Hasegawa, et al., “Human-Scale Haptic Interaction with a Reactive Virtual Human in a Real-Time Physics Simulator”, Jul. 2006, vol. 4, No. 3, Article 6C, ACM Computers in Entertainment, New York, NY, pp. 12. |
Qian, et al., “A Gesture-Driven Multimodal Interactive Dance System”, Jun. 2004, pp. 1579-1582, IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan. |
Zhao, Liang., “Dressed Human Modeling, Detection, and Parts Localization”, 2001, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, pp. 121. |
He, Lei., “Generation of Human Body Models”, Apr. 2005, University of Auckland, New Zealand, pp. 111. |
Isard, et al., “Condensation—Conditional Density Propagation for Visual Tracking”, 1998, pp. 5-28, International Journal of Computer Vision 29(1), Netherlands. |
Livingston, Mark Alan., “Vision-based Tracking with Dynamic Structured Light for Video See-through Augmented Reality”, 1998, University of North Carolina at Chapel Hill, North Carolina, USA, pp. 145. |
Wren et al., “Pfinder: Real-Time Tracking of the Human Body”, MIT Media Laboratory Perceptual Computing Section Technical Report No. 353, Jul. 1997, vol. 19, No. 7, pp. 780-785, IEEE Transactions on Pattern Analysis and Machine Intelligence, Caimbridge, MA. |
Breen, et al., “Interactive Occlusion and Collusion of Real and Virtual Objects in Augmented Reality”, Technical Report ECRC-95-02, 1995, European Computer-Industry Research Center GmbH, Munich, Germany, pp. 22. |
Freeman, et al., “Television Control by Hand Gestures”, Dec. 1994, Mitsubishi Electric Research Laboratories, TR94-24, Caimbridge, MA, pp. 7. |
Hongo, et al., “Focus of Attention for Face and Hand Gesture Recognition Using Multiple Cameras”, Mar. 2000, pp. 156-161, 4th IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France. |
Pavlovic, et al., “Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review”, Jul. 1997, pp. 677-695, vol. 19, No. 7, IEEE Transactions on Pattern Analysis and Machine Intelligence. |
Azarbayejani, et al., “Visually Controlled Graphics”, Jun. 1993, vol. 15, No. 6, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 602-605. |
Granieri, et al., “Simulating Humans in VR”, The British Computer Society, Oct. 1994, Academic Press, pp. 15. |
Brogan, et al., “Dynamically Simulated Characters in Virtual Environments”, Sep./Oct. 1998, pp. 2-13, vol. 18, Issue 5, IEEE Computer Graphics and Applications. |
Fisher, et al., “Virtual Environment Display System”, ACM Workshop on Interactive 3D Graphics, Oct. 1986, Chapel Hill, NC, pp. 12. |
“Virtual High Anxiety”, Tech Update, Aug. 1995, pp. 1. |
Sheridan, et al., “Virtual Reality Check”, Technology Review, Oct. 1993, pp. 22-28, vol. 96, No. 7. |
Stevens, “Flights into Virtual Reality Treating Real World Disorders”, The Washington Post, Mar. 27, 1995, Science Psychology, pp. 2. |
“Simulation and Training”, 1994, Division Incorporated, pp. 6. |
Taga, et al. , “Power Penalty Due to Optical Back Reflection in Semiconductor Optical Amplifier Repeater Systems”, Retrieved at <<http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00053262>>, IEEE Photonomics Technology Letters , vol. 2, No. 4, Apr. 1990, pp. 279-281. |
“Beam Dump”, Retrieved at <<http://en.wikipedia.org/wiki/Beam—dump>>, Jul. 22, 2009, pp. 2. |
Swain, et al. , “Manufacturing Low Insertion Loss Fiber-Lens Elements”, Retrieved at <<http://www.photon-inc.com/support/library/pdf/Mfg—FiberLensElements.pdf>>, pp. 1-7. |
Number | Date | Country | |
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20130056615 A1 | Mar 2013 | US |
Number | Date | Country | |
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Parent | 12559160 | Sep 2009 | US |
Child | 13667915 | US |