Data and sensor system hub
Latest Guard, Inc. Patents:
- Analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments
- Animal repelling device
- Inline drain sanitizing system
- ANALYSIS AND DEEP LEARNING MODELING OF SENSOR-BASED OBJECT DETECTION DATA IN BOUNDED AQUATIC ENVIRONMENTS
- ANALYSIS AND DEEP LEARNING MODELING OF SENSOR-BASED OBJECT DETECTION DATA FOR ORGANIC MOTION DETERMINATION IN BOUNDED AQUATIC ENVIRONMENTS USING UNDERWATER POWERED SYSTEMS
Description
Claims
An ornamental design for a data and sensor system hub, as shown and described.
Referenced Cited
U.S. Patent Documents
Foreign Patent Documents
Other references
2783459 | February 1957 | Lienau et al. |
3732556 | May 1973 | Caprillo et al. |
3796208 | March 1974 | Bloice |
3953843 | April 27, 1976 | Codina |
3969712 | July 13, 1976 | Butman et al. |
4337527 | June 29, 1982 | Delagrange et al. |
4510487 | April 9, 1985 | Wolfe et al. |
4639902 | January 27, 1987 | Leverance et al. |
4747085 | May 24, 1988 | Dunegan et al. |
4775854 | October 4, 1988 | Cottrell |
4779095 | October 18, 1988 | Guerreri |
D312219 | November 20, 1990 | Pratt |
4971283 | November 20, 1990 | Tilsner |
5043705 | August 27, 1991 | Rooz et al. |
5142508 | August 25, 1992 | Mitchell et al. |
5146208 | September 8, 1992 | Parra |
5195060 | March 16, 1993 | Roll |
5200931 | April 6, 1993 | Kosalos et al. |
5369623 | November 29, 1994 | Zerangue |
5574497 | November 12, 1996 | Henderson et al. |
5616239 | April 1, 1997 | Wendell et al. |
5631976 | May 20, 1997 | Bolle et al. |
5691777 | November 25, 1997 | Kassatly |
6133838 | October 17, 2000 | Meniere |
6173066 | January 9, 2001 | Peurach et al. |
6421463 | July 16, 2002 | Poggio et al. |
6570608 | May 27, 2003 | Tserng |
6628835 | September 30, 2003 | Brill et al. |
D733596 | July 7, 2015 | Goodner |
9443207 | September 13, 2016 | Przybylko et al. |
9972188 | May 15, 2018 | AlMahmoud |
20090189981 | July 30, 2009 | Siann et al. |
20120269399 | October 25, 2012 | Anderson et al. |
20140267736 | September 18, 2014 | Delean |
20140333775 | November 13, 2014 | Naikal et al. |
20150107015 | April 23, 2015 | Ng |
20150139485 | May 21, 2015 | Bourdev |
20160104359 | April 14, 2016 | AlMahmoud |
20190004169 | January 3, 2019 | Watkins et al. |
9408257 | December 1996 | BR |
2436964 | June 2002 | CA |
103413114 | November 2013 | CN |
0485735 | May 1992 | EP |
0261917 | March 1994 | EP |
2741370 | May 1997 | FR |
2763459 | November 1998 | FR |
541637 | December 1941 | GB |
2254215 | September 1992 | GB |
S62251879 | November 1987 | JP |
H05157529 | June 1993 | JP |
H1070654 | March 1998 | JP |
3196842 | August 2001 | JP |
3264121 | March 2002 | JP |
1995034056 | December 1995 | WO |
2017130187 | August 2017 | WO |
- Baqué, Pierre et al. “Deep Occlusion Reasoning for Multi-camera Multi-target Detection.” 2017 IEEE International Conference on Computer Vision (ICCV) (2017): 271-279.
- Brubaker, Marcus A., Leonid Sigal and David J. Fleet, “Video-Based People Tracking,” Handbook of Ambient Intelligence and Smart Environments, pp. 57-87, Springer, Boston, MA (2009).
- Cao, Zhe, Thomas Simon, Shih-En Wei, Yaser Sheikh, “Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017), pp. 7291-7299.
- Centers for Disease Control and Prevention, National Center for Injury Prevention and Control. Web-based Injury Statistics Query and Reporting System (WISQARS) [online], [cited May 3, 2012]. Available from: URL: http://www.cdc.gov/injury/wisqars.
- Chen, Liang-Chieh et al. “Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.” CoRR abs/1412.7062 (2014): n. pag.
- Fleuret, François et al. “Multicamera People Tracking with a Probabilistic Occupancy Map.” IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (2008): 267-282.
- Greif, Thomas, “A Probabilistic Motion Model for Swimmers: A Computer Vision Approach,” Master of Science Thesis, Universität Augsburg (2009).
- Grundmann, Matthias, “Computational video: post-processing methods for stabilization, retargeting and segmentation,” Thesis for Degree of Doctor of Philosophy in the School of Interactive Computing, Georgia Institute of Technology, May 2013 (195 pages).
- Güler, Riza Alp et al. “DensePose: Dense Human Pose Estimation in the Wild.” 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018): 7297-7306.
- Hartley, Richard and Andrew Zisserman, “Multiple View Geometry in Computer Vision,” Second Edition, Cambridge University Press, Mar. 2004.
- He, Kaiming, Georgia Gkioxari, Piotr Dollár and Ross B. Girshick. “Mask R-CNN.” 2017 IEEE International Conference on Computer Vision (ICCV) (2017), pp. 2980-2988.
- Jialue Fan, Wei Xu, Ying Wu, Yihong Gong, “Human Tracking Using Convolutional Neural Networks,” IEEE Transactions on Neural Networks, vol. 21, No. 10, Oct. 2010.
- Joshi, Neel, Shai Avidan, Wojciech Matusik, David J. Kriegman, “Synthetic Aperture Tracking: Tracking through Occlusions,” IEEE 11th International Conference on Computer Vision, Oct. 14-21, 2007, pp. 1-8.
- Liu, Xiaobai, “Multi-View 3D Human Tracking in Crowded Scenes,” Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), 2016.
- Pentair IntelliLevel Water Leveling Monitoring, Installation and User's Guide, Pentair PLC, 2019 Retrieved Online.
- Schechner, Y. Y. and Nir Karpel. “Attenuating natural flicker patterns.” Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No. 04CH37600) 3 (2004): 1262-1268 vol. 3.
- Schechner, Yoav Y. and Nir Karpel. “Clear underwater vision.” Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. 1 (2004): I-I.
- Schechner, Yoav Y. et al. “Polarization and statistical analysis of scenes containing a semireflector.” Journal of the Optical Society of America. A, Optics, image science, and vision 17 2 (2000): 276-84.
- Shah, Sohil Atul and Vladlen Koltun. “Robust continuous clustering.” Proceedings of the National Academy of Sciences of the United States of America 114 37 (2017): 9814-9819.
- Shu, Guang, “Human Detection, Tracking and Segmentation in Surveillance Video,” PhD Thesis, University of Central Florida, 2014.
- Swirski, Yohay and Yoav Y. Schechner. “3Deflicker from motion.” IEEE International Conference on Computational Photography (ICCP) (2013): 1-9.
- Swirski, Yohay et al. “Stereo from flickering caustics.” 2009 IEEE 12th International Conference on Computer Vision (2009): 205-212.
- Tian, Luchao, Mingchen Li, Guyue Zhang, Jingwen Zhao and Yan Qiu Chen. “Robust Human Detection With Super-Pixel Segmentation and Random Ferns Classification Using RGB-D Camera.” 2017 IEEE International Conference on Multimedia and Expo (ICME) (2017), pp. 1542-1547.
- Tian, Yuandong and Srinivasa G. Narasimhan. “Globally Optimal Estimation of Nonrigid Image Distortion.” International Journal of Computer Vision 98 (2011): 279-302.
- Tian, Yuandong and Srinivasa G. Narasimhan. “Theory and Practice of Hierarchical Data-driven Descent for Optimal Deformation Estimation.” International Journal of Computer Vision 115 (2015): 44-67.
- Tzeng, Eric et al. “Simultaneous Deep Transfer Across Domains and Tasks.” 2015 IEEE International Conference on Computer Vision (ICCV) (2015): 4068-4076.
- Vo, Minh et al. “Automatic Adaptation of Person Association for Multiview Tracking in Group Activities.” ArXiv abs/1805.08717 (2018): 17 pages.
- Vo, Minh et al. “Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction.” 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016): 1710-1718.
- Wang, Jian et al., “Programmable Triangulation Light Curtains,” European Conference on Computer Vision (ECCV), 2018, pp. 19-34.
- Wang, Jiayuan, “Liquid Level Sensing Using Capacitive-to-Digital Converters,” Analog Dialogue, vol. 49, Apr. 2015. Retrieved Online.
- Wikipedia contributors, “Scheimpflug principle,” Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/w/index.php?title=Scheimpflug_principle&oldid=910381418 (accessed Sep. 24, 2019).
- Wikipedia contributors, “Tilt-shift photography,” Wikipedia, The Free Encyclopedia, (accessed Sep. 24, 2019).
- Wu, Changchang, “VisualSFM: A Visual Structure from Motion System,” Retrieved online Sep. 23, 2019, URL: (2011).
- Yang, Tao, Yanning Zhang, Jingyi Yu, Jing Li, Wenguang Ma, Xiaomin Tong, Rui Yu and Lingyan Ran. “All-in-Focus Synthetic Aperture Imaging.” ECCV (Sep. 2014), pp. 1-15.
- Zhi, Tiancheng et al. “Deep Material-Aware Cross-Spectral Stereo Matching.” 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018): 1916-1925.
Patent History
Patent number: D939980
Type: Grant
Filed: Sep 6, 2019
Date of Patent: Jan 4, 2022
Assignee: Guard, Inc. (San Francisco, CA)
Inventors: Chris Barton (San Francisco, CA), Nichole Suzanne Rouillac (San Francisco, CA), Robin Nicholas Hubbard (San Francisco, CA), Jonathan Chei-Feung Lau (San Francisco, CA)
Primary Examiner: Antoine Duval Davis
Application Number: 29/704,836
Type: Grant
Filed: Sep 6, 2019
Date of Patent: Jan 4, 2022
Assignee: Guard, Inc. (San Francisco, CA)
Inventors: Chris Barton (San Francisco, CA), Nichole Suzanne Rouillac (San Francisco, CA), Robin Nicholas Hubbard (San Francisco, CA), Jonathan Chei-Feung Lau (San Francisco, CA)
Primary Examiner: Antoine Duval Davis
Application Number: 29/704,836
Classifications