Battery-Free Connected Machine Vision with WISPCam

Sustained exponential improvements in the energy efficiency of microelectronics has recently enabled us to build battery-free camera systems that are powered entirely by propagating radio waves. This paper describes primitive machine vision applications built using this highly constrained, battery-free camera system. After describing the WISPCam system and its constraints, we show how to use it to capture (relatively) high-resolution images of faces, without ever capturing a full frame at high resolution. This example application illustrates the issues that arise in partitioning a demanding vision application across mobile hardware that is highly constrained in power, storage, computation and communication.

[1]  Bo Li,et al.  P-FAD: Real-time face detection scheme on embedded smart cameras , 2012, 2012 Sixth International Conference on Distributed Smart Cameras (ICDSC).

[2]  Joshua R. Smith Range Scaling of Wirelessly Powered Sensor Systems , 2013 .

[3]  J.-J. Wang,et al.  Face Image Resolution versus Face Recognition Performance Based on Two Global Methods , 2004 .

[4]  Radoslaw Weychan,et al.  Influence of low resolution of images on reliability of face detection and recognition , 2015, Multimedia Tools and Applications.

[5]  Stephen Berard,et al.  Implications of Historical Trends in the Electrical Efficiency of Computing , 2011, IEEE Annals of the History of Computing.

[6]  Joshua R. Smith,et al.  Powering the next billion devices with wi-fi , 2015, CoNEXT.

[7]  Joshua R. Smith,et al.  Battery-free wireless identification and sensing , 2005, IEEE Pervasive Computing.

[8]  Alanson P. Sample,et al.  Self-localizing battery-free cameras , 2015, UbiComp.

[9]  Joshua R. Smith,et al.  WISPCam: A battery-free RFID camera , 2015, 2015 IEEE International Conference on RFID (RFID).

[10]  Alanson P. Sample,et al.  Design of an RFID-Based Battery-Free Programmable Sensing Platform , 2008, IEEE Transactions on Instrumentation and Measurement.

[11]  Alanson P. Sample,et al.  A Wirelessly-Powered Platform for Sensing and Computation , 2006, UbiComp.