ABSTRACT
In this demo we present a battery-free smart camera that exploits aggressive power management and energy harvesting to achieve face recognition in an energy-neutral fashion. A novel hardware accelerator for Convolution Neural Networks is employed to speed up the inference of the Tiny Machine Learning algorithm. The recognized face, and not the entire image, is sent via LoRa in a sensor network-like scenario. Experimental results demonstrated the capability of the developed sensor node to start and work perpetually with only a small photovoltaic panel array.
- F. Conti, D. Palossi, R. Andri, M. Magno, and L. Benini. 2017. Accelerated Visual Context Classification on a Low-Power Smartwatch. IEEE Transactions on Human-Machine Systems 47, 1 (Feb. 2017), 19--30. https://doi.org/10.1109/THMS.2016.2623482 Conference Name: IEEE Transactions on Human-Machine Systems.Google Scholar
- John Krumm. 2018. Ubiquitous Computing Fundamentals. CRC Press. Google-Books-ID: RCxZl4PCXwAC.Google Scholar
- Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang. 2015. Deep Learning Face Attributes in the Wild. In Proceedings of International Conference on Computer Vision (ICCV).Google ScholarDigital Library
- Artzai Picon, Aitor Alvarez-Gila, Maximiliam Seitz, Amaia Ortiz-Barredo, Jone Echazarra, and Alexander Johannes. 2019. Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild. Computers and Electronics in Agriculture 161 (June 2019), 280--290. https://doi.org/10.1016/j.compag.2018.04.002Google ScholarDigital Library
- Toulson R. and Wilmshurst T. 2017. "Embedded Systems, Microcontrollers, and ARM," in Fast and Effective Embedded Systems Design.Google Scholar
- Mahadev Satyanarayanan. 2017. The Emergence of Edge Computing. Computer 50, 1 (2017), 30--39. https://doi.org/10.1109/MC.2017.9Google ScholarDigital Library
Index Terms
- A Battery-Free Long-Range Wireless Smart Camera for Face Recognition
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