Demo Abstract: A Battery-Free Long-Range Wireless Smart Camera for Face Recognition

被引:7
作者
Giordano, Marco [1 ]
Magno, Michele [1 ]
机构
[1] Swiss Fed Inst Technol, PBL, Zurich, Switzerland
来源
PROCEEDINGS OF THE 2021 THE 19TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, SENSYS 2021 | 2021年
关键词
Battery-Free; Smart Sensors; Smart Camera; Energy Harvesting; Power Management; Low Power Design; Tiny Machine Learning;
D O I
10.1145/3485730.3493367
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:594 / 595
页数:2
相关论文
共 6 条
[1]   Accelerated Visual Context Classification on a Low-Power Smartwatch [J].
Conti, Francesco ;
Palossi, Daniele ;
Andri, Renzo ;
Magno, Michele ;
Benini, Luca .
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2017, 47 (01) :19-30
[2]  
Krumm J, 2018, Ubiquitous computing fundamentals
[3]   Deep Learning Face Attributes in the Wild [J].
Liu, Ziwei ;
Luo, Ping ;
Wang, Xiaogang ;
Tang, Xiaoou .
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2015, :3730-3738
[4]   Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild [J].
Picon, Artzai ;
Alvarez-Gila, Aitor ;
Seitz, Maximiliam ;
Ortiz-Barredo, Amaia ;
Echazarra, Jone ;
Johannes, Alexander .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 161 :280-290
[5]  
Satyanarayanan Mahadev., 2017, The emergence of edge computing, V50, P30, DOI [10.1109/MC.2017.9, DOI 10.1109/MC.2017.9]
[6]  
Toulson R, 2017, FAST AND EFFECTIVE EMBEDDED SYSTEMS DESIGN: APPLYING THE ARM MBED, 2ND EDITION, P1