一种无电池远程无线智能人脸检测相机

Marco Giordano, Philipp Mayer, M. Magno
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引用次数: 18

摘要

本文介绍了一种无电池智能相机,它结合了微型机器学习、远程通信、电源管理和能量收集。智能传感器节点已经在现场实施和评估,显示了小尺寸光伏板的无电池能力和提出的解决方案的能源效率。我们评估了两种不同的ARM Cortex-M4F微控制器,Ambiq Apollo 3是一种节能微控制器,而Microchip SAMD51能够在高辐射环境中工作,但在主动模式下具有更高的功率。最后,低功耗LoRa模块提供了远程无线传输能力。用于人脸识别的微型机器学习算法在准确性和能量方面进行了优化,识别五种不同面孔的准确率高达97%。实验结果表明,所开发的传感器节点能够在350勒克斯的极低亮度下,使用厘米大小的柔性光伏板,在1分钟后从冷启动开始,并在冷启动后永久工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Battery-Free Long-Range Wireless Smart Camera for Face Detection
This paper presents a battery-free smart camera that combines tiny machine learning, long-range communication, power management, and energy harvesting. The smart sensor node has been implemented and evaluated in the field, showing both battery-less capabilities with a small-size photovoltaic panel and the energy efficiency of the proposed solution. We evaluated two different ARM Cortex-M4F microcontrollers, the Ambiq Apollo 3 that is an energy-efficient microcontroller, and a Microchip SAMD51 able to work in high radiation environments but with a higher power in active mode. Finally, a low power LoRa module provides the long-range wireless transmission capability. The tiny machine learning algorithm for face recognition has been optimized in terms of accuracy versus energy, achieving up to 97% accuracy recognizing five different faces. Experimental results demonstrated the capability of the developed sensor node to start from the cold start after 1 minute at a very low luminosity of 350 lux using a cm size flexible photovoltaic panels and work perpetually after the cold start.
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