A Deep-Learning-Assisted Versatile Electret Sensor for Moving Object Detection

Nano Energy(2022)

引用 3|浏览26
暂无评分
摘要
Smart active sensing system plays an important role in the development of smart industry and Internet of Things (IoT). For large-scale machinery and equipment, it's still very challenging to develop ideal sensors for accommodating to this future technology. In this work, a self-powered versatile electret sensor is proposed for moving objects detection in large-scale machinery and equipment, based on which, methods of detecting the features of objects, such as size, material composition, charged property, length and speed, are investigated and developed. Deep learning method is also integrated with the object sensor, reaching very high accuracy and intelligent sensing. Moreover, take the case of aircraft inlet or other machinery with similar issues, we further design a specific object sensor for inhalation monitoring. An intelligent monitoring and recognition system based on object sensor and deep learning method is also designed for intelligent and automatic monitoring of moving objects. Very high accuracy is obtained, indicating promising potential of this prototype in smart sensing. This work provides a deep-learning-assisted self-powered versatile electret sensor for moving objects, which lays a solid foundation for the real-time health and safety monitoring and digitalization of large-scale machinery and equipment in IoT.
更多
查看译文
关键词
Self -powered sensor,Object sensor,Deep learning,Electret,Intelligent monitoring
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要