基于云的监控使用ESP32 CAM

Akwinder Kaur, Abhimanyu Jadli, Apratim Sadhu, Satvik Goyal, Abhishek Mehra, Rahul
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引用次数: 7

摘要

从社区到警卫到警察,从闭路电视到无人机,监视的概念一直萦绕在人们的脑海中。它只是随着时间的推移而升级。近年来,随着人工智能的介入,监控和云监控的方式和效率发生了变化。这项工作涉及到类似的监视技术,我们打算检测不戴口罩的人。该项目是对当前大流行形势的启发,并为未来做好准备。这项工作还包括云监控和在服务器上直播视频。开发了卷积神经网络来预测某人是否戴口罩。它部署在自制服务器上,可以远程监控。用于拍摄视频的摄像头是ESP32。鉴于目前的情况,这项拟议的工作在世界各地得到了广泛的实施,并有可能在未来得到利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Based Surveillance using ESP32 CAM
The idea of surveillance has always lingered around from community to guards to police to CCTV to Drones. It is just getting upgrade with the time. The recent times with the involvement of artificial intelligence the surveillance and cloud monitoring has changed the way and efficiency. This work involves similar surveillance techniques in which we intend to detect people not wearing a mask. The project was an inspiration for the current pandemic situation and to be ready for the future. The work also includes cloud monitoring and streaming the live footage on the server. A Convolutional Neural Network is developed to predict whether someone is wearing a mask or not. It is deployed on a self-made server and can be monitored remotely. The camera used to capture the video is ESP32. This proposed work has huge implementation around the world given the present situation and has the potential to be used in the future.
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