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Smart Home Camera Fall Detection System

  • Ziqi Ding,
  • Hanwei Qian,
  • Zechen Wu,
  • Wei Liu

摘要

As China’s population ages, the issue of population aging has become increasingly severe. By the end of 2022, the population aged 60 and above in China has already reached 280 million, with an estimated 25 million falls occurring annually. Falls pose a serious threat to the health and well-being of the elderly. To address this problem, this article presents the design of an intelligent home camera fall detection system aimed at detecting falls and providing immediate assistance. The design incorporates streaming technology and image processing techniques, utilizing a Raspberry Pi camera placed in the home to collect data and stream it via RTMP. A remote server then pulls the video stream and performs fall detection using a combination of the Tiny-YOLOv3, AlphaPose, and ST-GCN algorithms. Upon detecting a fall, the system sends an immediate alert to designated individuals via the PushPlus platform, ensuring timely warnings and effectively safeguarding the safety of the elderly.