Open access
Aug 2026
Real-time human suspicious activity detection system with deep learning for improved security monitoring from live video streaming
A real-time method for monitoring suspicious human activity that makes use of the ESP32-CAM and deep learning to detect human suspicious activity involving in thefts, crimes and immediately notify law enforcement personnel is suggested, thereby improving overall security and safety from the live video stream.
V. C., Ajmeera Kiran, H. M. Alshahrani et al.
· PeerJ Computer Science · 0 citations