Abstract
This project develops an AI-based system that will help detect intrusion of human in a smart home with Camera and networking setting. The system will be made in such way that once a camera detects a stranger with knife or gun, the system will capture the picture of the stranger and will make all the cameras to detect/track the stranger anywhere in home and keep sending the update of the person to the user on his mobile. Compared to traditional and similar systems, this project introduces a secondary layer to have all the cameras cooperate to track the thief (intruder detected before).
In summary, the system will be capable of doing face recognition and object detection (weapons). This human intrusion detection system will be developed by using two models – LBPH and Faster RC neural networks.