Abstract:
Popular Home Security Systems are reactive in nature and mostly do not have any kind of
intelligent component able to assist with timely distress signalling. Haven AI Watchdog
is a home security system that provides a discreet method for triggering emergency
alerts thorugh configurable gesture sequences mapped to protocols. Instead of relying
on traditional/static/physical means of calling for help that may be inaccessible, time
consuming or infeasible, the system allows users to signal for help using pre-configured
hand gestures. The system combines real-time gesture recognition with facial verification
to reduce false alarms.
The implementation consists of a Flutter mobile application for all types of users
that wll be involved in the system, a Django main server backend, and a locally installed
processing unit with a camera with local script server. Gesture detection is performed using
a YOLO v11m model trained on a hand gesture dataset from Kaggle. Facial verification
uses the FaceNet-512 model via the DeepFace library. The system supports multi-user
households with role-based access and includes a training mode for users to practice
gestures safely.
