A computer vision welfare monitoring system using Python for detecting activity patterns and alerting on anomalies.
Presence is a welfare monitoring system that uses computer vision to detect activity patterns. The idea is simple: cameras in a care environment detect normal activity patterns, and the system alerts when those patterns change — someone hasn't moved in an unusual amount of time, or activity levels drop below baseline.
The Python backend processes video feeds, extracts motion data, builds activity profiles, and compares real-time behaviour against established baselines. Alerts trigger when deviations exceed configurable thresholds.
It's a sensitive application domain, so the focus was on minimising false positives while ensuring genuine anomalies get flagged quickly. The system learns what "normal" looks like for each monitored space.