The problem Sentinel AI solves

Current surveillance systems lack intelligent decision-making, causing inefficiencies in monitoring and responding to security threats. Traditional cameras with static settings and manual adjustments have limited adaptability to dynamic environments.

This deficiency hampers the system's capability to autonomously identify and respond to unusual activities or security breaches. The absence of intelligent camera decision-making may contribute to delayed responses, false alarms, and increased reliance on human intervention.

SOLUTION: AI-driven intelligent camera decision-making enhances surveillance systems, enabling dynamic adaptation to changing scenarios, real-time anomaly detection, and improved security effectiveness. This technology boosts accuracy, reduces response times, and decreases reliance on constant human monitoring.

Challenges we ran into

Integrations requiring opencv, medipipe and ultralytics
Building the dlib wheel for Face recognition was a cubersome process, it took time but at last with the capabilities of MACOS