Eyas: AI Security Camera Agent

Eyas is an AI-powered offline CCTV intelligence agent designed to address the challenges faced by small retail shop owners in monitoring theft in real-time. Developed during the Build Small Hackathon, it leverages a sequence of small models, including YOLO11n for detection and tracking, MiniCPM-V 4.6 for observation, Nemotron 3 Nano 4B for event-log reasoning, TinyAya for Korean translation, and VoxCPM2 for audio synthesis, all running locally without cloud dependencies. The system aims to provide owners with immediate alerts on suspicious activities, allowing them to act promptly rather than relying on footage after incidents occur. The design includes a heuristic structurer that converts video observations into structured event logs, enhancing the efficiency and consistency of the language model's outputs, and it features a custom React frontend for improved user interaction. Despite challenges like the need for GPU for audio synthesis and a limited context window for long recordings, the project demonstrates a significant step towards real-time, autonomous security monitoring for small businesses.

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