Guardian Vision is a modular, AI-based surveillance system that processes live video streams locally and detects predefined events in real time. The system separates AI processing from the control server, which handles configuration, event logging, and a web-based dashboard for monitoring alerts.
Guardian Vision is a real-time, AI-based video monitoring system designed to work with existing camera streams. It connects to RTSP-enabled cameras, processes video locally using computer vision models, and detects predefined events such as specific object presence or activity patterns.
The system follows a modular architecture with two main components: an AI service that handles video analysis and a control server that manages configuration, event logging, and a web-based monitoring dashboard. When a detection occurs, the AI service sends a structured event to the control server, which records it and displays alerts in real time.
Guardian Vision operates entirely on a local network without relying on cloud infrastructure. It is designed to be lightweight, configurable through a central configuration file, and easily extendable to support additional cameras or detection types in the future.