NextGen Response AI Security SOC
For the current MVP, the AI workflow and computer vision pipeline are simulated using mock AI agents and placeholder detection events. The architecture has been designed to support real-world computer vision integrations such as YOLO, CCTV analytics platforms, ANPR systems, and VMS solutions. While YOLO-based object detection and video analytics integration were planned for the project, they were not fully implemented within the hackathon timeframe. Instead, the platform demonstrates the complete operational workflow that would consume and process those detections: Detection → AI Analysis → Controller Review → Dispatch → Resolution The system is therefore focused on validating the response-management architecture, AI agent orchestration, dispatch workflows, incident management, and camera-health automation. The detection layer has been abstracted so that YOLO or any future analytics engine can be connected without requiring major changes to the platform.
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