Video Analytics with Vision AI

Video analytics with vision AI is an advanced method that utilizes computer vision models to analyze video streams by detecting, tracking, and interpreting objects and activities without human supervision. This approach replaces traditional rule-based systems with trained models capable of answering complex questions, such as whether a package is damaged. The process involves three stages: object detection using an RF-DETR model to locate objects, multi-object tracking with ByteTrack to assign and maintain unique IDs for each object, and multimodal inspection via Gemini 2.5 Pro to assess the condition of each object. This tutorial demonstrates the application of these techniques in an automated conveyor box inspection system, providing real-time quality control in manufacturing environments. The described workflow can be adapted for various industries, including logistics, retail, and traffic management, enhancing efficiency and accuracy in monitoring and inspecting objects in video feeds.

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