Monitor Assembly Line Throughput with Computer Vision

James Gallagher's guide, published on July 25, 2024, explores how to use computer vision and Roboflow Workflows to monitor the throughput of an assembly line without writing code. The process involves configuring a system that accepts image or video inputs and sets a maximum capacity for products in view, using a trained object detection model to identify items like milk bottles. The system utilizes a low-code platform to create logic that determines if the detected product count exceeds the set limit, indicating potential blockages or imbalances in the assembly line. Users can visualize model predictions with bounding boxes for performance assessment and deploy the system via the Roboflow cloud or on edge devices. This approach allows for efficient monitoring and troubleshooting of assembly line processes.