Hog Ring Detection with Computer Vision
Blog post from Roboflow
A system for automating hog ring inspection in automotive seat assembly is introduced, utilizing Roboflow Workflows, RF-DETR, and Gemini for effective detection and evaluation. The process involves using RF-DETR to detect and count visible hog rings, a Custom Python block to compare detected versus expected counts, and Gemini for a visual review to flag any installation issues. This automation creates a traceable inspection history through Vision Events, facilitating integrations with Manufacturing Execution Systems (MES) and other platforms for real-time alerts and quality checks. The workflow’s adaptability allows for the integration of fixed production-line cameras and can be customized for different seat models by adjusting expected counts. The system improves quality control by detecting potential defects early in the production process, offering a comprehensive solution that can extend to other fasteners beyond hog rings.
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