Bottle Cap Inspection with Computer Vision

James Gallagher's guide on the Roboflow blog outlines the process of creating a computer vision system for inspecting bottle caps to ensure they are properly sealed before packaging and distribution. The guide walks through setting up a project using Roboflow, gathering and labeling images of bottle caps, generating a dataset, training a model using the Microsoft COCO Checkpoint, and deploying the model with Roboflow Inference. The system is designed to automatically identify sealed, unsealed, and missing caps, allowing for real-time monitoring of defect rates and integration into business processes. The guide also provides resources for expanding the system to other industrial inspection tasks and offers insights into collaborating with AI experts for custom solutions.