Package Counting and Inspection with Computer Vision

James Gallagher's guide, published on the Roboflow blog, outlines the process of creating a package inspection system using computer vision, specifically for counting objects like screws in a package. The guide details the steps to train a custom model using the Roboflow platform, beginning with creating a project, uploading and labeling image data, and then generating a dataset. It explains how to train the model, test its accuracy, and deploy it using Roboflow Inference, with an example focusing on counting screws in an image. The system's flexibility allows for the identification and counting of various objects, such as nuts and bolts, and can be adapted to changing processes and products without altering hardware. This approach leverages computer vision's ability to run multiple checks and improve over time with additional data, offering a robust solution for manufacturing and logistics.