Coffee Bean Inspection with Computer Vision

Coffee beans undergo several quality checks before packaging, including taste profiling, color verification, and visual inspection for defects like stones and quakers. The text details a guide on constructing a computer vision system to automate visual inspections of coffee beans, focusing on identifying stones. The process involves creating a project in Roboflow, uploading and labeling coffee bean images, and generating a dataset version with preprocessing and augmentation for model training. Once trained, the model can be deployed using Roboflow Inference to run on custom hardware, enabling automated identification of stones in coffee beans. This guide is adaptable for detecting other defects, such as quaker beans, by adjusting the image labeling during model training.