Label Inspection with Computer Vision

Label inspection using computer vision is an automated process that examines product labels for compliance and quality across various industries such as food, pharmaceuticals, and manufacturing. This process involves several key components including high-resolution imaging, proper lighting, and advanced image processing software to detect defects such as misalignment, smudges, or incorrect information. Integration with production lines is crucial for real-time feedback and rejection of defective products. A robust label inspection system performs tasks like verifying label presence, checking orientation, placement verification, and barcode readability. The guide explains how to build these systems using computer vision techniques, highlighting specific steps such as dataset preparation, model training, inference scripting, and the use of Roboflow tools. Additionally, it discusses the detection of printing defects and content verification using OCR technology. These methods aim to enhance quality control and efficiency in labeling processes by ensuring accuracy, readability, and compliance with standards.