IDS Inbound receiving operations (aka goods-in) in the electronics industry are under increasing pressure. | ADVERTISEMENT | Countless components from a wide range of manufacturers arrive with constantly changing label layouts, multilingual markings, and ever shorter throughput times. What once could be managed manually has now become a bottleneck. Damaged barcodes or reflective packaging further increase effort and make processes more error-prone. The Vision AI Label Reader from collective mind (COMI) demonstrates how this complexity can be managed. The AI-based image processing system automates the capture and interpretation of item information in goods-in and logistics, regardless of layout, language, or code type. Designed for industrial use, the solution improves process reliability, enhances data quality, and streamlines workflows. A uEye CP industrial camera from IDS Imaging Development Systems provides the image data required for analysis. Fully automated capture instead of manual inspection The Vision AI Label Reader is designed for applications where myriad items, labels, and packaging are processed daily. This makes it particularly suitable for electronics manufacturing service providers as well as companies with complex logistics processes and extensive inventories. One concrete example is Rutronik Elektronische Bauelemente, a leading broad-line distributor of electronic components, where the system is already in successful operation. The goal is to automatically capture all relevant item information and make it available in a structured format. To achieve this, the system recognizes all labels on an object, reads both printed text and 1D and 2D codes, and then interprets the content using artificial intelligence. Handwritten entries can also be processed if required. Crucially, recognition doesn’t rely on predefined label standards. New layouts, languages, or code formats can be handled without retraining—a key factor for scalability and long-term viability. Camera and AI working together A central component of the solution is the industrial camera from the uEye