IDS case study: AI brings order to label diversity
Vision AI Label Reader automates label capture and ensures process reliability
Goods-in operations in the electronics industry are under increasing pressure: components from a wide range of manufacturers arrive with varying label layouts, multiple languages and ever shorter throughput times. What was once manageable manually is quickly becoming a bottleneck. Damaged barcodes or reflective packaging further complicate data capture.
A solution is provided by the Vision AI Label Reader from collective mind GmbH. This AI-based system automates the capture and interpretation of item information – regardless of layout, language or code type. The result is greater process reliability, improved data quality and more efficient workflows. Image data is supplied by a uEye CP industrial camera.
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