Machine Vision In Intralogistics

Barcodes are a core enabler of automation and innovation in intralogistics. They drive identification, tracking, and routing in warehouses and distribution centers. In practice, however, many systems struggle with hard-to-read codes due to low contrast, damaged labels, challenging surfaces, or unfavorable perspectives.

This white paper shows how typical barcode reading problems in intralogistics can be solved using modern machine vision and image processing libraries that are available today. It explains where barcodes are used, which complications occur most frequently, and how robust algorithms help to ensure reliable code reading in real-world environments.

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