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OCR (Optical Character Recognition)

OCR (Optical Character Recognition) refers to a process for automatically recognizing and digitizing printed or handwritten characters from images or documents. It converts text information into machine-readable data, enabling its further digital processing.

OCR is used in logistics to automatically read address labels, shipping documents, delivery slips, or serial numbers. When combined with camera systems, image processing, and AI, information can be captured quickly and immediately transferred to ERP, WMS, or transportation management systems. This reduces manual data entry, speeds up processes, and improves data quality.

Practical example:
At a parcel sorting center, an OCR system automatically reads the recipient’s address and tracking number from a damaged shipping label and transmits the data to the sorting system.

See also: AI-powered object recognition, Barcode scanner, Camera sensors, Data capture, Image processing, Object recognition, OCR-B, Shipment tracking

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