Lector850 – Airport Luggage Identification with Image-Based ATR by SICK

Airport baggage handling systems can span several kilometers, requiring precise sorting and directing of suitcases, bags, and backpacks to their designated loading points. Reliable reading of baggage labels, even when barcodes are partially obscured or damaged, is crucial to ensure luggage reaches its correct destination on time.

The Lector85x image-based code reader offers exceptional scanning performance and high throughput. This compact camera boasts a resolution of up to 12 megapixels, along with an impressive depth of field and wide field of view, combined with powerful computing capabilities. Its design allows for fewer devices and simpler installation at reading stations. With AI-based segmentation, the Lector85x accurately reads codes at conveyor speeds up to 3.5 m/s, ensuring correct code assignment to objects. This enhances identification processes and minimizes the need for manual intervention. The Lector85x can be easily configured via a web server, making it operational in just a few minutes without requiring specialized knowledge.