An Optical Character Recognition (OCR) and Video Coding Solution (VCS) developed by a partnership of Prime Vision and SICK has been installed at a major international airport to solve the challenges of baggage identification rejects.
The application of this knowledge to baggage handling, by Prime Vision, is saving airports significant costs while boosting customer satisfaction.
While significant improvements have been made to laser-based barcode scanning technology, the read-rates have maxed-out at 90 to 94 per cent. As a result, 6 to 10 per cent of baggage is routed to the reject chute or manual handling station, thus requiring extensive staff resources to man fixed manual handling stations.
The Prime Vision-SICK solution reduces the 6 to 10 per cent rejects. It enables the highest reading performance even when barcodes are damaged and dirty, by integrating a 360-degree tag identification system that allows images to be used for OCR and remote VCS.
By integrating Prime Vision-SICK technology to the baggage handling system (BHS), bags are identified while they remain on the baggage handling sorter. Further manual handling is all but eliminated as identification results are reliably improved, saving time and cost.
Primary identification is done via the SICK Airport Luggage Identification System (ALIS) using camera technology. The bag source message (BSM), which includes the date, flight number, destination, registration number and a unique barcode (IATA Licence plate), is read by the ALIS system. Baggage routing is determined by the bagging handling system (BHS) and in the case of a no-read or no-BSM, the baggage tag is processed by OCR and/or remote video coding. Only obscured or unreadable baggage tags are routed to manual handling.