Food and Beverage

Food and Beverage Case Code Reading

Read codes and date lots on case packaging against varying backgrounds

The In-Sight D900 reads challenging codes on various food and beverage packages

관련 제품

VisionPro ViDi Product Tile

VisionPro Deep Learning

딥러닝 기반 산업용 이미지 분석을 위한 그래픽 프로그래밍 환경

In-Sight D900

In-Sight D900

In-Sight ViDi 딥러닝 기반 비전 소프트웨어로 작동

Consumer food and beverage products such as ice cream, beer and other items increasingly distinguish themselves by case printing design customized in response to season, special events, new product formulations, time-limited promotions, and market targeting. Such products have date, lot code, and other specific tracking codes printed on the cases that need to be read to manage the supply chain.

Unreadable codes lead to supply chain problems, incorrect deliveries, inadequate supplies of required product, and consumer dissatisfaction.

To reliably read the characters, conventional optical character recognition (OCR) must be programmed for each specific case background. As backgrounds proliferate and change more quickly this programming task imposes significant delays, as well as leading to increased errors.

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Cognex Deep Learning reads printed codes on challenging backgrounds. The Deep Learning OCR tool is easily set up and deployed thanks to a pretrained font library. It then trains on a small set of images of text printed on a variety of backgrounds and can learn to identify text while ignoring background, even when text is presented on a newly introduced background that was not part of the original training set. That the OCR tool does not require retraining when text appears on novel backgrounds keeps the production line working without any interruption or reduction in read accuracy.

Food and beverage cases are reliably routed to the designated customers, regardless of changes in package design.

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