OCR Lot Code and Expiry Date Verification for Medical Packaging

A vision AI pipeline is presented to improve the accuracy of reading and validating batch numbers and expiry dates on medical packaging lines, addressing the challenges of manual inspections that often miss errors due to varying label layouts and ink density shifts. The process involves training a localization model using Roboflow Workflows to detect and crop the relevant strips, followed by text extraction using Google Gemini, and automated validation of extracted data. This pipeline, applicable beyond pharmaceuticals to various medical device packaging, maintains its structure across different datasets, allowing for integration into manufacturing execution systems to prevent mislabeling and reduce recall risks. The methodology emphasizes the importance of automated verification in maintaining traceability and compliance in medical device manufacturing.