Automated Data Comparisons to Enable Stable Character Inspections in the Pharmaceutical Industry

Visual inspections in the pharmaceutical industry include named entity recognition (NER), which is used for accurate data comparisons to ensure that pharmaceutical companies can promptly dispose of expired products. The use of AI in the pharmaceutical industry identifies, verifies, traces, and tracks character codes and data. The AI-powered OCR technology can also ensure the correctness of printed labels, which is especially important in pharmaceutical manufacturing.

The latest deep learning technology is used to read complex and difficult-to-read characters. The automated visual inspection process in pharma guarantees over 98% read rates, with over 97% accuracy in reading errors.

Character inspections for accurate tracking and traceability.

The NER inspection provides an accurate recognition or judgment based on the characters extracted from captured image data using bespoke rigs with high-end machine vision cameras. The bespoke rigs are retrofitted to the existing workflow with minimum disruption.

The AI in pharma solution enables simultaneous reading along with barcodes or 2D codes. To read barcodes or 2D codes only, you can use a barcode reader or a handheld mobile computer. In many cases, however, an expiration date is also marked on the label along with the barcode or 2D code. Character inspection can recognise both codes and characters simultaneously. This visual inspection in pharmaceuticals improves efficiency dramatically because you can read all data simultaneously and manage them together instead of reading each data type separately.