Traditional OCR systems break on real production lines. Reflections, curved surfaces, low-contrast printing, and product variation degrade reading accuracy. Deep learning OCR handles all of these conditions by learning character shapes rather than matching pixel templates.
Real-world performance
- Speed: 800+ units per minute on aluminium cans, 400+ on curved PET bottles
- Accuracy: 99.8%+ on expiration dates and batch codes
- Character sets: alphanumeric, special characters, multilingual
- Backgrounds: matte, glossy, transparent, reflective
Our Retina AI training interface lets an operator label 20-50 images and train a custom OCR model in under 5 minutes.
Request an OCR demo on your own product samples.