▲ 1 r/computervision
Hi everyone! I’m working on a computer vision coursework project where I need to detect and reliably extract the lot/batch ID and expiration date embossed or lightly printed on pharmaceutical blister packaging (like low-contrast stamped text on reflective foil).
I’ve tested several LLM-based vision tools (Gemini, Opus) and OCR approaches, but the results are pretty inconsistent, especially with faint imprints, glare, and textured packaging backgrounds.
Does anyone have recommendations for:
- Better OCR pipelines for embossed/low-contrast text
- Image preprocessing techniques (contrast enhancement, lighting normalization, edge detection, etc.)
- Traditional CV methods vs deep learning approaches
- Useful libraries, models, or datasets for this kind of industrial packaging text extraction
I’d really appreciate any ideas, workflows, or research directions. Thanks!
u/CriticalCountry7240 — 15 days ago