Mentor Forum
We’re setting up OCR on a factory line, and lighting turned out to be a bigger question than expected. The text we’re reading isn’t fancy, but shadows, glare from metal, and changing daylight all seem to affect results. In some shifts everything works fine, and in others accuracy drops for no obvious reason. I’m trying to figure out how critical lighting really is for industrial OCR, or if modern systems can compensate for a lot of that automatically.
From our trials, lighting plays a huge role, even with specialized tools. When we used https://ocrstudio.ai/industrial-ocr/ , the recognition itself was solid, but consistency came from controlling the environment. Once we added fixed lighting and reduced reflections, accuracy stabilized quickly. The software can handle some variation, but it can’t fully guess what isn’t visible. Investing in proper lighting saved more time than tweaking OCR settings endlessly.
Watching production tech evolve has taught me that hardware and software are always tied together. People often focus on algorithms and forget the physical setup feeding them data. Small adjustments on the floor — like shielding light sources or fixing camera angles — often unlock much bigger gains than any configuration change alone.
