How to inspect eyeglass lenses with computer vision

How can an optical lab use computer vision to inspect eyeglass lenses?

A camera station with controlled lighting looks at each lens after coating or edging and flags scratches, pits, coating streaks, bubbles, chips on the edge and dust or residue for a person to check. Each flag is saved with a photo and the job number, so repeat problems point back to a machine or coating batch. A trained lab technician decides every pass or remake, and the usual power checks, lens meters and the final check by the optician stay in place.

What this means in practice

A camera with controlled backlight and side light takes pictures of each lens after the coating, edging or cleaning step, on both sides and around the edge.
The model is trained on the clients own lenses and coatings. It flags scratches, pits, coating streaks or crazing, bubbles, chips or rough spots on the edge, and dust, smudges or residue that need another clean.
Each flag is saved with a photo, the job number, the step and the time, so the lab can see if one machine, coating batch or cleaning step keeps causing the same problem.
A trained lab technician checks every flagged lens and decides whether it passes, gets cleaned again or is remade. The camera only sees lenses, and no patient details are shown on screen beyond the job number.
Start with one step and one lens type, compare the camera flags with what the technicians find for a few weeks, and keep the existing power checks, lens meters, frame fitting and the final check by the optician in place.

How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

--- title: "How to inspect eyeglass lenses with computer vision" description: "A camera station with controlled lighting looks at each lens after coating or edging and flags scratches, pits, coating streaks, bubbles, chips on the edge and dust or residue for a person to check. Each flag is saved with a photo and the job number, so repeat problems point back to a machine or coating batch. A trained lab technician decides every pass or remake, and the usual power checks, lens meters and the final check by the optician stay in place." url: https://lidvizion.ai/answers/how-to-inspect-eyeglass-lenses-with-computer-vision/ site: Lid Vizion index: https://lidvizion.ai/llms.txt --- [Direct answers](https://lidvizion.ai/answers/) # How can an optical lab use computer vision to inspect eyeglass lenses? A camera station with controlled lighting looks at each lens after coating or edging and flags scratches, pits, coating streaks, bubbles, chips on the edge and dust or residue for a person to check. Each flag is saved with a photo and the job number, so repeat problems point back to a machine or coating batch. A trained lab technician decides every pass or remake, and the usual power checks, lens meters and the final check by the optician stay in place. ## What this means in practice - A camera with controlled backlight and side light takes pictures of each lens after the coating, edging or cleaning step, on both sides and around the edge. - The model is trained on the clients own lenses and coatings. It flags scratches, pits, coating streaks or crazing, bubbles, chips or rough spots on the edge, and dust, smudges or residue that need another clean. - Each flag is saved with a photo, the job number, the step and the time, so the lab can see if one machine, coating batch or cleaning step keeps causing the same problem. - A trained lab technician checks every flagged lens and decides whether it passes, gets cleaned again or is remade. The camera only sees lenses, and no patient details are shown on screen beyond the job number. - Start with one step and one lens type, compare the camera flags with what the technicians find for a few weeks, and keep the existing power checks, lens meters, frame fitting and the final check by the optician in place. ## How Lid Vizion approaches it We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place. ## More on Automation & custom AI - [How can a shoe or boot maker use computer vision to inspect finished footwear?](https://lidvizion.ai/answers/how-to-inspect-footwear-with-computer-vision/) - [How can a machine shop use computer vision to inspect machined parts?](https://lidvizion.ai/answers/how-to-inspect-machined-parts-with-computer-vision/) - [How can a mattress or furniture maker use computer vision to inspect upholstered goods?](https://lidvizion.ai/answers/how-to-inspect-mattresses-and-upholstery-with-computer-vision/) [Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/) Talk it through ## Have a version of this question inside your company? Bring the decision, the constraints, and what a good outcome looks like. [Talk through the decision](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fanswers%2Fhow-to-inspect-eyeglass-lenses-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)

What this means in practice

How Lid Vizion approaches it

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