Somewhere on your line, someone is standing at the end of a shift, tired, checking parts by eye. They catch most defects. They also let some through, and reject some good pieces out of caution. A camera that checks every piece at line speed can fix both problems, but it is not the right spend for every plant.
Signs you need this
- You issue credit notes or face returns for defects that are visually obvious — surface marks, missing components, wrong colour, bad joints.
- Inspection is a bottleneck: the line runs faster than a person can reliably check.
- Your inspectors disagree with each other on borderline pieces, or get more lenient near the end of a shift.
- You already have decent, consistent lighting at the inspection point — this matters more than the camera itself.
What a good system does
- Looks at every piece, not a sample, at the speed the line already runs.
- Flags the specific defect type — thickness, joint, surface — not just pass or fail, so operators know what to fix upstream.
- Learns from corrections: when an operator overrides a flag, the system should get more accurate, not repeat the same mistake.
- Keeps a photo record of every rejected piece, useful for the customer disputes that come from a big export order.
What it costs you
Expect the camera and mounting to be the smaller cost. The bigger one is a week or two of tuning: showing the system enough good and bad pieces from your own line, and fixing the lighting so results are consistent shift to shift. Plants that skip the tuning phase get a system that flags too much or too little, and operators stop trusting it within a month. Budget for a person on your side to sit through that tuning period, checking flags against what a trained inspector would have called.
Questions to ask any vendor
- Does it retrain on our parts, or is it a generic model tuned for someone else's product?
- What happens when lighting changes — cloudy day, new bulb, dust on the lens?
- Can an operator override a flag, and does the system learn from that override?
- Who owns the images it captures, and where are they stored?
How we can help
We build camera inspection using Vizhi, our vision model, tuned on your own parts rather than a generic dataset. It pairs well with machine health monitoring on the same line. See what we have built for factories — AI for industry — or talk to us with photos of your own parts.
