Manual visual inspection is tiring, and attention drops over a long shift. For manufacturers of auto components, packaged foods, textiles, pharmaceuticals and electronics, computer vision offers consistent inspection at line speed.
Common use cases
- Surface defects: scratches, dents, stains or cracks
- Assembly checks: missing screws, labels or components
- Packaging: correct label, batch code and seal
- Counting: cartons, pieces or bags on a conveyor
- Safety: helmet and PPE compliance in restricted areas
What a system needs
- Cameras and lighting: consistent lighting matters more than an expensive camera.
- Labelled images: examples of good and defective items.
- A trained model: usually based on established object detection models.
- Edge hardware: a small computer on site so inspection works without internet.
- Integration: a signal to reject defective items or alert operators.
Run a focused pilot
Choose one line and one defect type. Collect a few hundred images, train a model and run it in "shadow mode" alongside human inspectors. Compare results for a few weeks before relying on it.
Measuring success
Track detection accuracy, false rejects (good items flagged as bad) and missed defects. A system that rejects too many good parts can cost more than it saves, so balance sensitivity carefully.
FAQs
Does it work in dusty or hot environments?
Yes, with industrial-grade enclosures and proper camera placement.
How long does a pilot take?
Typically six to ten weeks, including data collection and testing.
Can it read batch codes and expiry dates?
Yes, optical character recognition can verify printed codes.
