The Challenge
Manual inspection was slow and inconsistent and couldn't keep pace with the line, letting defective products through and causing costly recalls.
Our Approach
We deployed deep-learning vision models trained on thousands of defect examples, inspecting every unit in milliseconds with pass/fail decisions at production-line speed.
Results
- 99.2% defect detection accuracy
- Recall incidents reduced to near zero in year one
- 100% of units inspected, not just samples
- Over $1.2M in annual quality-related losses avoided