Chaozhou Three-Circle
AI visual inspection of multilayer ceramic capacitors
Chaozhou Three-Circle reported 99.5% defect-recognition accuracy for capacitor inspection
Problem
Inspecting multilayer ceramic capacitors required accurate defect recognition at production speed. Manual inspection limited throughput.
Approach
Chaozhou Three-Circle applied AI machine vision to inspect capacitor defects. By February 2026, the company described the technology as deployed across its core production lines. Its subsequent plans for AI-assisted materials development were a separate initiative.
Results
Takeaway
Inspection had reached core production lines before the company expanded its plans into materials development. The reported efficiency comparison was against manual inspection.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Nanfang Plus reported on industrial AI deployments discussed at Chaozhou's development conference. Three-Circle's capacitor inspection reportedly achieved 99.5% defect-recognition accuracy, with inspection efficiency improving 10-fold against manual work.
Full details are in the original sources.