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ChinaManufacturing2026 – ongoing

Chaozhou Three-Circle

AI visual inspection of multilayer ceramic capacitors

Chaozhou Three-Circle reported 99.5% defect-recognition accuracy for capacitor inspection

WorkingCompany's own claim

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

99.5%MLCC defect-recognition accuracy reported for Three-Circle's AI inspectionCompany's own claim[1]
10×inspection-efficiency improvement versus manual work, as reported by the companyCompany's own claim[1]

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

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

Source summaries

[1]Nanfang Plus27 Feb 2026

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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