South KoreaManufacturing2022 – ongoing

SL Corporation

AI analysis of operating conditions for phase-difference inspection

SL Corporation cut inspection-condition analysis from 240 minutes to 10 minutes

WorkingCompany's own claim

Problem

Manual analysis in phase-difference inspection produced different results between operators. Finding defect causes took substantial time and had low accuracy.

Approach

SL worked with JS System through a government-supported regional AI program. They built an AI system to analyze optimal operating conditions for inspection.

Results

10 minutesreported analysis time, down from 240 minutesCompany's own claim[1]

at least 80%reported accuracy in deriving process conditions, at least 80%Company's own claim[1]

at least 25%reported defect reduction, at least 25%Company's own claim[1]

Takeaway

The system addressed variation between operators while shortening analysis. The reported results concerned a specific inspection process.

Sources

[AI 융합, 지역특화산업 디지털대전환 엔진]〈3〉 대구 수송기기·기계소재부품 AI로 생산성 향상
ETNews9 Nov 2022News article

Source summaries

[1]ETNews9 Nov 2022

ETNews described SL's AI inspection-condition analysis system built with JS System. It reported analysis falling from 240 to 10 minutes, condition accuracy reaching at least 80%, and defects falling at least 25%.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026