South KoreaManufacturing2025 – ongoingShinheung Machinery
Vision AI monitoring of electric-vehicle outer-can press forming
Shinheung Machinery reported a 65% lower process defect rate after AI monitored press extraction failures
Problem
Extraction failures during aluminum outer-can forming damaged dies and repeatedly stopped production. The failures also created safety risks.
Approach
Shinheung Machinery worked with Codevision to introduce vision AI for its electric-vehicle component presses. The system analyzed press video and IoT sensor data in real time. When it detected an extraction problem, it raised an alarm and stopped the equipment.
Results
Takeaway
The system connected defect detection directly to a machine stop. The reported improvements came from the manufacturer's own operating data.
Categories
- Size
- Small business
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
The manufacturer described a Codevision partnership to detect extraction failures during press forming. It reported a 65% reduction in defects, 10% higher hourly output and 49% shorter equipment repair time. It did not state the measurement period.
Full details are in the original sources.