South KoreaManufacturing2026 – ongoingDongil Rubber Belt
AI standardizes rubber vulcanization conditions
Dongil Rubber Belt used sensors and vision AI to standardize rubber curing
Problem
Rubber curing time changed with temperature, humidity and material composition. Experienced workers relied on judgment to adjust the process.
Approach
Dongil Rubber Belt combined IoT sensors with vision AI in its vulcanization process. The system calculated changing conditions in real time to standardize production.
Results
No published figures
Takeaway
The deployment addressed variation in a process previously dependent on experienced workers. No numerical improvement in quality consistency was disclosed.
Categories
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer visionPredictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Press reporting
Sources
Source summaries
Electronic Times described deployed manufacturing AI at several Korean companies. It reported that Dongil Rubber Belt combined sensors and vision AI to improve curing consistency, without quantifying that improvement.
Full details are in the original sources.