CJ CheilJedang Develops Autonomous Manufacturing AI for Food Plants
CJ CheilJedang joins a government AI Factory program to build physical AI that controls processes, quality and worker safety in food and beverage production.
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giftdetect· the right gift in minutesCJ CheilJedang is developing artificial intelligence for autonomous manufacturing tailored to food and beverage (F&B) production sites. The company said on the 11th that it is taking part in the AI Factory support program run by South Korea's Ministry of Trade, Industry and Resources, representing the food industry.
The project is carried out jointly with OnePredict, IBEX and the Korea Institute of Industrial Technology. Its goal is to link manufacturing data, equipment, processes, quality and safety through AI and raise the level of automation on the factory floor.
Data, process control and quality
The first step is an "AI-Ready" data foundation that connects and analyzes data from different production machines in real time for use in AI training. On top of that, the team will apply AI based on PINN (Physics-Informed Neural Network), which analyzes process characteristics and sensor information together. The AI predicts operating conditions of production equipment and controls processes automatically.
For quality control, machine vision, robots and edge AI will detect foreign matter, damage and packaging defects in real time, and the system will be linked to equipment control. Maintenance will also get AI: a predictive maintenance setup is meant to detect and diagnose signs of failure early and reduce unexpected production stoppages.
Worker safety
Worker safety is part of the development scope as well. Using AI CCTV, the system will detect events such as a worker falling or entering a hazardous zone. When a dangerous situation occurs, the technology will automatically slow down or stop production equipment.
CJ CheilJedang plans not to apply each technology in isolation but to build a physical AI system in which AI perceives and predicts conditions on the production floor, then makes decisions and controls equipment.
Kang Min-su, vice president in charge of production at CJ CheilJedang, said that because changes in raw materials and production conditions directly affect quality in food manufacturing, AI that understands both field data and process characteristics is important. He said the company aims to secure physical AI technology suited to F&B sites to strengthen productivity, quality and safety.
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