Manufacturing

We use AI technologies and automated equipment to raise production efficiency and quality.
We analyze equipment data in real time to detect early signs of anomalies, while automated equipment
recognizes product shapes, performs the required processes, and assists workers on the floor.

We connect production equipment, processes, and data systems into one organic whole,
monitoring and managing production status in real time. This increases the efficiency of process operations
and keeps production history and quality data systematically managed.

We apply standardized equipment, work processes, and quality criteria across our global production bases,
minimizing quality variation between sites. We also unify management standards for equipment and spare parts,
improving operations and maintenance efficiency.

We integrate and analyze accumulated equipment and manufacturing data
to detect subtle process changes and trace the causes of problems in products and equipment.
Going further, we predict the likelihood of anomalies and identify and standardize optimal process conditions,
keeping quality stable and improving production efficiency.

AI vision technology scans finished products and determines the presence of quality anomalies in real time based on trained data.
Through continuous data accumulation and learning, we raise the consistency and accuracy of quality inspection
and advance our AI-based quality judgment framework.