The 3rd China International Supply Chain Expo (CISC Expo) officially commenced in Beijing in July 16. Diligine Photonics presented its laser welding online monitoring system at the expo, showcasing advanced manufacturing inspection technology at the international forefront.

As the world's first national-level exhibition with a supply chain theme, this edition of the CISC Expo attracted participation from over 650 Chinese and international enterprises and institutions, with more than 65% being Fortune Global 500 companies or industry leaders. The expo featured six major chains—Advanced Manufacturing, Clean Energy, Smart Automotive, Digital Technology, Healthy Living, and Green Agriculture—along with a Supply Chain Services exhibition area, covering the world's most critical and closely-watched sectors crucial to global economic development.

At this expo, Diligine Photonics' pre-weld control and in-process monitoring systems participated in a demonstration of the laser welding inspection scenario for battery production lines of a top-tier international 3C customer. Empowered by the Laser Focus Sensor (LFS) and the Welding Defect Detector (WDD), the laser welding stations can achieve higher yield rates and more stable process performance.

Furthermore, Diligine Photonics' AI-Integrated Laser Welding Inspection technology was publicly demonstrated for the first time. This technology represents the company's proprietary patented inspection method that deeply integrates AI with photoelectric sensing.

By combining with AI technology, laser welding inspection achieves a more precise, efficient, and intelligent production control loop. At Sunwoda's Apple battery production line, two of Diligine Photonics' AI functions—AI Overkill Reduction (AIOR) and AI Failure Analytics (AIFA)—have been successfully implemented. Working in conjunction with the company's Welding Defects Detection (WDD) system, these applications have reduced the "overkill rate" by 50%, enabling fault traceability, defect predictability, and more stable production processes.