Changan Automobile has commissioned its first vision AI gluing robot for painting at its Liangjiang Plant, according to the company's announcement. The robot uses AI visual recognition to pinpoint application locations and optimize trajectories, enhancing production efficiency and quality control in the coating process. The PVC undercoat gluing process faces hurdles including wide variations between vehicle models, tight working spaces, and complex application paths, while traditional robots have struggled with nozzle calibration, angle adjustment, and trajectory fine-tuning. To address this, Changan introduced an AI visual inspection system powered by deep Convolutional Neural Networks (CNN); after hundreds of alignment tests, trajectory debugs, and sealant validations, the system optimizes the robot's coordinates, nozzle posture, and travel paths, adapting to the undercoat gluing requirements of different models. According to Changan, the technology has alleviated bottlenecks in the PVC process, lifting the line's hourly output (JPH) by roughly 8%. The AI vision system monitors the gluing state in real time with millisecond-level response times, and both risk detection and reporting accuracy now exceed 99.5%, marking a shift in quality management from post-production inspection to active process monitoring. Changan has been expanding AI vision technology across production stages, and the Liangjiang Plant had already deployed visual inspection systems for stamping and welding operations.