Changan Automobile Launches First Visual AI Glue-Brushing Robot at Liangjiang Plant
Overview
Changan Automobile announced the recent launch of its first visual AI glue-brushing robot for painting operations at the Liangjiang factory. The system utilizes a deep convolutional neural network (CNN) to identify optimal gluing points and standardize trajectories, addressing challenges posed by complex body shapes and model variations. After rigorous validation, the robot achieved a risk detection rate and reporting accuracy both exceeding 99.5%, shifting quality control from post-process inspection to real-time process interception. This development eliminated bottlenecks in the PVC coating area, increasing line throughput by approximately 8%.
Generated from attributed reports · Updated 5 days ago
Event evidence and corrections
1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · Reported accuracy: 99.5 percent · Basis not reported
“中国长安汽车首例涂装视觉 AI 刷胶机器人上线,风险识别检出率与报送准确率均超 99.5%”
Exact source · revision 2ithome
Report timeline
Follow attributed reports and material updates.
- IT Home — RoboticsSignalChangan Automobile Launches First Visual AI Glue-Brushing Robot at Liangjiang Plant
Changan Automobile announced the recent launch of its first visual AI glue-brushing robot for painting operations at the Liangjiang factory. The system utilizes a deep convolutional neural network (CNN) to identify optimal gluing points and standardize trajectories, addressing challenges posed by complex body shapes and model variations. After rigorous validation, the robot achieved a risk detection rate and reporting accuracy both exceeding 99.5%, shifting quality control from post-process inspection to real-time process interception. This development eliminated bottlenecks in the PVC coating area, increasing line throughput by approximately 8%.
Event coverage history
Current attention 3·Peak within the comparable range 10(2026-11-05 09:00 UTC)·Change within the comparable range over 24 hours -50%
The trend compares participants observed continuously; its scope may be narrower than current attention totals. Hover or click to explore hourly observations, or use the left and right arrow keys.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).