In the wave of industrial automation, traditional manufacturing is confronted with dual constraints: efficiency bottlenecks and precision limits. Particularly within automotive component manufacturing, stacked box workpieces are troubled by surface reflection, while manual loading and unloading frequently leads to scratches and part damage. Transfer Technology leverages AI+3D vision technology to tackle these challenges. We deployed an intelligent loading & unloading system for a leading automotive OEM’s Xi’an facility, realizing a dual breakthrough in precision and operational speed.
01Project Solution: Dual-Station Collaborative Intelligent Manufacturing
Targeting mixed-line production of aluminum boxes and wooden separators, the project adopts an innovative eye-in-hand dual-station solution:
• Hardware Configuration: The robotic end-effector mounts the Epic Eye Pixel Mini 3D camera, capturing accurate pose data of tapered pin holes and large separators;
• Closed-Loop Workflow: Inbound tray positioning → dynamic 3D scanning → real-time AI motion planning → vision-guided box picking → separator stacking & recovery, fully unmanned operation;
• Performance Indicators: Recognition accuracy <±0.2 mm, gripping accuracy <±0.5 mm. Single scan and algorithm computation takes only 2 seconds, and the system cycle time is controlled within 3 seconds.
02Core Technical Challenges
Sub-Millimeter Precision Mating
The fixture inserts a 10 mm tapered pin into pin holes with 0.2–0.5 mm tolerance, demanding exceptional stability for visual positioning.
Recognition of Large, Easily Deformable Thin Plates Wooden separators suffer from shape distortion. The system must calculate the pose of two diagonal control points within 5 mm tolerance.
Cycle Constraints for Dual-Station Coordination
One single camera serves two robotic stations alternately for box handling and separator handling, while resisting continuous vibration on site.
03Technical Breakthrough Solution
Combining self-developed 3D industrial cameras and proprietary AI algorithms, Transfer Technology delivers an end-to-end robotic picking solution:
High Anti-Interference Dynamic Imaging
The camera integrates a self-developed phase compensation algorithm to suppress vibration from robot motion and ambient light noise, ensuring high-quality point cloud reconstruction of tapered pin hole features.
Dual-Mode Adaptive AI Algorithm
• Boxes adopt single-shot positioning; AI filters background noise from trays;
• Separators apply dual-diagonal verification; point cloud fusion offsets errors caused by workpiece deformation.
04Delivered Customer Value
Consistent Quality Improvement
The assembly pass rate of box pin holes reaches 99.9%, eliminating fixture scratches and collision damage; separators are picked without deformation or cracking.
Elevated Production Efficiency
Single-station cycle time stays within 3 seconds to support nonstop 24-hour manufacturing.
Outstanding Flexible Expandability
The vision platform supports mixed production of boxes and separators and allows fast calibration for newly added product variants.
From manual visual judgment to precise motion control guided by 3D vision, Transfer Technology relies on full-stack strengths spanning hardware, algorithms and system integration to lift the benchmark for precision manufacturing automation. As sub-millimeter perception technology expands across multiple industries, the era of error-free smart manufacturing is arriving faster than ever.
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