In the wave of industrial automation, traditional manufacturing faces dual challenges: efficiency bottlenecks and limitations in precision. This is especially true in the automotive parts sector, where multi-layer stacked housings introduce strong reflective interference, and manual loading and unloading often result in scratches and damage.
To break through these constraints, Transfer Technology has delivered an AI + 3D vision solution for a leading automotive manufacturer, enabling an intelligent system that delivers both speed and sub-millimeter accuracy to new heights.
01 Project Solution: Dual-Station Collaborative Automation
To support mixed-line production of aluminum motor housings and wooden dividers, the solution features an innovative dual-station robotic setup with "eyes on hand" design:
Hardware Configuration: The robot arm is equipped with Transfer Technology's Epic Eye Pixel Mini 3D camera, accurately capturing the poses of conical pin holes and large-size dividers.
Closed-Loop Workflow: Pallet positioning > dynamic imaging > real-time AI algorithms computation > robotic picking of housings > divider recovery and stacking. The entire process is fully automated, without manual intervention.
Performance Highlights: Recognition accuracy < ±0.2 mm Picking accuracy < ±0.5 mm Full image capture and algorithm processing in 2 seconds per cycle Cycle time compressed to under 3 seconds
02 Technical Challenges
Sub-Millimeter Precision Fit
The housing fixtures must insert conical pins with diameter of 10 mm into pin holes with a tolerance of just 0.2–0.5 mm, requiring extremely stable and accurate visual localization.
Robust Recognition of Large Thin Panels
Wooden dividers are prone to deformation. The system must calculate the poses of two diagonal corners within a 5 mm accuracy.
Dual-Station Synchronization
A single camera must serve one robot for two workstations (motor housing and divider tasks), while resisting vibrations and environmental noise on the production floor.
03 The Solution
Powered by in-house developed 3D cameras and AI algorithms, Transfer Technology delivers a full-cycle intelligent picking solution:
Robust Dynamic Imaging The camera features a built-in phase compensation algorithm that effectively suppresses vibration and ambient light interference, ensuring high-fidelity point cloud reconstruction of conical pin features.
Dual-Mode Adaptive Algorithms
> For motor housings: one-shot imaging with AI-driven filtering to remove pallet background noise.
> For wooden dividers: a dual-diagonal verification mechanism combined with point cloud fusion to eliminate material deformation errors.
04 Customer Value: A Leap in Both Efficiency and Quality
Quality Upgrade:
·99.9% success rate in pinhole alignment
·Zero scratches from fixture handling
·Divider picking with no deformation or damage
Efficiency Boost:
·Single-station cycle time reduced to under 3 seconds
·Each station completes a full cycle in under 3 seconds
·Supports 24/7 continuous production
Flexible Scalability:
·The system supports mixed-line production of housing and dividers
·Future-ready for rapid adaptation to new product specifications
From manual visual judgment to precise 3D vision-guided control, Transfer Technology is redefining automation in precision manufacturing with advanced "Hardware+Algorithms+System". As sub-millimeter recognition technology scales across industries, the era of zero-defect intelligent manufacturing is arriving faster than ever.