Case Study | ±0.2 mm Recognition Accuracy: First Public Case of Transfer Technology Epic Eye Pixel Mini

Recently, Transfer Technology’s 3D industrial camera Epic Eye Pixel Mini, paired with composite robots, delivers superior point cloud imaging accuracy in eye-in-hand scenarios, greatly improving operational precision and task success rates.

01 3D Vision + Composite Robot

Lightweight composite robots require ultra-compact, lightweight yet high-precision 3D industrial cameras to adapt to complex and confined working spaces while ensuring production efficiency and stable quality. This makes miniaturized, high-precision 3D cameras the ideal solution for narrow and complex robotic operations.

02 Technical Highlights

The Epic Eye Pixel Mini features a compact size of 130×59×73 mm and a light weight of 0.8 kg — both leading specifications among same-level binocular baseline products currently available.

△ Comparison: Pixel Mini vs. iPhone 14 Pro Max

±0.2 mm Recognition Accuracy

The Pixel Mini achieves a VDI/VDE measurement accuracy of 0.1 mm @ 0.5 m, ranking top in imaging precision among peer baseline cameras. It generates accurate, complete, high-clarity point cloud data for various workpieces, adapting to random stacking, fine surface textures, and moderately reflective surfaces.

In actual customer deployments, the camera maintains stable recognition accuracy within ±0.2 mm. Ultra-high positioning precision improves overall productivity and reduces rework and downtime caused by positioning deviations.

2.5-second Full Vision Scan & Detection

With a minimum 3D point cloud acquisition time of 0.2 seconds, the Pixel Mini outperforms most competing products. In real-world projects, the full scan-and-detection process is completed within 2.5 seconds.

Its ultra-fast sensing capability captures real-time changes in workspace and workpiece poses, providing instant data for robotic adjustment. This ensures timely and precise robot operation, accelerates production cycles, and boosts overall system productivity.