In bulk part picking, recognizing transparent materials, glossy surfaces, small-sized, and thin workpieces poses a challenge. Additionally, achieving high-precision recognition can be difficult under varying external lighting conditions. This article introduces a 3D vision system that accurately detects the contours of workpieces that are difficult for traditional 3D vision systems to identify. It enables the automation of picking and assembly processes without being affected by ambient light.

A 3D Vision System for Stable Recognition of Transparent and Glossy Workpieces

This system accurately recognizes transparent, glossy, and thin workpieces with high speed and precision—areas where traditional image recognition technologies struggle or require more time. Equipped with AI, this 3D vision technology excels in pick-and-place applications, particularly for transparent plastic parts and metallic materials with reflective surfaces.