Zivid Two enables more reliable detection of object boundaries for grasp planning and a true-to-reality representation of object size, rotation, and absolute position in relation to the robot coordinate system. Essential for accurate picking, avoiding mispicks, and crashes.
Zivid Two, with its groundbreaking trueness, enables more demanding place operations. Placing or inserting more accurately for further processing, with known position and orientation, without colliding or damaging the parts.
Bin picking is still a challenge for robots. Even at large manufacturers, adoption of bin picking stations is low, and at SMEs the number is still close to zero. Unpickable objects are typically complex-shaped, hard to manipulate, entangled, and/or highly reflective machined or polished metals. The difficulty stems from the inherent uncertainty in physics, perception, and control.
Zivid Two provides high resolution and precision point clouds with minimal occlusion, capturing shapes and sizes with all the fine details.
3D HDR and Artifact Reduction Technology (ART) ensures excellent suppression of imaging artifacts from reflections, interreflections, specular highlights, and high contrast transitions.
Zivid Two is ultra-compact with a small baseline and more optimal occlusion performance than larger baseline cameras and scanners. A large baseline gives excessive projector/camera shadowing and loss of scene details, creating holes, and missing data affecting the detection. There's also a risk of missing smaller objects hidden by shadows in the bin, for example, close to corners and edges, especially when picking from smaller boxes.