Robotic piece picking is the process of automated order fulfillment, by picking various individual items (SKUs) from an inventory bin and place them in an order container for shipping to customers. The choice of the vision system, particularly the 3D camera, impacts the robot’s ability to successfully detect, pick, and place all types of pieces. Learn how to increase SKU coverage using your Zivid 2 machine vision camera - without compromising on speed.
Zivid 2 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 2 with its groundbreaking trueness, enables more demanding place operations. Dimensioning of objects, and placing for packaging with known position and orientation, with minimal gaps and tight fit, and without colliding or damaging the objects.
Work faster. Zivid Two delivers significantly higher quality at much faster speeds than typical stereo 3D cameras used in piece picking today. Capture speeds <100ms for low to medium dynamic range scenes of some typical material handling items in a picking warehouse.
Piece picking and bin picking are still a challenge for robots. The detection and picking of unknown SKUs of various shapes, sizes and materials is still one of the biggest problems in logistics. Unpickable objects goes under many terms, such as “uglies” or “pathologicals”, and the difficulty stems from the inherent uncertainty in physics, perception, and control.
Zivid 2 provides high resolution and precision point clouds with minimal occlusion, capturing shapes and sizes with all the fine details.
Point cloud example with Zivid 2 - Randomly arranged, densely packed and thin objects. View in 3D here.
3D HDR and Artifact Reduction Technology (ART) ensures excellent suppression of imaging artifacts from reflections, interreflections, specular highlights and high contrast transitions.
Get some tips on how to deal with highlights and shiny objects →
Point cloud example with Zivid 2 - Plastic wrapped objects. View in 3D here.
The unique combination of native color and high dynamic range enables imaging of a broad range of SKUs
Point cloud example with Zivid 2 - Wide variety of objects. View in 3D here.
Increasing e-commerce operation efficiency with 24/7 3D vision robots.
Learn More →Detect, select, classify, and pick any food components in a short time.
Learn More →A comprehensive bin-picking solution that is flexible, intuitive, and easily adaptive.
Learn More →Zivid brings
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