How to succeed with robot automation using human-like 3D vision
Challenge #1 Separate objects that have similar shape
Zivid One 3D cameras output a full color point cloud, with pixel-wise XYZ + RGB data. This helps you separate similar objects.
Challenge #2 Recognize, Inspect and Categorize
Zivid One provides 2.3 Mpixel output so there's no question about what objects you are looking at.
Challenge #3 Separate objects for handling
Zivid One 3D cameras with HD color RGB point clouds provide you the details and information needed for robots to work with humans, as humans.
Challenge #4 Don’t miss details
Don't miss details by using monochrome 3D scanners or TOF sensors. Zivid provides high-definition, high dynamic range point clouds. Including full RGB color.
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