How to succeed with robot automation using human-like 3D vision
Challenge #1
Separate objects with 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 proper 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 the 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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