Some machine tending scenarios require inserting or fitting industrial objects like cylinders into a feeding hole or similar, or arrange them in a fixture in a uniform way. This can be difficult to achieve without a high accuracy vision system due to tight tolerances and high accuracy required for both the picking task and placing task.
Zivid Two's high resolution and quality 3D data, combined with true to reality representation of object size, rotation, and absolute position in relation to the robot coordinate system, makes it an excellent fit for machine tending scenarios. Achieve reliable detection of object boundaries and orientations for grasp planning, more accurate picking, avoiding mispicks and crashes, and more accurate placing, without colliding or damaging the parts.
Zivid Two in Machine Tending - KoCo by Kolektor