Windows: 7 / 8 / 10
Linux: Ubuntu 16.04 / 18.04
The Zivid camera is compliant with EN60950, UL950, FCC class A, CE and is also compliant with the IEC60068 environmental standard.
To read about Safety before using the Zivid camera, click here.
Expected service life of the Zivid 3D camera is 50000 hours @ 35˚C. This assumes a typical operating pattern with 500 HDR-captures per hour.
This is not to be mistaken for expected Mean Time To Failure (MTTF/MTBF).
C++, C#, .NET, GenICam/HALCON, Python
Zivd One+ Small: 170 x 140 @ 0.3m and 650 x 480 @ 1.0m
Zivd One+ Medium: 420 x 270 @ 0.6m and 1370 x 900 @ 2.0m
Zivd One+ Large: 850 x 530 @ 1.2m and 2110 x 1360 @ 3.0m
The Zivid camera is designed to work within 10˚C and 40˚C. Using the camera outside this range can damage the camera and void your warranty.
Zivid cameras come pre-calibrated from the factory and are ready to use. Our floating calibration takes temperature and iris settings into account. The point cloud provided by the camera is calibrated, which means that X, Y and Z are correct according to real scenery. There is a pixel to pixel correspondence for the X, Y and Z matrices and the color image.
Hand-eye calibration is used to calibrate the camera to a robot and refers to finding the transformation between coordinate systems. Zivid has an official tool for helping customers with the hand-eye calibration.
It was essential in the picking application for the machine vision camera to be mobile and directly attached to the robot, and Zivid provided all the robustness and physical characteristics we needed.
Michael Vermeer, CEO of Robomotive
Zivid One+ Medium proved itself more than capable of providing the optical performance we needed. In terms of signal to noise ratio, its color acquisition and image resolution, it really is best in class.
Peter Soetens, CEO of Pickit
The ability of the Zivid camera to reliably differentiate parts purely on color, irrespective of ambient light conditions and the nature of the object surface, simply further expands the opportunities for cobot application
Markus Tarin, MoviMED