SensoPart Inc. Product
SensoPart is a leader in advanced photoelectric sensors and machine vision, offering compact, high-performance VISOR® sensors and intuitive software. Our solutions enable precise detection, measurement, and positioning for factory automation, making the digital factory of the future a reality.
Product filed under:
Collaborative, Image Sensors, and Robots Collaborative, Image Sensors, Robots, Sensors, and Vision Systems
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The expert sensor for robotics applications - Thanks to VISOR® Robotic, components that are fed in a universal tray
Typical VISOR® Robotic
Expectations of today’s robotics solutions are steadily rising in the context of Industry 4.0, paired with a simultaneous desire for greater ease-of-use. And this is precisely where the VISOR® Robotic demonstrates its outstanding ability. Available in several versions, the vision sensor offers the perfect solution for a variety of automation tasks. Designed with integrated and standardised interfaces, VISOR® Robotic can be easily incorporated in existing installations and systems, and thanks to different calibration methods and flexible data structures, it is also suited to a diverse range of procedures.
Scope of detectors according to the application:
- Advanced: To solve common image-guided robotics applications
- Professional: Extended scope of functions for identification, enhanced calibration methods and localisation in 3D
Highlights
- Calibration methods tailored to the application
- Target Mark technology provides 3D object poses in no time
- Simplified installation through 3D grip point transformation
Vision Systems Design 2020 Innovators Award
VISOR® Robotic was recognized among the best in machine vision today by the judges of the Vision Systems Design 2020 Innovators Awards program. The judging panel consisted of esteemed experts from system integrator and end-user companies.
The same award was won again by SensoPart in 2022.
Learn more here: Vision Sensor VISOR Robotic | sensopart.com
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Accurate and high-speed detection of the subtlest differences in color and grey values as well as non-colors.