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Zivid 2+
Zivid 2
Software
Get Started
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Get Started
Support
Downloads
Customers
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The world of manufacturing and logistics is undergoing seismic change through innovation. These innovations are not only desirable but necessary. Manufacturing and logistics are moving faster than they ever have, conversely there is a global crisis in labor availability. These new, cutting-edge piece-picking systems must match, and exceed what humans are capable of, and humans have astonishingly good visual systems. Ascent Pick from Ascent Robotics had to be able to correctly identify just about any type of object in a bin, even when wrapped up in shrink-wrap. It was a tough vision-system challenge.
Ascent Pick is a highly adaptive piece-picking system developed for general manufacturing and logistics deployment. It leverages a range of technologies and techniques that can be deemed best-in-class, these include novel AI use, motion-planning strategy, and highly-performant 3D color vision cameras: the Zivid 2 is the machine vision camera of choice.
A flexible, highly performant, piece-picking system for its intended market. The result is a sophisticated marriage of best-in-class technologies including color 3D vision, with the Zivid 2 robot vision camera, novel AI techniques, and motion planning. All things considered, Ascent Pick may just have introduced a system that fundamentally changes the face of piece-picking robotics in the industries mentioned.
Zivid 2 3D color camera offers the most complete and versatile feature package for 3D cameras on the market currently. It is small so it can be mounted on the arm of the robot or stationary.” - Marko Simic, Chief Technical Officer
The Ascent Pick system was integrated with the Zivid 2 color 3D camera mounted in a robot-mounted configuration. A hard requirement was a 3D sensor that had the necessary performance yet was still small and light enough to be mounted on the robot arm without causing any impedance to the arm’s operation. While Ascent Pick can work with various cameras in static or robot-mounted configurations, after consideration the Zivid 2 3D color camera with its performance and versatility was the clear winner. With a weight of less than 1KG, a true industrial build quality to an ISO standard of IP65, fast cycle times and astonishingly accurate color point clouds it stood head and shoulders above the competition for the task.
The Ascent Pick system uses a perception engine for sensing and understanding its environment. The perception engine can estimate object poses with six degrees of freedom and calculates collision-free movement and grasping for target objects. The system is flexible, and performant and it can be integrated with a selection of robots and grippers from various vendors and is compatible with a range of vision systems.
Zivid’s Core SDK was implemented in deployment together with Zivid’s drivers for Robot Operating System (ROS). These were integrated with the TeliCamSDK driver. At Ascent’s R&D center Zivid Studio and Zivid Tools are popular and in frequent development use by Ascent engineers. Ascent Robotics have expressed that for the most challenging applications where the highest precision point clouds are a requirement, the Zivid 2 machine vision camera is the go-to solution for perception and 3D sensing.
The Ascent Pick system represents one of the most advanced system solutions available to the manufacturing and logistics industries for piece pick-and-place. An essential feature of the system is the sophisticated situational awareness it brings to the robot. This situational awareness is dependent upon the robot-mounted paradigm for machine vision. With the Zivid 2 they have a robot vision system that goes wherever the robot arm can reach while still fulfilling all performance requirements. At the same time, it is small, light and unobtrusive allowing the robot arm complete freedom of movement when surveying the scene in front of it.
Ultimately, this cutting-edge system with all its ground-breaking abilities may well represent the future of where piece-picking robotics is headed.
