Zivid

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About

Zivid is a Norwegian machine vision technology company headquartered in Oslo, Norway. It designs and sells industrial 3D color cameras with vision software for pick and place robotics. 3D cameras are used in autonomous industrial robot cells, collaborative robot (cobot) cells and other industrial automation systems. The company's primary hardware products are the Zivid Two and Zivid One+ 3D color cameras. They are...

Thomas Embla Bonnerud
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Arild Ulfeng
SVP Engineering
Dara Doherty
VP Supply Chain
Henrik Schumann-Olsen
Co-Founder and CTO
Mikkel Orheim
SVP Sales and Business Development
Øyvind Theie
VP Products
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Product announcement

New Architecture will Revolutionize ROI for Robotic Systems

New Architecture will Revolutionize ROI for Robotic Systems

Last week, I had the pleasure of hosting a webinar on 3D machine vision and on-arm mounting, which is now available on-demand. To elaborate on that discussion, we will now go deeper and discuss the quantifiable ROI of robot automation and specific sensor mounting approaches. The Consensus is Clear: Let’s Automate! In most cases, there is no need to argue the ROI for automating some tasks in warehouses and factories. The benefits are well understood: Increased productivity Increased quality Free up laborers to add value somewhere else in the business https://blog.zivid.com/best-roi-for-robotic-systems

Product announcement

Zivid wins gold design innovators award for on-arm 3D color camera

Zivid wins gold design innovators award for on-arm 3D color camera

Zivid, the 3D machine vision camera company, has been named a Gold Honoree in the 2021 Vision Systems Design Innovators Awards for its industrial Zivid Two on-arm 3D color camera. Judged by a panel of independent experts from system integrator and end-user companies, this annual awards program recognizes the best products in the machine vision and imaging industries. On receiving the award Zivid CEO Thomas Embla Bonnerud said, “The award is recognition of all the hard work we’ve put into producing a second-generation camera that’s specifically designed to support on-arm robot-guided applications. Customers were telling us that they needed a high definition, fast image capture 3D color camera that was much smaller, lighter and more rugged. Zivid Two successfully ticks all the boxes.” https://www.zivid.com/on-arm-3d-vision-robotics

Product announcement

Zivid Two brings human-like vision to pick-and-place robotics.

Zivid Two brings human-like vision to pick-and-place robotics.

Second-generation color 3D camera overcomes limitations in image quality, trueness, and speed for better object recognition, accurate parts manipulation and short cycle times in logistics and manufacturing. https://www.zivid.com/zivid-two Zivid, the pure-play 3D machine vision camera company, has announced its next-generation high-performance 3D color camera suitable for bin-picking, piece picking, and machine-tending applications. Combining advances in 3D precision, artifact suppression, trueness, and capture speed, the ultra-compact Zivid Two camera enables robot cells to handle small, shiny, reflective, and colored objects. Zivid's CEO, Thomas Embla Bonnerud said, "Limitations like resolution, artifacts, and trueness errors in today's vision systems restrict their potential in pick-and-place applications. With the Zivid Two 3D camera, we've taken a giant leap forward in reducing these constraints. Using Zivid Two combined with deep learning, AI, and object detection algorithms, pick-and-place robots can recognize more objects, plan better grasps, and place parts more reliably. It all comes down to this - if your system can see more, it can do more."

Product announcement

Zivid solves fundamental challenges in 3D machine vision.

Zivid solves fundamental challenges in 3D machine vision.

Zivid's enhanced vision engine algorithm effectively removes artifacts for the very first time. https://blog.zivid.com/stop-3d-point-cloud-artifacts Ruben Smits, Co-founder and VP of Engineering at Pickit, an experienced user of Zivid One+ 3D cameras and a trailblazer in vision-guided robot solutions, said, "Abrupt black to white transitions and regions of specular reflections, like those on a shiny metal cylinder for example, have always induced errors in-depth decoding, causing distorted surface images. Zivid's distortion correction filtering rectifies such aberrations, ensuring a truer, more accurate 3D image. We are excited to see that previously impossible machine vision applications are now made possible."

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