Zivid

Canvas Category Hardware : Sensor Systems : Machine Vision

Primary Location Oslo, Norway

Financial Status VC

Zivid designs and manufactures industrial 3D color cameras for demanding robotic applications. Our high-quality 3D vision and software enable customers to detect, pick, and place parts in bin-picking, piece picking, assembly, machine tending, and packing applications. If your robot can see more, it can do more.

Assembly Line

3D Vision Technology Advances to Keep Pace With Bin Picking Challenges

📅 Date: July 19, 2021

✍️ Author: Jimmy Carroll

🔖 Topics: machine vision, convolutional neural network

🏢 Organizations: Zivid, CapSen Robotics, IDS Imaging Development Systems, Photoneo, Universal Robots, Allied Moulded

When a bin has one type of object with a fixed shape, bin picking is straightforward, as CAD models can easily recognize and localize individual items. But randomly positioned objects can overlap or become entangled, presenting one of the greatest challenges in bin picking. Identifying objects with varying shapes, sizes, colors, and materials poses an even larger challenge, but by deploying deep learning algorithms, it is possible to find and match objects that do not conform to one single geometrical description but belong to a general class defined by examples, according to Andrea Pufflerova, Public Relations Specialist at Photoneo.

“A well-trained convolutional neural network (CNN) can recognize and classify mixed and new types of objects that it has never come across before,”