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Zivid is a market-leading, pure-play provider of industrial 3D color cameras and vision software used in industrial and collaborative robot cell development. Its Zivid One+ and Zivid Two products are regarded as the world's most accurate real-time 3D color cameras and bring human-like vision to the smart factories and warehouses of Industry 4.0. With over two decades of in-house R&D and in-depth expertise in optical sensors, 3D machine vision hardware, and software, Zivid enables customers to boost detection, picking, and placing of parts in a range of applications, including random bin picking, pick-and-place, assembly, packaging, and machine tending. The Zivid One 3D color camera received numerous awards for its technical features, point cloud quality, and design implementation. Awards include "Top Innovation Award" by inVISION Magazine, "Gold Innovators Award" by Vision Systems Design, Red Dot's "Product Design" award.

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Zivid artifact reduction technology for shiny and reflective bin-picking applications

POSTED 01/19/2021

In-field correction and calibration boards.

Even if your Zivid 3D camera is rugged and designed for industry-grade operation, unfortunate situations like a drop or crash can affect the output.

Supported by dedicated Zivid calibration boards, the new in-field correction available in SDK 2.2 makes it possible to perform verification and trueness error correction.

You can use a stationary or on-arm robot setup to capture the checkerboard and instantly verify camera trueness. If necessary a correction can be computed and written to the 3D camera. Core tasks can be run without the need for additional coding.

After installation, you can run `ZividExperimentalInfieldCorrection` on your command-line to get started.

Zivid 3D in field calibration board 1

Here's a typical procedure using in-field correction from assembly and mounting to correction using 2 captures:

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Zivid in-field calibration boards can be bought directly from the official webshop.

Stripe vision engine - it's art!

Zivid's 3D color cameras use structured light technology to create high-quality point clouds. The default vision engine is "Phase". The new "Stripe" vision engine provides additional patterns and Artifact Reduction Technology (ART).

Stripe is optimized for interreflection suppression in e.g. random bin-picking applications. Besides, Stripe can be used to improve image quality when capturing point clouds of shiny or reflective objects or chrome-plated parts.

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Using C++ as an example, you can specify which Zivid Vision Engine you want to use like this:


Zivid Studio.

In addition to support for the new Stripe vision engine, Zivid Studio gets several new features.

In the information side panel you can now find point cloud settings, resolution, and capture time. If you open a .zdf-file, you can find serial number, model, and SDK version info.


Additional improvements include the possibility to adjust Gamma.

New shortcuts for faster workflows are also available. Use "Shift+I" to open the new information panel and press "M" to enable and disable meshing.

Other great stuff!

We listened to your feedback and have squashed several bugs since last time. For SDK 2.2, this includes an issue where the firmware could hang after a while, as well as a crash after subsequent exceptions thrown from capture() when using Ubuntu 16.04.

Embedded Vision This content is part of the Embedded Vision curated collection. To learn more about Embedded Vision, click here.
Vision in Life Sciences This content is part of the Vision in Life Sciences curated collection. To learn more about Vision in Life Sciences, click here.