Matrox Imaging

Image: Martial Red/shutterstock.com

Zebra acquires Matrox Imaging for $875m

The addition of Matrox Imaging will expand Zebra’s portfolio of vision products after it bought Adaptive Vision and introduced a line of machine vision systems last year

The Matrox Meteor-II PCI frame grabbers, launched in 1997. Credit: Matrox

At the interface between microprocessors and video

This year saw Matrox celebrate its 45th anniversary. Greg Blackman speaks to co-founder Lorne Trottier about the imaging firm’s history

3D vision system nets the right tuna

Matrox Altiz high-fidelity 3D profile sensor powers Tunascan vision system, sorting up to 20 tonnes of tuna per hour with accuracy rates approaching 100 per cent

Both Saccade Vision and Tridimeo are targeting the automotive sector with their 3D vision cameras. Credit: Supergenijalac/Shutterstock.com

Spectral and MEMS take 3D in new directions

Greg Blackman speaks to two young companies with some novel 3D imaging approaches

Active Silicon’s 4xCXP-12 FireBird Coaxpress frame grabber (PCIe Gen3 x8)

Coaxpress gains fibre and 3D support

Chris Beynon, Active Silicon’s CTO and technical chair of the Coaxpress committee, updates on the Coaxpress standard

Deep learning: Its proper role and use in machine vision

This article is brought to you by: 

Deep learning is a key enabler of Industry 4.0 in the manufacturing sector where machine vision is an important contributor. This white paper from Matrox Imaging details how and where machine vision benefits from deep learning technology, and how to get the best out of deep learning for machine vision.

MVTec’s deep learning tool provides means to label data simply and efficiently

Dealing with data

Matthew Dale explores the software to simplify the management and labelling of deep learning data

A point cloud of a National Research Council Canada artefact superimposed on a CAD model. Credit: NIST

Robotics to benefit from 3D vision standard

How do you choose a 3D vision system for a robot cell? Geraldine Cheok and Kamel Saidi at the National Institute of Standards and Technology in the USA discuss an initiative to define standards for industrial 3D imaging

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