Computer Vision

The ability of machines to interpret and extract information from visual data.

Lux logo LUX TAKE:

Computer vision has quickly matured and is being used to successfully address real-world problems in nearly every industry sector. We expect to continue to see rapid adoption of the technology in a plethora of different applications over the next five years; however, the need for large datasets to train computer vision models still poses near-term challenges. In most cases, clients should buy not ...



Data last updated on April 02, 2020

What's New

Lux Research analysts and the Lux Intelligence Engine have added the following recent computer vision developments.

News Commentaries

Robotics take over at MODEX 2020 (March 26, 2020)

Yokogawa acquires Grazper Technologies, provider of a real-time computer vision system that runs deep learning on FPGAs (March 26, 2020)

New Lux Content

Types of product identification tools for anti-counterfeiting (March 31, 2020)

The Digital Transformation of the Consumer Journey (March 31, 2020)

New Patents


Computing...

New Investment Rounds


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Related companies SoftWear Automation, Inc., ZenRobotics, Houston Mechatronics, Prophesee, Orbital Insight, Descartes Labs, Xompass, Pilot AI Labs, Netra.io, Perceptual Robotics, Nauto, Aidoc, Zebra Medical Vision, Megvii, SenseTime, Osprey Informatics, Viewtech Systems, Everledger, Vayavision, AppZen, FluroSat, Recursion Pharmaceuticals , Guardian Optical Technologies, AEye Inc., Observe Technologies, Aquifi, LightMetrics, V-Count, LexSet, Emotibot Technologies, Emotion Research Lab, UVeye, Streamingo Solutions

About Lux Research

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