Oxford Metrics Acquires Industrial Vision Systems Ltd.

Oxford Metrics has entered into an agreement to acquire machine vision software and systems developer Industrial Vision Systems Ltd. (IVS) in a deal worth £8.1 million ($9.9 million). IVS provides noncontact vision systems — including those supported by AI deep learning — for automated production processes for high-precision quality control, inspection, guidance, identification, measurement, tracking, and counting. Its product portfolio includes 3D and integrated vision systems, machine vision cameras, and sensors.

According to Imogen Moorhouse, CEO of Oxford Metrics, IVS’ offerings replace traditional inspection methods with “smart sensing” technology. Oxford Metrics, itself a developer of smart sensing software for motion measurement, supports customers in the life sciences, engineering, and virtual reality sectors, among others. Its portfolio includes the Vicon dynamic motion sensing platform.

Oxford Metrics acquired Industrial Vision Systems Ltd. in a deal worth $9.9 million. Courtesy of Oxford Metrics.

Both companies are based in Oxfordshire, England. Following completion of the deal, IVS co-founders Earl Yardley and Andrew Waller will continue to lead the business.

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About Industrial Vision Systems Ltd.

Published: November 2023

Glossary

machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
embedded vision: Embedded vision refers to the integration of computer vision technologies into various embedded systems, devices, or machines. Computer vision involves teaching machines to interpret and understand visual information from the world, much like human vision. Embedded vision takes this concept and applies it to systems where the processing occurs locally within the device, as opposed to relying on external servers or cloud-based services. Key components of embedded vision systems include: ...

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