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Machine Vision is the application of computer vision to industry and manufacturing, involving systems comprising additional components such as image acquisition systems (analogue and digital), input/output cards and actuators

In this application, a machine vision system has been set up to automatically detect defects and damage of industrial nozzles utilised in the Surface Mount Technology (SMT) industry

Dr Fabio Caparrelli and Teks Sarl are working on a new R&D project that aims to realise a camera-based system to monitor the operation of a CNC milling machine.

Over the years, we have developed several techniques for recognising and tracking 2D and 3D objects in real-time. These techniques are able to cope with variability of the lighting conditions, presence of clutter, background texture and general image noise.

One of the main applications of machine vision in industry is in the alignment and positioning of tools that are used in a large variety of tasks.

The Viewfinder project built an autonomous robotic system to establish ground safety in the event of a fire.

A successful completion of a ground-breaking project the GUARDIANS at the Mobile Machine and Vision Laboratory at Centre for Automation and Robotics Research at Sheffield Hallam University

A new project which brings humans and robots together could help firefighters tackle low visibility and, eventually, provide a robotic alternative to guide dogs for visually-impaired people

The I-SWARM project was awarded in December 2003 under the European Union Information Society Technologies (IST) 6th framework programme. It is a follow-up of the MiCRoN project.