Emergency response following acid attack on the junction of Hackney Road junction with Queensbridge Road, London, Britain July 13, 2017 in seen in this picture obtained from social media. SARAH COBBOLD via REUTERS THIS IMAGE HAS BEEN SUPPLIED BY A THIRD PARTY. MANDATORY CREDIT THIS PICTURE WAS PROCESSED BY REUTERS TO ENHANCE QUALITY. AN UNPROCESSED VERSION WAS PROVIDED SEPARATELY.
STOCKHOLM, SWEDEN – During the last century, the world shifted from manual labour to a situation where manufacturing is almost completely automated. Quality control by visual inspection is a task people are quite good at – at least, for a short period of time. It is difficult for people to stay focused for very long, and suddenly they drift off thinking of what to do in the weekend. Computers are quite the opposite. They never take a break, and can focus on the exact same task 24/7 without ever drifting away.
The Irish government is advertising a 4m euro (£3.4m) contract to recruit vets to carry out animal inspections in the event of a no-deal Brexit. Northern Ireland has already recruited additional vets and says further appointments are planned. It remains unclear whether any checks could take place at the Irish border. But EU law says animal products (including livestock) have to be inspected at the point they enter the single market. "We could see a surge in demand for border checks on animals and animal products," says Aurelie Moralis, president of the Northern Ireland branch of the British Veterinary Association.
Visual Inspection is routinely carried out across industry to determine whether a structure, product, component or process meets the specified requirements. Typical examples include the detection of product defects in-service or during maintenance and as point of manufacturing in-process monitoring. Such inspection is usually carried out by a trained individual who has sufficient knowledge and experience to visually identify faults and non-conformant quality and performance. Artificial Intelligence (AI) provides an opportunity to introduce innovation and new technology to the visual inspection process, offering a solution to challenges and requirements. The Centre for Modelling & Simulation (CFMS) has produced a demonstrator that uses a combination of computer vision and AI technologies to automate the manual inspection process.