![]() “What our new system basically does is essentially make the ‘good’ pattern invisible to the detection software,” explained Shelton Vision Managing Director and CEO Mark Shelton. Traditional methods for defect detection rely on human inspection which is ineffective, with detection rates under 65 percent, while the Shelton WebSpector machine vision system offers a sophisticated platform for automated defect detection of more than 97 percent, but until now has been restricted to plain textiles. The Shelton WebSpector machine vision system offers a sophisticated platform for automated defect detection of more than 97 percent. This follows the successful conclusion of a 21-month Innovate UK project in which techniques for the resolution of complex pattern deformations were developed by machine vision and computer scientists in the company, backed up by the machine vision and robotics department at Loughborough University. The patent-pending system has been integrated into the company’s WebSpector platform - already a powerful plain fabric inspection system - and validated through factory trials on a purpose-built full scale in-house demonstration system with sophisticated fabric transport capabilities.Īs a result, a first system has already been ordered by a manufacturer of both plain and patterned fabrics, including camouflage, in Colombia. MANCHESTER, England - SeptemA ground breaking and unique new fabric inspection technique for accurately detecting the most subtle of defects on patterned fabrics during high speed production has been developed by British Textile Machinery Association (BTMA) member Shelton Vision, of Leicester. The patent-pending system has been validated through factory trials on a purpose built full scale in-house demonstration system. ![]()
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