Over the past year, “unparalleled levels of developments” had occurred in AI, big data, 3D imaging, and robotic process automation – proving crucial in reducing the risk of error and subsequent product recall, said Industrial Vision Systems director Earl Yardley.
“Machine vision is used for final quality control inspection, but new markets are opening up with the advent of 3D sensors and deep learning utilising AI,” he explained. “Deep learning within machine vision can detect defective parts traditional vision inspection systems cannot see.”
Typical applications in hyperspectral imaging included plastic detection in meat production, Yardley said.
“Meanwhile, developments in automated thermal imaging inspection are allowing manufacturers to spot problems that cannot be seen by eye or standard camera systems, while providing non-contact precision temperature measurement and non-destructive testing,” he added.
There was a 36% increase in allergy and food alerts in the year ending 31 March 2019, according to the Food Standards Agency.