WEST LAFAYETTE, Ind. – Dust explosions can be among the most dangerous and costly workplace incidents. Dust builds up in agricultural, powder-handling or manufacturing settings, causing hazards to employees and posing the risk of exploding. Researchers at Purdue University have developed an image- and video-based application using OpenCV algorithms that detect explosible suspended dust concentration. The app uses a camera or a video recording device to image and determine suspended dust and to accurately distinguish it from normal background noise
August 5, 2020