Real-time imaging can help prevent deadly dust explosions

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, as well as accurately distinguish it from normal background noise.