Purdue researchers have created a technology to help prevent dust explosions. The technology uses an image- and video-based application using OpenCV algorithms that detect explosible suspended dust concentration. The app requires a camera or video recording device to image and determine the suspended dust level, and the app can accurately distinguish the dust from normal background noise. Testing shows that the algorithm successfully recognized 95 percent of sawdust and 93 percent of cornstarch particulates in the air. Purdue University is a public research institution in West Lafayette, IN. To learn more, click here.