Sensing Dust Concentration Through a Mobile Application

Back to all technologies
Download as PDF
Researchers at Purdue University have developed a mobile phone application using OpenCV algorithms that detect dust concentration. Dust builds up in agricultural and manufacturing settings, causing health hazards to employees, and posing risk of exploding in combination with aerosols. Current technology for detecting dust levels is inconvenient because it is expensive, difficult to install in a workspace, and separates dust matter into multiple filters which must then be weighed and further manipulated for analysis. Sometimes laser scanners are used to detect dust particles, but these devices often report size distribution of particles rather than the actual quantity of particles in a large space. The mobile app created by Purdue University uses a smartphone camera to image and sense dust as well as accurately distinguish it from normal background noise. In testing, the algorithm successfully recognizes ninety-five percent of saw dust and ninety-three percent of cornstarch particulates in the air.

-High speed detection

Potential Applications:
-Particle Science
Mar 2, 2020
United States

Dec 3, 2019
United States
Purdue Office of Technology Commercialization
1801 Newman Road
West Lafayette, IN 47906

Phone: (765) 588-3475
Fax: (765) 463-3486