Aug. 31, 2021
The potential applications of computer vision are nearly limitless: from counting the number of customers in a store to diagnosing complex medical issues. Practically any use case that involves visual data (i.e. images and videos) is suitable for computer vision, with state-of-the-art models often matching or exceeding human performance.
Detecting the spillage of hazardous material would fall under the use case of industrial AIoT (Artificial Intelligence of Things). There are several ways you could detect spillage or leakage, depending on which kind of hazardous material we’re talking about—for example, sensors that can identify certain harmful chemicals in the water or air. If we’re talking strictly about computer vision, however, then there would have to be some kind of camera or other visual surveillance system in place, as well as some kind of noticeable visual change that would indicate a spillage. This could be some kind of defect in the storage containers, a visible drip or puddle, etc.
Formally, in computer vision this kind of use case would fall under one of two subfields: event detection and/or object recognition.