Detection of liquid leaks using image recognition in chemical supply and production facilities

Abstract

Liquid leaks are rare, but when they occur they can pose a significant security problem, depending on the escaping medium. Additionally, it requires clean-up work and may lead to delays in production or supply. At the moment, such detections are handled by sensors in or on the pipe. However, leaks are not always registered quickly enough by them, especially if the leaking medium happens only in small quantities. The thesis examines the feasibility of a visual detection approach for liquid leaks by evaluating various algorithms from the Computer Vision library OpenCV.