Combining Infrared Thermography with Computer Vision Towards Automatic Detection and Localization of Air Leaks.

ABSTRACT: This paper proposes an automated system integrating infrared thermography (IRT) and computer vision for air leak detection and localization in end-of-line (EOL) testing stations. This system consists of (1) a leak tester for detection and quantification of leaks, (2) an infrared camera for real-time thermal image acquisition; and (3) an algorithm for automatic leak localization. The python-based algorithm acquires thermal frames from the camera's streaming video, identifies potential leak regions by selecting a region of interest, mitigates environmental interferences via image processing, and pinpoints leaks by employing pixel intensity thresholding. A closed circuit with an embedded leak system simulated relevant leakage scenarios, varying leak apertures (ranging from 0.25 to 3 mm), and

SUBMITTER: Semitela A 

PROVIDER: S-EPMC12157752 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature