Thermal / Visible Stereo Vision for Electric Power Systems Autonomous Monitoring Systems

Abstract

Thermography is a technique widely used for inspection of electrical equipment's operating conditions. However, its operation, predominantly manual, hampers more reliable diagnosis of component's abnormality indications. This paper presents a straightforward hybrid stereo vision configuration for autonomous monitoring systems that uses images visible and infrared spectrum to identify, characterize and extract regions of interest for increasing metrological quality of thermal measurements. Experimental results show that it is a viable and approach in asset management systems.