This paper presents a fast and low cost methodology for thermal / visible stereo vision system calibration with high reliability for non-controlled external environments. The proposed methodology uses a non-powered calibration rig to map the coordinates, field of view and magnification distortions from visible and thermal vision and a self-calibration analysis procedure to estimate metrological uncertainty of imaging correspondence. Tests were conducted to determine the effectiveness of the developed calibration rig. 

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.