4D Active and passive thermography measurement system using a KUKA KR16 robot and time-of-flight imaging

Abstract

Despite the fact that most thermography research is still based on 2D imaging techniques, researchers are investigating the true power and calibration of thermal imaging in three dimensions [1,2]. In our research multi-camera systems are built up around time-of-flight sensors [3][4][5], used to capture the geometric shape of the test object. The measurement setup and methodology we propose includes an industrial KUKA KR-16W robot which makes it possible to scan the object from multiple viewpoints and adds time as an extra 4 th dimension during the passive thermography experiments. This automated system helps to compensate the influence of directional emissivity [6].

3D Temperature Distribution Model Based on Thermal Infrared Image

“…Recent technical developments apply thermal infrared image (2D images) onto spatial information (3D images) to obtain 3D temperature distribution model. Three-dimensional space information can be acquired through various 3D scanning methods, such as omnidirectional vision [3], structured light technology [4,5], time-of-flight [6], and binocular vision technology [7]. Stereo vision technology can be classified into active or passive technology according to light conditions.…”