The quality of light reflectance model mainly depends upon the correctness of cloud of points generated by the high-resolution charge coupled-device (CCD) camera. We have performed an experiment to capture the dimension of an object using Optigo 200 robot which provides an innovative way for solving dimensional control related challenges. The integrated system collects highly accurate and dense cloud of points for measuring an object at different design of experiment (DOE) levels. It also performs immediate analysis of collected data and calculates the deviations from the given specifications. Thus we tried to visualize the object using its key parameters. In this paper, we describe the functional relationship of real-world surfaces with the dependence of light exposure and camera direction. Seven step wedge (as a measurement object) is used in our case study to carry out the stereovision based experiment. Finally, a comparative analysis shows model accuracy over conventional measurement techniques.

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