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A computer vision system for automatic reading of measurement devices analogical displays which do not have a digital communication interface is proposed. This system could be applied for the automation of these devices calibration processes or in other assays in which repetitive readings are done by man. It is expected a reduction in time spent and costs involved and an achievement of accuracy and uncertainty at least equivalent to those attained in human readings. The approach is based on the comparison between the pointer slope and the display device scale marks slope. In a first step the scale marks are identified and a reading value is attributed to each mark from three captured images and some assumed known data as the number of scales, the number of the main marks per scale and the corresponding values associated with these main marks. Then, in a second step, an reading value is attained to each new captured image through the interpolation between the calculated slopes figures and the associated marks reading values. An reading uncertainty analysis shows that considering the studied instruments and the employed devices (camera and lens) the automatic reading is consistent with the human reading and the uncertainty could be eventually improved. Several automatic reading tests were carried out. The results confirmed the expectations of uncertainties and the meaningful error rate was about only one per cent revealing the methods robustness to real application.

Leitura automática de dispositivos mostradores analógicos de instrumentos de medição utilizando visão computacional.