Design and Development of Novel Computer Vision-Based Automatic Calibration System for Analog Dial Pressure Gauge

What is it about?

The present study was undertaken to increase the accuracy level of the pointer type pressure gauges. A new automation method is proposed with computers, which helps to calibrate the gauges more accurately than with the naked eye. The indicated value of pressure gauge is obtained with an angular position of the pointer and the error value is identified by comparing both standard and test gauge values. In this work, RGB images of standard and calibrating pressure gauges are acquired via camera. This image is cropped to split the images of both gauges separately and then convert them to grayscale and binary images. The feature extraction is done by selecting an appropriate threshold value. After the image masking and morphological operations, the pointer orientation is identified and the indicated values are calculated.

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