Architecture of Noninvasive Real Time Visual Monitoring System for Dial Type Measuring Instrument

Noninvasive real time visual monitoring systems are more demanding in the field of automation because of their high reliability, robustness, fast execution time, portability, and flexibility. In this paper, a novel architecture of detection algorithm has been developed to identify the geometrical and statistical features of position of the pointer's image from the captured image of indicating type meters in real time. In our view, a real time visual monitoring system has the following stages: 1) image acquisition; 2) image pre-processing; 3) segmentation; 4) feature extraction; 5) feature matching; and 6) display of result into graphical user interface window along with controlling decision. The geometrical, statistical, and wavelet-based image features were used to recognize the indicated value using feature matching algorithm. Also, the system controller compares the recognized value with the set value of parameters and if, it is found beyond the specified limit, it generates various alarms and controlling or tripping signals for the final control elements.