Analog Meter Digital Reading using Digital Image Processing

Abstract

The modern ways in which the health of most old industrial systems is identified is through continuous monitoring of the various supporting devices that are mostly analog systems. These analog systems need to be kept under a continuous watch to make sure that there are no unnecessary surges in the system. This process requires a lot of trained manpower that needs to observe the meters at repeated intervals and ensure that there is no imminent danger to the power plant. This paper outlines an algorithm that can automatically identify the pointer gauge readings using images captured by a camera. This will help in providing a record of the readings for future reference by deploying an automatic approach based on computer vision and digital image processing.