MANHOLE-COVER INSPECTION BASED ON IMAGE PROCESSING FOR A LEVEL DIFFERENCE AND WORN SURFACE

Abstract

 Huge number of manhole covers exists on road surface. Owners of manholes inspect periodically to see a level difference and wear of cover pattern. The current method of measuring level difference and height of the pattern involves the inspector setting up a working zone on the road then using a caliper to take measurements. This method is problematic in that it is necessary to set up a working zone to ensure the safety of the inspector. We propose a safe and efficient method based on image processing for automatically measuring the level difference and detecting worn surface.