Utilization and verification of digital images and AI in bridge inspection

Abstract

The advent of sophisticated photographic technology and artificial intelligence (AI) for the identification of cracks and other defects from image data has led to the partial implementation of bridge inspections combining digital images and AI as an alternative to close visual inspection for reinforced concrete bridge piers and slabs. The present paper reports the results of the use of digital images and AI in two bridge inspections: an inspection for cracks on reinforced concrete slabs to improve the efficiency of bridge span inspections where inspection time is limited, and an inspection for corrosion on steel members to improve the efficiency of pedestrian bridge inspections where traffic control is required. The paper also reports on the benefits and points to be noted in the use of digital images and AI obtained from these efforts.