This paper is concerned with an application of artificial neural network to the real-time detecting system which can inspect the inner walls of pipes. As a regular detector

the BP neural network is used for extracting features of the images inspected and classifying the images in the system

and an improved BP algorithm which was named for BP′is used for making the learning procedure of the net converge to the minimum of overall situation at great rate.