I036

Pipe Interior Inspection Through Artificial Intelligence Vision-Based Algorithm

Ir. Prof. Dr. Hairul Azhar Bin Abdul Rashid, Khow Zu Jun, Assoc. Prof. Dr. Tan Yi Fei, Ir. Prof. Dr. Hezerul Bin Abdul Karim

AFFILIATION
Faculty of Engineering, Multimedia University

Description of Invention

This project addresses sludges and dirty issue in the industrial pipeline. The solution involves a vision-based AI algorithm using deep learning to measure sludges, determine the location of sludges, aid in pipe disposal decisions, calculate distances from anomalies to the camera, and utilize image unfolding for planar interior views of tubular structures.