Drain Structural Defect Detection and Mapping Using AI-Enabled Reconfigurable Robot Raptor and IoRT Framework

Drain Structural Defect Detection and Mapping Using AI-Enabled Reconfigurable Robot Raptor and IoRT Framework

Human visual inspection of drains is laborious, time-consuming, and prone to accidents. This work presents an AI-enabled robot-assisted remote drain inspection and mapping framework using our in-house developed reconfigurable robot Raptor. The four-layer IoRT serves as a bridge between the users and...

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Bibliographic Details
Main Authors: Povendhan Palanisamy, Rajesh Elara Mohan, Archana Semwal, Lee Ming Jun Melivin, Braulio Félix Gómez, Selvasundari Balakrishnan, Karthikeyan Elangovan, Balakrishnan Ramalingam, Dylan Ng Terntzer
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
reconfigurable robot
defect inspection
drain inspection
deep learning
computer vision
mapping
Chemical technology
TP1-1185
Online Access:https://doaj.org/article/3f3d9326ccbf421580bce51ec7902033
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https://doaj.org/article/3f3d9326ccbf421580bce51ec7902033

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