Towards Autonomous Mobile Inspection Robots Using Edge AI

Ricardo Santos, Mateus Silva, Rodrigo Lucas Santos, Emerson Klippel, Ricardo A. R. Oliveira

2023

Abstract

Recent technological advances have made possible what we call industry 4.0 in which the industrial environment is increasingly filled with advanced technologies such as artificial intelligence and robotics. Defective products increase the cost of production and in such a dynamic environment manual methods of equipment inspection have low efficiency. In this work we present a robot that can be applied in this scenario performing tasks that require automatic displacement to specific points of the industrial plant. In this robot we use the concept of Edge AI using artificial intelligence in a edge computing device. To perform its locomotion the robot uses computer vision with the brand new YOLOv7 CNN and feedback control. As hardware this robot uses a Jetson Xavier NX, Raspberry Pi 4, a camera and a LIDAR. We also performed a complete performance analysis of the object detection method measuring FPS, consumption of CPU, GPU and RAM.

Paper Citation

in Harvard Style

Santos R., Silva M., Lucas Santos R., Klippel E. and A. R. Oliveira R. (2023). Towards Autonomous Mobile Inspection Robots Using Edge AI. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 555-562. DOI: 10.5220/0011972200003467

in Bibtex Style

@conference{iceis23,
author={Ricardo Santos and Mateus Silva and Rodrigo Lucas Santos and Emerson Klippel and Ricardo A. R. Oliveira},
title={Towards Autonomous Mobile Inspection Robots Using Edge AI},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={555-562},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011972200003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards Autonomous Mobile Inspection Robots Using Edge AI
SN - 978-989-758-648-4
AU - Santos R.
AU - Silva M.
AU - Lucas Santos R.
AU - Klippel E.
AU - A. R. Oliveira R.
PY - 2023
SP - 555
EP - 562
DO - 10.5220/0011972200003467
PB - SciTePress