Abstract
This paper describes the design steps of an intelligent segway robot for monitoring an industrial plant, and detecting corrosion and leakages using camera video. The self-balancing inspection robot (SBIR) integrates robotics, embedded control systems, and computer vision based mobile platform for autonomous inspection. The design cycle involves theoretical modeling and empirical analysis to select hardware components and develop a Segway robot platform using a PID control architecture for stable operation in industrial settings. Moreover, a WebSocket-based remote control system allows the operator to control the robot from a distance. The robot is able to detect real-time gas leakages using YOLOv8. The study demonstrates the efficacy of the mobile robots in enhancing safety and efficiency in industrial inspections. The project video can be seen here: https://youtu.be/aieaBv4d5k
| Original language | English |
|---|---|
| Title of host publication | 2024 2nd International Conference on Computing and Data Analytics, ICCDA 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331542573 |
| DOIs | |
| State | Published - 2024 |
| Event | 2nd International Conference on Computing and Data Analytics, ICCDA 2024 - Shinas, Oman Duration: 12 Nov 2024 → 13 Nov 2024 |
Publication series
| Name | 2024 2nd International Conference on Computing and Data Analytics, ICCDA 2024 - Proceedings |
|---|
Conference
| Conference | 2nd International Conference on Computing and Data Analytics, ICCDA 2024 |
|---|---|
| Country/Territory | Oman |
| City | Shinas |
| Period | 12/11/24 → 13/11/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- PID control
- Segway robot
- computer vision
- corrosion detection
- industrial inspection
- leak detection
- manufacturing process monitoring
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Artificial Intelligence
- Computer Science Applications
- Decision Sciences (miscellaneous)
- Statistics, Probability and Uncertainty
- Computational Mathematics
- Health Informatics
- Education