TY - GEN
T1 - Barrelyzer
T2 - International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
AU - Rivadeneira, Franco
AU - Godinez, Diego
AU - Carcausto, Daniela
AU - Ruiz, Sebastian
AU - Ivazeta, Bruno
AU - Quiroz, Diego
AU - Balbuena, Jose
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Maintaining confined spaces such as 10 cm barrels and pipes is a challenging task to perform without the use of intelligent systems. However, these devices are high-priced and require special training for the operators. Hence, the present paper proposes the design of a low-cost cannon barrel inspection robot. An important factor to consider in the design is the rifling of the cannon barrels. As a result, the robot was implemented and able to navigate on a simulated environment through rifling, measuring the position of the robot with an error of 4% with a confidence level of 99% and detecting defects using Convolutional Neural Networks with an F1-Score of 82.70% using AdamW optimizer.
AB - Maintaining confined spaces such as 10 cm barrels and pipes is a challenging task to perform without the use of intelligent systems. However, these devices are high-priced and require special training for the operators. Hence, the present paper proposes the design of a low-cost cannon barrel inspection robot. An important factor to consider in the design is the rifling of the cannon barrels. As a result, the robot was implemented and able to navigate on a simulated environment through rifling, measuring the position of the robot with an error of 4% with a confidence level of 99% and detecting defects using Convolutional Neural Networks with an F1-Score of 82.70% using AdamW optimizer.
KW - Artificial Intelligence
KW - Computer Vision
KW - Inspection System
UR - http://www.scopus.com/inward/record.url?scp=85213958302&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-69228-4_35
DO - 10.1007/978-3-031-69228-4_35
M3 - Conference contribution
AN - SCOPUS:85213958302
SN - 9783031692277
T3 - Lecture Notes in Networks and Systems
SP - 531
EP - 545
BT - Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies
A2 - Garcia, Marcelo V.
A2 - Gordón-Gallegos, Carlos
A2 - Salazar-Ramírez, Asier
A2 - Nuñez, Carlos
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 6 November 2023 through 10 November 2023
ER -