TELKOMNIKA Telecommunication, Computing, Electronics and Control
Applying artificial intelligence for the application of bridges deterioration detection system

Dublin Core

Title

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Applying artificial intelligence for the application of bridges deterioration detection system

Subject

Convolutional neural networks, Deterioration detection, Embedded system, Firebase cloud, Image processing

Description

Recently, advances in sensor technologies, data communication paradigms, and data processing algorithms all affect the feasibilities of the bridges structural health monitoring and deterioration detection, and other implementations of monitoring operations. The paper proposes a method to design an irregularity detection and monitoring system for road bridges that combines internet of things (IoT) and artificial intelligence (AI) technologies. Raspberry Pi 4 embedded computer integrating IoT and AI technology with convolutional neural network (CNN) is employed to simultaneously monitor remote bridges on websites and apps via Google Firebase cloud database. The first step of successful testing in the laboratory showed that the system can work stably and coincide with the proposed goals.

Creator

Xuan-Kien Dang, Le Anh-Hoang Ho, Xuan-Phuong Nguyen, Ba-Linh Mai

Source

DOI: 10.12928/TELKOMNIKA.v20i1.20783

Publisher

Universitas Ahmad Dahlan

Date

February 2022

Contributor

Sri Wahyuni

Rights

ISSN: 1693-6930

Relation

http://journal.uad.ac.id/index.php/TELKOMNIKA

Format

PDF

Language

English

Type

Text

Coverage

TELKOMNIKA Telecommunication, Computing, Electronics and Control

Files

Collection

Vol. 20, No. 1 2022

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Xuan-Kien Dang, Le Anh-Hoang Ho, Xuan-Phuong Nguyen, Ba-Linh Mai, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Applying artificial intelligence for the application of bridges deterioration detection system,” Repository Horizon University Indonesia, accessed March 10, 2025, https://repository.horizon.ac.id/items/show/4260.