Indian Machinery and Transport Equipment Exports - Forecasting with External Factors Using Chain of Hybrid Sarimax-Garch Model
Volume-5 | Issue-2

Enhancing Road Safety: A Driver Fatigue Detection and Behaviour Monitoring System using Advanced Computer Vision Techniques
Volume-6 | Issue-2

Green Lights Ahead: An IoT Solution for Prioritizing Emergency Vehicles
Volume-5 | Issue-3

Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2

Smart Farming: Enhancing Network Infrastructure for Agricultural Sustainability
Volume-6 | Issue-1

Predictive Analytics with Data Visualization
Volume-4 | Issue-2

Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2

Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2

Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
Volume-3 | Issue-2

Split-Capacitor Five-Level Transformerless Grid Connected Single Phase PV System using Level Shifted PWM Technique
Volume-4 | Issue-1

Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3

Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2

Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2

Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4

Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2

Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2

Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4

Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4

Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
Volume-3 | Issue-3

Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3

Home / Archives / Volume-6 / Issue-3 / Article-8

Volume - 6 | Issue - 3 | September 2024

Design and Development of a Real-Time Monitoring System for Highway Road Surface Anomalies Open Access
Mukil Alagirisamy   86
Pages: 311-322
Cite this article
Alagirisamy, Mukil. "Design and Development of a Real-Time Monitoring System for Highway Road Surface Anomalies." Journal of Ubiquitous Computing and Communication Technologies 6, no. 3 (2024): 311-322
Published
14 October, 2024
Abstract

The recent unprecedented increase in highway networks in India has increased the need to maintain safe and smooth roads. The increasing number of road surface anomalies such as cracks, surface irregularities, and anomalies can lead to vehicle damage and accidents. This research work presents the design and development of a real-time monitoring system for detecting anomalies in highway road surfaces. The proposed system utilizes the machine vision model integrated with cameras, sensors, and edge computing to provide timely and accurate alerts for the drivers and also to the road maintenance authorities. The proposed solution is designed specially to work under different environmental conditions and enable large-scale deployment. The output generated from the proposed model is visual feedback of the detected anomalies and its severity analysis, enabling quick road maintenance actions.

Keywords

Image Processing Crack Detection Neural Networks Surface Anomalies Sensors Edge Computing.

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here