IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 117

Article Submitted : 21307

Article Published : 8476

Total Authors : 22301

Total Reviewer : 802

Total Countries : 156

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Automated Road Extraction & Change Detection
Authors Name: Ms. Shinde Kirti P , Ms. Mandale Aarti R. , Ms. Shinde Aditi U. , Ms. Shirtsath Sakshi D. , Mr. S. T. Patil
Download E-Certificate: Download
Author Reg. ID:
IJRTI_206207
Published Paper Id: IJRTI2509069
Published In: Volume 10 Issue 9, September-2025
DOI:
Abstract: This project proposes an IoT-enabled Android application for automated road extraction and condition monitoring using satellite and on-ground imagery. The hardware module employs NodeMCU and ESP32-CAM to capture real-time road surface images, which are uploaded to Firebase for cloud-based storage and processing. A Convolutional Neural Network (CNN), trained in Python and converted into TensorFlow Lite (TFLite), performs feature extraction and classifies road quality into good, moderate, or poor categories. To further enhance decision-making, a questionnaire interface within the app collects contextual data such as traffic load, usage duration, and location information. A Decision Tree algorithm integrates these metadata inputs with CNN outputs, producing a more reliable classification.
Keywords:
Cite Article: "Automated Road Extraction & Change Detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a614-a618, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509069.pdf
Downloads: 0001420
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2509069
Registration ID:206207
Published In: Volume 10 Issue 9, September-2025
DOI (Digital Object Identifier):
Page No: a614-a618
Country: Nashik, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2509069
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2509069
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner