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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
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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Published Paper Details
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| Paper Title: | IoT and Machine Learning Integrated Road Surface Monitoring System Using Raspberry Pi |
| Authors Name: | K Rajeswari , D Nipun Naidu , K Abhishek Kumar , G Madhav Kumar , K Bharath |
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IJRTI_202966
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| Published Paper Id: | IJRTI2504279 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This project presents an IoT and Machine Learning Interconnected Road Surface Monitoring System using Raspberry Pi to enhance road safety and maintenance. The system integrates a USB camera, GPS module, LCD display, IoT connectivity with a mobile application, and a Raspberry Pi controller. It continuously monitors road conditions in real-time using image processing and machine learning techniques. When the USB camera detects a navigable path, the system sends a "Path Detected" alert to the IoT app and simultaneously delivers a voice notification. In case of road damage such as cracks, the system identifies the anomaly and sends a "Crack Detected" alert to the app along with a voice warning. The GPS module tags the location of each detection, allowing for effective tracking and reporting. This intelligent and automated system aims to support road maintenance authorities and drivers by providing timely alerts and improving road safety. |
| Keywords: | Electric IoT, Machine Learning, Raspberry Pi, Road Surface Monitoring, Crack Detection, Image Processing, GPS, Voice Alert System, Real-Time Monitoring, Mobile App Integration, Path Detection, Intelligent Alert System0 |
| Cite Article: | "IoT and Machine Learning Integrated Road Surface Monitoring System Using Raspberry Pi", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c466-c476, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504279.pdf |
| Downloads: | 000307 |
| 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 |
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Published Paper ID: IJRTI2504279
Registration ID:202966
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c466-c476 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504279 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504279 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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