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Smart Learning Vehicle Monitoring System
Subject area: Science,Engineering and Technology · Area of research: Software and Automation
Abstract
The Smart Learning Vehicle Monitoring System is an intelligent system designed to improve vehicle monitoring, safety, and learning using modern technologies such as IoT, sensors, cameras, and machine learning. The system collects real-time vehicle information such as speed, location, driver behavior, and surrounding conditions. Image classification techniques are used to identify important road conditions and objects. The collected data is processed and monitored through a centralized system, allowing users to observe vehicle performance and detect abnormal conditions. The proposed system helps reduce accidents, improve driving awareness, and provide useful information for vehicle management. It can be further enhanced with advanced AI, real-time alerts, cloud monitoring, and predictive analysis.
References
[1] Wikipedia. Motor vehicle [Internet]. Available from: https://en.wikipedia.org/wiki/Motor_vehicle
[2] Sousanis J. World vehicle population tops 1 billion units. WardsAuto [Internet]. Available from: http://wardsauto.com/news-analysis/world-vehicle-population-tops-1-billion-units
[3] Wikipedia. List of countries by traffic-related death rate [Internet]. Available from: https://en.wikipedia.org/wiki/List_of_countries_by_traffic-related_death_rate
[4] World Health Organization. Global status report on road safety 2015. Geneva: World Health Organization; 2015.
[5] Nejdet, Abdulhamit S. Traffic accident detection by using machine learning methods. In: International Symposium; 2012 Mar; Bosnia and Herzegovina. Vol. 2. p. 468–474.
How to cite this paper
@article{1723839,
author = {Atkari Shruti Somnath, Uchale Sanika Satish, Shirtar Janhavi Bhushan, Adinath Shankar Satpute},
title = {Smart Learning Vehicle Monitoring System},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {4},
pages = {1537-1541},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1723839.pdf},
abstract = {The Smart Learning Vehicle Monitoring System is an intelligent system designed to improve vehicle monitoring, safety, and learning using modern technologies such as IoT, sensors, cameras, and machine learning. The system collects real-time vehicle information such as speed, location, driver behavior, and surrounding conditions. Image classification techniques are used to identify important road conditions and objects. The collected data is processed and monitored through a centralized system, allowing users to observe vehicle performance and detect abnormal conditions. The proposed system helps reduce accidents, improve driving awareness, and provide useful information for vehicle management. It can be further enhanced with advanced AI, real-time alerts, cloud monitoring, and predictive analysis.},
month = {October},
}