REAL-TIME VEHICLE SPEED DETECTION USING OPENCV AND PYTHON M

Speed detection of vehicle and its tracking plays an important role for safety of civilian lives, thus preventing many mishaps.This module plays a very significant role in the monitoring of traffic where efficient management and safety of citizens is the main concern.In this paper, we discuss about potential methods for detecting vehicle and its speed.Various research has already been conducted and various papers have also been published in this area.The proposed method consists of mainly three steps background subtraction, feature extraction and vehicle tracking.The speed is determined using distance travelled by vehicle over number of frames and frame rate.For vehicle detection, we use various techniques and algorithms like Background Subtraction Method, Feature Based Method, Frame Differencing and motion-based method, Gaussian mixture model and Blob Detection algorithm.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-10-10
DOI
https://doi.org/10.56726/irjmets55939
Citations
1
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
1.14
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article

REAL-TIME VEHICLE SPEED DETECTION USING OPENCV AND PYTHON M

1 citations
International Research Journal of Modernization in Engineering Technology and Science
Vehicle License Plate Recognition
1.14
article

REAL-TIME VEHICLE SPEED DETECTION USING OPENCV AND PYTHON M

article en
1 citations

Abstract

Speed detection of vehicle and its tracking plays an important role for safety of civilian lives, thus preventing many mishaps.This module plays a very significant role in the monitoring of traffic where efficient management and safety of citizens is the main concern.In this paper, we discuss about potential methods for detecting vehicle and its speed.Various research has already been conducted and various papers have also been published in this area.The proposed method consists of mainly three steps background subtraction, feature extraction and vehicle tracking.The speed is determined using distance travelled by vehicle over number of frames and frame rate.For vehicle detection, we use various techniques and algorithms like Background Subtraction Method, Feature Based Method, Frame Differencing and motion-based method, Gaussian mixture model and Blob Detection algorithm.

International Research Journal of Modernization in Engineering Technology and Science
Openalex Percentile: Top 15%
Vehicle License Plate Recognition
1.14
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