Manuscript Number : SHISRRJ2472104

Triple Ride Detection

Authors(2) :-N. Bhavana, P. Prakash

Traffic law violations are a typical occurrence in a country with a large population like India. Accidents brought on by these infractions result in significant losses in terms of life and property. Because bikes are used so often, there are also more bike-related accidents than there are with other types of vehicles. Strict adherence to the law and ongoing traffic monitoring are required in order to reduce the number of accidents and traffic volumes. Finding the Triple Riding is the main goal of this endeavor. The YOLO (You Only Look Once) algorithm, which is based on deconvolutional neural networks, is used to identify triple riders. The algorithm determines if a vehicle violates rules by classifying it as a rule-breach vehicle or not in order to detect the amount of people riding bikes. The data is gathered by the traffic signal surveillance cameras, which serve as the data gathering center.

Authors and Affiliations

N. Bhavana
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
P. Prakash
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Mishaps, Strict enforcement, Monitoring, Triple Riding, Deconvolutional neural network, YOLO algorithm, Detection, Surveillance cameras, Traffic signals, Data analysis

  1. Coco model and yolo algorithm: https://appsilon.com/object-detection
  2. NumPy and cv2: yolo-algorithm
  3. https://www.w3schools.com/python/numpy/numpyintro.asp
  4. https://www.geeksforgeeks.org/python-opencv-cv2-imread-method/ 

Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 526-530
Manuscript Number : SHISRRJ2472104
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

N. Bhavana, P. Prakash, "Triple Ride Detection", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.526-530, March-April.2024
URL : https://shisrrj.com/SHISRRJ2472104

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