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Design and Development of System for Identification of Vehicle Seat Vacancy

G. S. Gawande1 , K. O. Gurbani2 , A. N. Dolas3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-8 , Page no. 1-5, Aug-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i8.15

Online published on Aug 31, 2019

Copyright © G. S. Gawande, K. O. Gurbani, A. N. Dolas . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: G. S. Gawande, K. O. Gurbani, A. N. Dolas, “Design and Development of System for Identification of Vehicle Seat Vacancy,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.8, pp.1-5, 2019.

MLA Style Citation: G. S. Gawande, K. O. Gurbani, A. N. Dolas "Design and Development of System for Identification of Vehicle Seat Vacancy." International Journal of Computer Sciences and Engineering 7.8 (2019): 1-5.

APA Style Citation: G. S. Gawande, K. O. Gurbani, A. N. Dolas, (2019). Design and Development of System for Identification of Vehicle Seat Vacancy. International Journal of Computer Sciences and Engineering, 7(8), 1-5.

BibTex Style Citation:
@article{Gawande_2019,
author = {G. S. Gawande, K. O. Gurbani, A. N. Dolas},
title = {Design and Development of System for Identification of Vehicle Seat Vacancy},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2019},
volume = {7},
Issue = {8},
month = {8},
year = {2019},
issn = {2347-2693},
pages = {1-5},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4778},
doi = {https://doi.org/10.26438/ijcse/v7i8.15}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.15}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4778
TI - Design and Development of System for Identification of Vehicle Seat Vacancy
T2 - International Journal of Computer Sciences and Engineering
AU - G. S. Gawande, K. O. Gurbani, A. N. Dolas
PY - 2019
DA - 2019/08/31
PB - IJCSE, Indore, INDIA
SP - 1-5
IS - 8
VL - 7
SN - 2347-2693
ER -

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Abstract

In this proposal, face detection algorithm is developed to detect the number of faces present in a vehicle and corresponding to the detection system gives the count of the people. The images are captured using the webcam, which is installed in a vehicle and connected through a raspberry pi model B. As the vehicle leaves the station, the camera captures the images of the passenger in a seating area. The system is based on real-time application the camera will continuously capture the images and the count is also continuously modified. Then images that are captured are pre-processed via improved and adjusted to reduce the noise using software application. After pre-processing and post-processing steps are performed the images is send to the server using websocket protocol. The system obtains the maximum number of passengers in vehicle using face detection technology and thus gives the total face count of the passengers.

Key-Words / Index Term

Raspberry Pi, PI Camera, Haar Features, Contrast Limited Adaptive Histogram Equalization, SVM Classifier

References

[1] Janewit Wittayaprapakorn, Thongchai Yooyativong, “Vehicle Seat Vacancy Identification using Image Processing Technique,” IEEE publication, 2017.
[2] Milica G. Kisic1and Nelu V. Blaz, “Detection of seat occupancy using a wireless inductive sensor”, IEEE publication, 2015.
[3] Dwarakesh T P and S Ananda Subramaniam, “Vacant Seat Detection System using Adaboost and Camshift,” International Journal of Electrical and Computing Engineering Vol. 1, Issue. 3, April– 2015.
[4] Paul Viola and Michael Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features,” Accepted Conference on Computer Vision and Pattern Recognition 2001.
[5] SHU Chang, FANG Chi, “Histogram of the Oriented Gradient for Face Recognition,” TSINGHUA SCIENCE & TECHNOLOGY ISSN 1007-0214 15/15 pp216-224 Volume 16, Number 2, April 2011.
[6] Ravinder Kaur , Manvi and Anupama Gupta, “Vehicle’s Driver Face Recognition using Viola Jones and Support Vector Machine,” International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181,Vol. 6 Issue 01, January-2017.
[7] Ole Helvig Jensen, “Implementing the Viola-Jones Face Detection Algorithm,” Technical University of Denmark, ISSN 1601-233X, 2008.
[8] Himanshu Sharma and Sumeet Saurav, “Analyzing Impact of Image Scaling Algorithms on Viola-Jones Face Detection Framework,” IEEE publication, 2015.