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A Vehicle Distance Measurement System Using the License Plate

Published: 29 May 2020 Publication History

Abstract

An objective of this research is to develop a car distance detection system that detects the distance from the license plate, using the color of the license plate for analyzing and detecting the vehicle's rear section, and by designing the system to operate on a smartphone. The system will allow drivers to recognize and maintain the distance between vehicles with better efficiency and safety. The experimental result revealed that the system was able to detect and display the distance between vehicles correctly and accurately, as well as to signal a proximity alarm if the vehicle is approaching a hazardous distance that may cause an accident. Moreover, the researchers found that brightness and the distance of the camera affect the quality of the data processing. In this experiment, the author measured the level of accuracy and efficiency of the car distance detection system which detects the distance from the license plate of the vehicle in the front and the vehicle that follows, the system's accuracy was measured at 95 percent, which was excellent.

References

[1]
Jomsri, P. 2014. Book Recommendation System for Digital Library Based on User Profiles by Using Association Rule. In Proceedings of the Fourth edition of the International Conference on the Innovative Computing Technology (Luton, UK, August 13-15, 2014). 130--134. DOI= http://doi.org/10.1109/INTECH.2014.6927766.
[2]
Eamthanakul, B., Ketcham, M., and Chumuang, N. 2017. The Traffic Congestion Investigating System by Image Processing from CCTV Camera. In Proceedings of the International Conference on Digital Arts, Media and Technology (Chiang Mai, Thailand, March 1-4, 2017). 240--245.
[3]
Office of the National Economic and Social Development Council. Traffic Accident Cases and Damage Value whole Kingdom Year 1998-2018 [online]. Accessed 16 February 2018. Available from http://social.nesdb.go.th/SocialStat/StatReport_Final.aspx?reportid=161&template=1R2C&yeartype=M&subcatid=45
[4]
Jiang, X., Huang, Y. D., and Li, G. Q. 2012. Fusion of texture features and color information of the license plate location algorithm, In Proceeding of International Conference on Wavelet Analysis and Pattern Recognition (Xian, China, July 15-17, 2012). 15--19. DOI=http://doi.org/10.1109/ICWAPR.2012.6294747.
[5]
Shahraki, A. A., Ghahnavieh, A. E., and Mirmahdavi, S. A. 2013. License Plate Extraction from Still Images, In Proceeding of 4th International Conference on Intelligent Systems Modelling & Simulation (Bangkok, Thailand, January 29-31, 2013). 45--48. DOI=http://doi.org/10.1109/isms.2013.98.
[6]
Chen, H. F., Chiang, C. Y., Yang, S. J., and Ho, C. C. 2012. Android-Based Patrol Robot Featuring Automatic License Plate Recognition. In Proceeding of the Computing Communications and Applications Conference (Hong Kong, China, January 11-13, 2012). 117--122. DOI=http://doi.org/10.1109/ComComAp.2012.6154014.
[7]
Liu, H. and Hou, X. 2012. The Precise Location Algorithm of License Plate Based on Gray Image. In Proceeding of the International Conference on Computer Science and Service System (Nanjing, China, August 11-13, 2012). 65--67. DOI=http://dx.doi.org/10.1109/CSSS.2012.25.

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  1. A Vehicle Distance Measurement System Using the License Plate

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    IEEA '20: Proceedings of the 2020 The 9th International Conference on Informatics, Environment, Energy and Applications
    March 2020
    138 pages
    ISBN:9781450376891
    DOI:10.1145/3386762
    © 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    Published: 29 May 2020

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    Author Tags

    1. Distance Detection System
    2. License Plate
    3. Vehicle

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