REAL TIME MOTORCYCLE IMAGE DETECTIONS AND ANALYSIS

Authors

  • Mohd Ali Mat Nong Materials Processing and Technology Laboratory, Institute of Advanced Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Author
  • Roslina Mohd Sidek Department Electrical and Electronics Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Author
  • Suzila Sabil Kolej Komuniti Jelebu, Jalan Seperi, Kampung Chempedak, 71600 Kuala Klawang, Negeri Sembilan, Malaysia Author
  • Rosiah Osman Functional Devices Laboratory, Institute of Advanced Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Author
  • Juraina Md Yusof Materials Processing and Technology Laboratory, Institute of Advanced Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Author

Keywords:

detection system, object recognition, bounding box, motorcycle, edge detection

Abstract

This research investigated image tracking and edge detection for motorcycle in various lighting and weather conditions. The capability in different resolution and threshold level also evaluated. Comparison between hardware and software implementation of edge detection also been made. Develop framework showed great accuracy is segmentation of plate number from motorcycle image in daylight condition compared to rainy daylight and night condition. The aim of this project is to develop framework for motorcycle image detection and recognize for traffic offender. Analysis with histogram level and contrast stretching method showed performance in hardware is improved rather than software.

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Published

14-08-2025

Issue

Vol. 26 No. 2 (2018): Solid State Science and Technology

Section

Articles

License

Copyright (c) 2018 Mohd Ali Mat Nong, Roslina Mohd Sidek, Suzila Sabil, Rosiah Osman, Juraina Md Yusof (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.