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Vehicle Counting Tool Interface Design For Machine Learning Methods

Published: 11 March 2024 Publication History

Abstract

Simulators and software visualization tools can be useful for any research to progress. Similarly, in order to predict vehicle traffic or even to improve the use of existing highway, software visualization tools are also needed. In this research, a custom-made software visualization tool has been developed to obtain automatic vehicle Machine-Method count with better accuracy. The tool's interface design has been tailored to make various repetitive tests easier. For example, repetitive test by varying constants, parameter values and making resultant visualization (using two displays) of the detection available for further investigation. The tool can be started from either Windows or Linux operating system environment. The application's front-end uses both Electron and React. It communicates with the Python engine (which uses YOLO and OpenCV through a Python-shell). Playback feature with machine counting process label is also made available. A batch mode is made available to cater continuous counting vehicles from numerous videos or photos in subdirectories generated by CCTV along the highways. Consequently, survey results, such as standard deviations and other statistical tests are presented to show that the software tool has been successfully designed to satisfy ease-of-use in human-machine interface requirements.

Supplementary Material

ZIP File (KT1-059-Benny-Hardjono_appendix.zip)
Appendix

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    ICIT '23: Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City
    December 2023
    266 pages
    ISBN:9798400709043
    DOI:10.1145/3638985
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 11 March 2024

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    ICIT 2023: IoT and Smart City
    December 14 - 17, 2023
    Kyoto, Japan

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