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A Paradigm for Object Detection to Recognize and Classify Vehicles Using Computer Vision

Year of publication

2025

Authors

Pitkäkangas, Ville; Kaakinen, Heikki; Tuunainen, Tom; Isohanni, Olli; Jose, Mitha Rachel

Abstract

Computer vision has emerged as a game-changing technology in the mining industry, revolutionizing operations and unlocking various use case scenarios. With increased trade facilities, ports are recognized as one of the most diligent work environments globally. The applications of machine learning and computer vision in ports offer improved security, efficient container management, intelligent traffic management, predictive maintenance, automated operations, and environmental monitoring. These advancements contribute to streamlined processes, cost reduction, enhanced safety, and overall optimization in port environments. This study proposes an approach to detect and classify vehicles in a port during the wintertime in Finland using computer vision and machine learning methods. Due to the high variability between seasons, particularly winter and summer in Finland, there might be a need to categorize images by time of year. The study is developed as a model to detect and classify vehicles in the port area, and the port used in the study acts as an international hub for various trades and industries, including but not limited to chemistry and mining.
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Organizations and authors

Centria University of Applied Sciences

Kaakinen Heikki Orcid -palvelun logo

Isohanni Olli

Tuunainen Tom Orcid -palvelun logo

Pitkäkangas Ville Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

License of the publisher’s version

CC BY NC ND

Self-archived

No

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object]

Publication country

Jordan

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes