Study on implementation of shape video recognition on an USV platform

This project is based on a video recognition prototype intended for use in Naval Forces missions. The study involves multiple tests on different methods of recognition. It starts with objects and face recognition and goes to something that is more complex than the incipient stage, more exactly military ships recognition and classification. All these concepts work through the Raspberry Pi module. The recognition of objects at sea is a very important step for the evolution and efficiency of military operations. Also, it has a significant role in the integration of modern systems that use equipment based on algorithms much more technically advanced than the current ones.

Authors

Publication Details

Journal
Scientific Bulletin of Naval Academy
Published
2024-12-30
DOI
https://doi.org/10.21279/1454-864x-24-i2-018
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Study on implementation of shape video recognition on an USV platform

Ovidiu Cristea
Scientific Bulletin of Naval Academy
Industrial Vision Systems and Defect Detection
article

Study on implementation of shape video recognition on an USV platform

Ovidiu Cristea
article en

Abstract

This project is based on a video recognition prototype intended for use in Naval Forces missions. The study involves multiple tests on different methods of recognition. It starts with objects and face recognition and goes to something that is more complex than the incipient stage, more exactly military ships recognition and classification. All these concepts work through the Raspberry Pi module. The recognition of objects at sea is a very important step for the evolution and efficiency of military operations. Also, it has a significant role in the integration of modern systems that use equipment based on algorithms much more technically advanced than the current ones.

Scientific Bulletin of Naval AcademyVol. XXVII(2)
Openalex Percentile: Top 56%
Industrial Vision Systems and Defect Detection
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Study on implementation of shape video recognition on an USV platform — Ovidiu Cristea · Scientific Bulletin of Naval Academy (2024) | TGRS Research Map | TGRS