Yolo Model for Durian Theft Detection in Night Vision

DOI

10.2991/978-94-6463-587-4_39How to use a DOI?

Keywords

Deep Learning; Durian Theft Detection; Yolo Night Vision

Abstract

Theft of durians is a prevalent issue in Indonesia, particularly in regions where durians are cultivated. This results in substantial economic losses for durian farmers. Nocturnal robbers who often operate during the night can be detected using night vision technology. The objective of this study is to create a model for detecting durian thieves using Yolo (You Only Look Once) version 8 under night vision settings. The Yolo version 8 model is trained using image and video datasets captured by a night vision camera, specifically targeting durian thieves. The dataset is partitioned into two distinct subsets: the training dataset and the testing dataset. The Yolo model is trained using the training dataset and subsequently assessed using the testing dataset. The results demonstrate that the Yolo model may get a remarkable degree of precision in detecting individuals who steal durians in low-light circumstances using night vision technology. This model can identify individuals who steal durians, regardless of their different body positions and backgrounds. The Yolo model demonstrated its efficacy in detecting individuals who steal durians in low-light conditions using night vision technology. This approach may enhance the security of durian crops and offer timely detection of durian theft.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - I Nyoman Eddy Indrayana
AU  - Gde Brahupadhya Subiksa
AU  - Putu Manik Prihatini
AU  - I Wayan Suasnawa
AU  - Putu Indah Ciptayani
PY  - 2024
DA  - 2024/12/01
TI  - Yolo Model for Durian Theft Detection in Night Vision
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2024 (ICoSTAS-EAS 2024)
PB  - Atlantis Press
SP  - 339
EP  - 348
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-587-4_39
DO  - 10.2991/978-94-6463-587-4_39
ID  - Indrayana2024
ER  -