vanitha, M. Sakthi and Saradha, S. (2022) An enhanced object detection techniques to track an intruder in the forest using IoT. In: RECENT TRENDS IN SCIENCE AND ENGINEERING, 27–28 February 2021, Krishnagiri, India.
Full text not available from this repository. (Request a copy)Abstract
Green Revolution leads to an important factor in the mobile digitalization world. The main objective of this proposed work to protect the forest living being such as trees, animals, and bird, etc.; the protection includes deforestation, safety, and security of the animals, birds, etc.; due to the vast increase of population, forest changes into cities which affected directly or indirectly affects animals, bird. This proposed work mainly focused on protecting the animal, bird, and trees form the human being. This paper describes an enhanced object detection technique to find the forest’s intruder with a built sensor in the camera. It’s connected with SIM 800a Module to send the alert message to the appropriate authorized person. This paper provides an effective result in enhanced object detection techniques to track an intruder in the forest with IoT.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Science Engineering > Machine Learning |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 13 Sep 2024 09:14 |
Last Modified: | 13 Sep 2024 09:14 |
URI: | https://ir.vistas.ac.in/id/eprint/5860 |