Ravikrishna, S and Subash Kumar, C S and Sharan, V and Sanjay Kumar, V and Logeshwar, S (2023) Elephant Detection and Alarm System Using TensorFlow. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.
Full text not available from this repository.Abstract
Animal attacks are a frequent occurrence, with elephants being prominently involved in these incidents. Elephants, in search of food and water, enter human establishments and crop fields, which will eventually lead to conflicts. Conflicts sometimes end up resulting in the loss of lives on both sides. To prevent these conflicts from occurring, this paper proposes a real-time elephant detection system based on the Regional Convolution Neural Network (RCNN), which is embedded into the Raspberry Pi. If an elephant or an elephant herd is detected in the designated area, an alarm and a notification message will be given to the concerned people. The algorithm has also been compared with other object detection algorithms, such as You Only Look Once (YOLO) and Single Shot Multibox Detector (SSD).
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | C Computer Science and Engineering > Computer Networks |
Divisions: | Electrical and Electronics Engineering |
Depositing User: | Users 5 not found. |
Date Deposited: | 29 Apr 2024 10:47 |
Last Modified: | 29 Apr 2024 10:47 |
URI: | https://ir.psgitech.ac.in/id/eprint/449 |