International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Design and Implementation of Smart Animal Repellent System Using IoT and CNN |
|---|---|
| ABSTRACT | The rise of human-wildlife conflict is resulting in substantial agricultural damage, significant economic losses, and serious safety concerns for farmers. Unfortunately, traditional preventative measures to protect crops, like fencing, using scare devices, and manually monitoring crop fields, are often unreliable and do not provide a solution in real-time. In response to this issue, a smart monitoring system that integrates artificial intelligence (AI) and the internet of things (IOT) using the ESP32-CAM module has been proposed. This new smart monitoring system utilizes deep learning, specifically convolutional neural networks (CNNs), to automatically detect and identify animals and humans in real time. Once an animal has been detected, the system will activate a repellent system that emits sound at various frequencies based on the type of animal being detected, and will activate flashing lights to help deter that animal. If a human has been detected, the system will take a picture of that individual's face, and will send an email to the farmer containing the picture for enhanced farm security and surveillance. The system can also send an instant message alerting the farmer via a GSM module. The entire system will run off of a solar panel, providing energy-efficient and continuous operation. This modern agricultural protection solution is automated, reliable, and sustainable |
| AUTHOR | S. MEERA, THATCHAN G, PRAVEENKUMAR V, PRADHEEPKUMAR J, PRAVEENKUMAR K Assistant Professor, Dept. of ECE., Mahendra College of Engineering, Salem, Tamil Nadu, India UG Student, Dept. of ECE., Mahendra College of Engineering, Salem, Tamil Nadu, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404104 |
| pdf/104_Design and Implementation of Smart Animal Repellent System Using IoT and CNN.pdf | |
| KEYWORDS | |
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