Reptile and Rodent Detection System using Artificial Intelligence

In this project presents a Reptile and Rodent Detection System for wildlife reservation areas. The main aim of this system is to detect reptiles (like snakes) and rodents (like rats) in protected forest areas using modern technology. In wildlife reserves, reptiles and rodents can sometimes create problems for other animals, forest staff, and visitors. Early detection helps in preventing danger and maintaining ecological balance. The system uses sensors and a camera to identify the movement of reptiles and rodents. When an animal is detected, the system sends notification. This helps them take quick action without harming the animals. The proposed system is safe, automatic, cost-effective, and easy to install in forest areas. It reduces human effort and improves wildlife monitoring. This project helps in improving wildlife safety, protecting biodiversity, and supporting smart forest management.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-16
DOI
https://doi.org/10.5281/zenodo.19606616
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
0.00
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article

Reptile and Rodent Detection System using Artificial Intelligence

Shraddha Shinde, Harsh Veer, Priti Patil, Mr. N.C. Yadav
Zenodo (CERN European Organization for Nuclear Research)
Wildlife-Road Interactions and Conservation
article

Reptile and Rodent Detection System using Artificial Intelligence

Shraddha Shinde, Harsh Veer, Priti Patil, Mr. N.C. Yadav
article en

Abstract

In this project presents a Reptile and Rodent Detection System for wildlife reservation areas. The main aim of this system is to detect reptiles (like snakes) and rodents (like rats) in protected forest areas using modern technology. In wildlife reserves, reptiles and rodents can sometimes create problems for other animals, forest staff, and visitors. Early detection helps in preventing danger and maintaining ecological balance. The system uses sensors and a camera to identify the movement of reptiles and rodents. When an animal is detected, the system sends notification. This helps them take quick action without harming the animals. The proposed system is safe, automatic, cost-effective, and easy to install in forest areas. It reduces human effort and improves wildlife monitoring. This project helps in improving wildlife safety, protecting biodiversity, and supporting smart forest management.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Openalex Percentile: Top 5%
Wildlife-Road Interactions and Conservation
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