Animal Intrusion Detection Using ESP32 Cam and Open CV

Authors : Dr. Arulmurugan L; Pradeep S; Nikhil Raghav V; Bharath Kumar S P

Volume/Issue : Volume 8 - 2023, Issue 10 - October

Google Scholar :

Scribd :


In forest and agricultural field human and animal conflict is a major problem where enormous amount if resources are lost and human and animal life are endangered. Due to this animal lives are endangered. People lose their crops, cattle and in some extreme cases they lose their lives. In current era of continuously developing IOT sensors and cloud technology, Image processing in remote areas became easy and cheap. To tackle this problem, we have developed a system with cameras and remote cloud server to capture live footage of area to be protected and processing the footage in a live server to detect animal intrusion. For hardware components, we have used ESP32 camera module with Wifi to capture live footages. The captured footage is sent to a remote server or PC for further processing. A yolov5 based pre-trained algorithm is used for object detection. To achieve maximum accuracy the algorithm is trained with thousands of animal photos multiple times until desired accuracy is reached (~98%). The footage is processed and based on the type of animal detected a message or alert is sent to the farmer or forest department from the server and a speaker can be used to scare the animals.

Keywords : Animal Detection, ESP32 CAM, Yolov5.


Paper Submission Last Date
31 - December - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.