Deep Learning Based Animal Detection With SMS And IOT Notification

DOWNLOAD ABSTRACT

AIM:

Design development of Deep learning based Animal detection with SMS and IOT notification.

PURPOSE:

This paper introduces a novel approach to animal detection utilizing Deep Learning techniques, coupled with Short Message Service (SMS) and Internet of Things (IOT) notification systems. The increasing instances of human-wildlife conflicts and road accidents involving animals highlight the urgent need for efficient and timely detection methods to mitigate potential risks and protect both human and animal populations. The proposed animal detection system employs Convolutional Neural Networks (CNNs) to analyse  images and identify animals in their natural habitats or near roadways. The CNN model is trained on a diverse dataset containing images of various wildlife species, capturing different poses, lighting conditions, and environmental contexts. The deep learning-based approach enables the system to achieve high accuracy in detecting different animal classes.

DESCRIPTION:

GSM module and ESP32 cam connected to ESP32 controller serial port. Buzzer connected to ESP32 controller digital pin.

WORKING:

ESP32 camera works based on machine learning algorithms to identify wild animals like elephant, lion, tiger and many more. These animal models trained according respective images.  We used CNN machine learning algorithms to classify wild animal. If wild animal detected then SMS will send to authorised mobile number. Also ESP32 controller sends IOT notification to IOT server.

TECHNICAL SPECIFICATIONS:

HARDWARE:

Microcontroller          :           Arduino uno controller

Crystal                        :           16 MHz

LCD                            :           16×2 LCD display

GSM                           :           SIM800C

Relay                           :           12V DC electromagnetic

Siren                           :           12V DC

H-bridge                     :           L293D

DC motor                    :           5V DC

Camera                       :           ESP32 camera

Power Source              :           12v 1 amp DC adaptor

SOFTWARE:

Arduino IDE

Proteus based circuit diagram

APPLICATIONS:

Advanced animal detection

INTERFACES COVERD:

• We have covered ESP32 controller programming and interface
• ESP32 cam and GSM (SIM800C) programming