Animal Detection App

This repository contains two versions of the Animal Detection App:

• CLI Version: Command-line interface for animal detection and SMS notifications.
• GUI Version: Graphical user interface (Tkinter) for user-friendly interaction.

The app uses OpenCV and MobileNetSSD for real-time animal detection and can send alerts via SMS and play a siren sound when an animal is detected.

Installation

Clone the Repository:

git clone https://github.com/yourusername/animal-detection-app.git
cd animal-detection-app

Install the Required Python Packages:

pip install numpy opencv-python imutils playsound twilio

Download the Model Files:

• MobileNetSSD_deploy.prototxt.txt
• MobileNetSSD_deploy.caffemodel

Place the model files in the models/ directory: animal-detection-app/models/ ├── MobileNetSSD_deploy.prototxt.txt ├── MobileNetSSD_deploy.caffemodel

Place the Siren Sound File:

Add your siren file to the assets/ directory: animal-detection-app/assets/ ├── Siren.wav

Usage

CLI Version:

Run the command-line version directly:

main_CLI.py

GUI Version:

Run the graphical version with Tkinter:

main_GUI.py

GUI Features:

• Select Video File: Use the file browser to choose a video file for processing.
• Start Detection: Click the "Start Detection" button to begin analyzing the video.
• Live Alerts: The app will highlight detected animals, play a siren sound, and send an SMS alert if configured.

Customization

Detection Classes:

Modify the REQ_CLASSES list in the code to detect different types of objects. Default:

REQ_CLASSES = {"bird", "cat", "cow", "dog", "horse", "sheep"}

Confidence Threshold:

Adjust the conf_thresh variable to set the minimum confidence level for detection.

Alert Sound:

Replace Siren.wav with a different alert sound by updating the siren_path variable in the code.

SMS Configuration:

Update the Twilio credentials in both versions for SMS functionality:

TWILIO_ACCOUNT_SID = "your_twilio_account_sid"
TWILIO_AUTH_TOKEN = "your_twilio_auth_token"
TWILIO_PHONE_NUMBER = "+your_twilio_phone_number"
FARM_OWNER_NUMBER = "+recipient_phone_number"

Acknowledgments

• OpenCV for providing powerful computer vision tools.
• MobileNetSSD for the pre-trained model used in this project.

License

This project is licensed under the MIT License. See the LICENSE file for details.