Wild Animal Voice Recognition Using Deep Learning
Objective
To develop a deep learning-based system that can recognize and classify wild animal sounds using voice data. The goal is to support wildlife monitoring and early warning systems through accurate real-time species identification.
Abstract
This project presents a wild animal voice recognition system using deep learning and embedded hardware for real-time detection and prevention of human–wildlife conflict. A microphone captures environmental sounds, and a trained model identifies animal voices. When detected, the system activates a speaker to play deterrent sounds, along with a red LED and buzzer for alerts. The GPS module sends location details through email to authorities for quick response. The system provides a low-cost and efficient solution for wildlife monitoring and safety in forest-adjacent regions.
Keywords: Deep Learning, Animal Voice Recognition, Microphone, GPS, Embedded System.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Specifications
Hardware components:
- Raspberry pi
- Memory card
- Usb MIC
- Buzzer
- Red LED
- Connectors-10
Software requirements:
- Raspbian os
- Python
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
