“Forest Sound Monitoring System to Detect Illegal Activities Using Machine Learning”

“Forest Sound Monitoring System to Detect Illegal Activities Using Machine Learning”

Mr.A.A.Patel Khan
Department of Computer Technology

K. K. Wagh Polytechnic, Nashik, India

Aditya S. Nigale                                                                                      Tejas R. Nage
Department of Computer Technology                                   Department of Computer Technology

K. K. Wagh Polytechnic, Nashik, India                                  K. K. Wagh Polytechnic, Nashik, India

Piyush D. More                                                                                      Jayesh D.Magar
Department of Computer Technology                                       Department of Computer Technology

K. K. Wagh Polytechnic, Nashik, India                                   K. K. Wagh Polytechnic, Nashik, India

Abstract:-
This project aims at creating an apparatus that utilizes machine learning to create a real-time sound monitoring and analysis apparatus. The ultimate objective is to identify relevant or abnormal sound occurrences and automatically issue warnings. Coming to the present-day, the necessity in intelligent systems that are able to compute the environment such as forests, industries, or limited zones without a human operator on duty at all times is increasing. Under this system, a microphone records the audio data which is then processed to obtain significant features. A trained machine learning model is provided with these features and it is able to classify various kinds of sounds. The system will be programmed to identify high profile events like chainsaw sounds or gun shots, the unusual noise of the machine, or any other suspicious activities. In order to ensure the system is efficient and secure, the system is implemented on a low-power edge device. This guarantees quicker response time and more privacy on the data. The system triggers an alert in the monitoring platform when a certain sound is detected and one can view additional information like the time and the location. On the whole, the project can be useful in following the entire workflow of machine learning, including data collection and model training and deploying it to a real-time process. The end product is a prototype that can be used in providing security, forest safeguarding and industrial safety through intelligent sound monitoring.

Keywords:-
Audio Analysis, Machine Learning, Sound Event Detection, Edge Computing, Alert System, Real- Time Processing.