Voice based security system

The world is getting over conscious for their security day by day and for that everyone prefer to have a security system that can provide a system that can only be unlocked by their own identity or natural features. The goal of the project is to implement a system that can provide a useful front end

Project Title

Voice based security system

Project Area of Specialization

Artificial Intelligence

Project Summary

The world is getting over conscious for their security day by day and for that everyone prefer to have a security system that can provide a system that can only be unlocked by their own identity or natural features. The goal of the project is to implement a system that can provide a useful front end to numerous number of security applications.     Secondary emphasis is on reducing the data size required for the successful identification of the user so that data base of thousands of users can be stored in few Mega Bytes of memory (about 2 to 3 Mbs). We will first make dataset of all the authorized users than will train our algorithm on that dataset. After power on person will speak words and system will match these words with the stored one if match then system will allow you to proceed.

Project Objectives

• To design a voice recognition security system.
• To use this system for security purpose.
• To identify the voice password spoken from the authorized person and the system opens when the password is correct.
• To provide user friendly interface.
• To interface voice recognition module with the alarm system.
• To organize the entire system in the dynamic environment.
• To reduce the effects of noise.

To reduce the ambiguity in speaker identification.

Project Implementation Method

• Python will be used for the frontend development side where allthe functions and key components for the project will be built.Which will process all includes the functionality code for MFCC (Mel-Frequency cepstral coefficients).
• Which will help us to identify important components of an audio signal and train a model .
• This feature will be very beneficial for further processing over the analog signal of the audio.
• The input voice from the microphone will be extracted from the actual speech with less background noise and more clear result , the hamming technique to smooth the voice signal by the MFCC.
• The temporary voice is stored in the audio folder.
• Using of Wav audio format is a benefit for us to record high fidelity with the accurate and loss less format.

TOOLS:

• Python
• IBM server
• Text to speech software

PLATEFORM:

Window 10 64bit processor

Benefits of the Project

• The voice pass code is best among all the techniques used for security because everyone have unique voice.
• No sensitive information is connected to the voice imprint.
• It can capture speed mush faster then type.
• We can use text to speech in real time.
• The software can spell the same ability as any other writing tool.

Technical Details of Final Deliverable

• Desktop application will be handed over to the organization for Implementation.
• Post installation support to the Users in organization.
• Establish process for user and systems security.
• Accessibility testing and Black box testing.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Decent Work and Economic Growth

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com