This document presents a voice recognition security system project. The project uses speech recognition to allow a user to control their Android phone through voice commands even if their hands are unavailable. It aims to keep users safe by recognizing their voice and taking actions. Key features include emergency calling, real-time location sharing, camera snapshots, and low data usage. The project is developed using Python, Kivy framework, OpenCV, and speech recognition libraries. It analyzes voice commands using hidden Markov models and accesses the microphone via PyAudio.

1. PRESENTED BY :-
RATNAKAR PASWAN
B.TECH – COMPUTER SCIENCE & ENGG.
VOICE RECOGNITION SECURITY
SYSTEM

2. INDEX
PROJECT TITLE:- Voice Recognition Security System
 Background
 Objectives
 Features
 Software & Hardware requirement
 Tool & Technology
 Data Flow Diagram
 Future Scope of the Project
 Conclusion

3. BACKGROUND
• This project based on security purpose for any human who
have the android phone . Sometimes in problems we cants able
to touch the phone because of many reason your hands are tie
with rope or any other things happen in that position if you
need the help of anyone you can not call for help but this
project help you out if you are in problem and you want to
control your phone then you have to only speech some
keywords witch you are know and active the microphone and
call for help

4. OBJECTIVES
• This project main objective to keep you safe its offer you to
recognize your voice and take action behalf of that .this project
is very useful for everyone whos' concern about his/her security
• It make you feel secure and this project(app) also have feature
to sends your live location on your chosen phone number when
you call a secret code and many features……

5. FEATURES
• Speech Recognition and calling
(Always mic is enable in background)
• Real time location sharing
• Pattern command
• Emergency calling
• Real time camera snapshot
• Uses low data(Internet)

6. SOFTWARE REQUIREMENT
• Python 2.7, or Python 3.5 or newer.
• OpenGL
• Jupiter notebook(anaconda3)
• PyCharm
Operating System :
Microsoft Windows 10, 8, 7 (for development)
Android (8 and newer)

7. HARDWARE REQUIREMENT
For developing :
• 4 GB RAM minimum, 8 GB RAM recommended.
• 1.5 GB hard disk space + at least 1 GB for caches.
For use:-
• 2 GB ram min
• 1 GB disk space

8. TOOL AND TECHNOLOGY
Tools :-
• PyCharm
• Jypiter
Technology :-
• Python
• Kivy framework
• OpenCV
• Pandas
• NumPy
• Speech Recognition
• PyAudio

9. Python is a general-purpose a high level, interpreted , object-
oriented, dynamically typed programming language that is often
applied in scripting roles.
So, python is programing language as well as scripting
language.
Python is also called as interpreted language .
Python useful for complex application development as it is for
scripting or "glue code" that connects components together.
Python is a universal language found in a variety of different
applications

10. WHAT IS KIVY
• Kivy is a free and open source Python framework for developing
mobile apps and other multitouch application software with a
natural user interface (NUI). It is distributed under the terms of
the MIT License, and can run on Android, iOS, GNU/Linux,
macOS, and Windows.
• Kivy was first released in early 2011. This cross-platform
Python framework can be deployed to Windows, Mac, Linux,
and Raspberry Pi. It supports multitouch events in addition to
regular keyboard and mouse inputs. Kivy even supports GPU
acceleration of its graphics, since they’re built using OpenGL
ES2. The project uses the MIT license, so you can use this
library for free and commercial software.

11. WORKING WITH KIVY WIDGETS
• A widget is an onscreen control that the user will interact with. All
graphical user interface toolkits come with a set of widgets. Some
common widgets that you may have used include buttons, combo
boxes, and tabs. Kivy has many widgets built into its framework
• When you create an application with Kivy, you’re creating a Natural
User Interface or NUI. The idea behind a Natural User Interface is that
the user can easily learn how to use your software with little to no
instruction.
• Kivy does not attempt to use native controls or widgets. All of its
widgets are custom-drawn. This means that Kivy applications will
look the same across all platforms. However, it also means that your
app’s look and feel will differ from your user’s native applications.
This could be a benefit or a drawback, depending on your audience.

12. Running a “Hello, Kivy!” Program
To see how Kivy works, take a look at the following “Hello, World!” application:
from kivy.app import App
from kivy.uix.label import Label
class MainApp(App):
def build(self):
label = Label(text='Hello from Kivy',
size_hint=(.5, .5),
pos_hint={'center_x': .5, 'center_y': .5})
return label
if __name__ == '__main__':
app = MainApp()
app.run()

13. SPEECH RECOGNITION WITH PYTHON
Most modern speech recognition systems rely on what is known as a Hidden
Markov Model (HMM).This approach works on the assumption that a speech
signal, when viewed on a short enough timescale (say, ten milliseconds), can
be reasonably approximated as a stationary process—that is, a process in
which statistical properties do not change over time.
Working With Microphones
• To access your microphone with Speech Recognizer, you’ll have to install
the PyAudio package.

14. PICKING A PYTHON SPEECH RECOGNITION
PACKAGE
A handful of packages for speech recognition exist on PyPI. A few of
them include:
• apiai
• assemblyai
• google-cloud-speech
• pocketsphinx
• SpeechRecognition
• watson-developer-cloud
• wit

15. 0 LEVEL DFD
Security
system
user result

16. 1 LEVEL DFD
User
User details
Details of
commands
Set the
voice
commands
Log
in/registe
r
Allow
permission
Home page
Set the
pattern
Security
system

17. FUTURE SCOPE OF THE PROJECT
• This project is going to be developed in future and in future we
can use a ai to understand the voice of a user and also the ai
can see the user with help of a user it will make the much safe
for a person and is AI can see the user or hear him it can guess
the what action his user do is user try to suicide then it send
the info to nearest person and save its user . These can be
become the future of this project

18. CONCLUSION
• The voice recognition system is the capacity of a device or
program to receive and understand dictation, or to understand
a spoken instruction. The main concept of this project is to
design a voice recognition security system. This project is
mainly used for security purpose to identify the voice spoken
from the authorized person and the system work according to
its instruction
• Personal security is a general condition that occurs after
adequate ef.forts are taken to deter, delay, and provide warning
before possible crime.

19. REFERENCE
• https://www.w3schools.com/ for python
• https://www.geeksforgeeks.org/ for voice modules
• https://kivy.org/ for kivy
• https://pypi.org/ for python package

20. THANK YOU