The document discusses the use of hand gesture recognition technology to improve communication between deaf and dumb individuals and normal people, highlighting that approximately 360 million people globally face communication challenges. It details the system's components, including a camera, controller with OpenCV, and output devices like speakers and LCD displays, which allow for accurate gesture recognition and speech-to-text conversion. The conclusion emphasizes that this low-cost solution can significantly enhance communication for those in need.

1. By
Manu . D 2nd ECE
Manu . K 2nd ECE

2. Introduction
 Normally Hand Gesture sign language is the tool which
is being used by the deaf and dumb to communicate.
 Hand Gesture Recognition will be useful in a
communication between dumb and deaf person and
normal person.
 This system works under Video Processing technology.

3. Present challenges for dumb and deaf people
 In our society we have people with disabilities.
 About 360 million people in the world are deaf and dumb
 Communications between deaf-mute and a normal person
have always been a challenging task.
 Sign language helps deaf and dumb people to communicate
with other people.
 But not all people understand sign language.

4. Tools used
 Camera (input device)
 Controller or PC with OpenCV interface (Processor)
 Mic and LCD Display (Output Device)

5. Deaf Sign Language

6. Basic Block Diagram of communication between
deaf and dumb person and normal person
Arduino or PC with
OpenCV interface
CameraInput Sign Processor
Output
Speaker
LCD DisplayLCD Display
ABCDA
B
C
Voice to
Text
converter
(BitVoicer)
DEAF and DUMB People
Normal People
Input Text
Mic
D

7. OpenCV
 OpenCV (Open Source Computer Vision) is a library of
programming functions mainly aimed at real-time computer vision.
 It can read and Write image and video.
 It can process image.
 It can detect Geometrical shapes.
 Gestures Recognize and more…
 It can support languages such as JAVA, PYTHON, C++.

8. Sample Working of OpenCV

9. Arduino and PC
 It interface camera and OpenCV Program in order to
recognize the gestures.
 In this system OpenCV is used to process the input
from the with the algorithm which we program in the
using c, c++, python.
 We write the Program in the way machine learning to
create a ability to recognize the gesture accurately.
 And the output will send to the output devices

10. Output
 Speaker
 We use normal speaker to deliver the output from the
processor as a voice output.
LCD Display
It is the visual output which display the output from the
processor

11. Normal Person to Dumb and Deaf
 The controller convert the speech signal into text. And
it can be done by BitVoicer and arduino .
 Finally it will send the output to the LCD Display.
 In this method the normal person need to give a input as a
voice to the mic. The mic will sense and convert it to
electrical pulse and that will send to the controller. And the
controller will convert it into text format.
 Finally it will display it
in the LCD display

12. Conclusion
 By using OpenCV we can achieve this with high
accuracy and fast as well it low cost ever now.
 Around the world 360 million people are dumb and
deaf around the world.
 We can give a easiest solution and every
needed person can use it.

13. Thank You