Survey Paper on Raspberry pi based Assistive Device for Communication between Blind, Deaf, and Dumb People

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1676
Survey Paper on Raspberry pi based Assistive Device for
Communication between Blind, Deaf, and Dumb People
Anusha B Ballary1, Dr. Ganashree T S2
1M. Tech Student, Dept. of Electronics and Telecommunication, Dayananda Sagar College of Engineering,
Bengaluru
2Associate Professor, Dept. of Electronics and Telecommunication, Dayananda Sagar College of Engineering,
Bengaluru
and hearing impairments communicate with one another.
Key Words: Raspberry pi module, LCD, Sign language,
Speaker, Gestures
I. INTRODUCTION
Approximately 6 percent of the population in the world
has a hearing disability. The proportion ofthisdisabilityis30
percent among persons over the age of 65 according to WHO
figures. Deaf people with total hearing loss frequently use
sign language. In this project, a deaf individual can
communicateeffortlessly usinghandglovesthatareattached
to a flex detector which converts the sign language into
speech using a microcontroller, and the text is displayed on
an LCD. At present, the main problem faced bythesedisabled
people is the communication part, to channel their thoughts
to other people. This system will help these people to
overcome this problem by giving them support for
communication. Sign language is used by speechless
individuals for communication purposes. Sign language
transmits messages using symbols, objects, or Gestures. The
gesture is a pattern made by the loops and curvatures of the
fingers.
Speech is the most effective and meaningful way inwhich
wecan share our opinions and feelings.Although,ahugepart
of the global population suffers from speech disorders.
People with vocal disabilities face many difficulties to share
1. A Novel Approach for Communication among Blind,
Deaf, and Dumb People
Rohit Rastogi, Shashank Mittal, and Sajan Agarwal published
in 2nd International Conference on “Computing for
Sustainable Global Development”, 11th – 13th March 2015;
IEEE Conference ID: 35071
This paper is going to concentrate on how to invent a new
device that is useful for disabled people for communicating
effortlessly with other normal people or peopleoftheirtype.
The objective is to develop the technology that can help
individuals who are facing difficulty with blindness or
deafness or speechlessness. So the Sharojan Bridge is
developed and is based on the Wearable Technology in
which the gadget can be worn by the person and thus makes
the system smoothly movable. Here they used
Texas0InstrumentationCircuitryandArduinoCircuit0Board
to transmit messages between disabled people.
2. Communication among the blind, deaf, and dumb
People
B. Buvaneswari, T. Hemalatha, G. Kalaivani, P. Pavithra, A. R.
Preethisree published in International Journal of Advanced
Engineering, Management and Science (IJAEMS)[Vol-6, Issue-
4, Apr-2020] ISSN: 2454-1311
In this project, there are 3 modules: blind module, dumb
module, and deaf module. In a blind module, blind people
will talk through the mic for communicating with other
individuals. In this, they also have an app, in which the blind
can do communication with the specific person in their
contact by making his own gestures. In a deaf module,
anyone can communicate with a deaf person using the
terminal. They can write anything and it is shown on the
terminal page to others. In a dumb module, sign language is
considered a means to communicate.
---------------------------------------------------------------------***-------------------------------------------------------------------
Abstract - Nowadays lack of abilitytospeak, hear, andseeis
a genuine impairment. Those with these disabilities employ
many techniques of communication with others. Theyareable
to communicate in a number of ways, includingsignlanguage.
Each word in sign language has a set of associated motions
that can be utilized to convey a specific message through
human body language. The main goal of this design is to
convert sign language to voice and display through LCD by
understanding human gestures. This is attained using
Raspberry pi, camera, speaker, andLCD module. Consider, that
a dumb person stands and performs in frontofthecameraand
the system converts the gestures into speech and plays it
through the speaker so that the blind can listen to it and the
message is visible on the LCD so that the deaf person can see
it. As a result, this system helpspeoplewithvisualimpairments
their thoughts with other people. This design removes these
difficulties and provides a system for communicating their
message easily and solely and not just in the presence of a
translator.
II. RELATED WORK

3. A Novel Approach to Communication betweenBlind,
Deaf, and Dumb People using flex Sensors and
Bluetooth
Kasi Viswanathan G, Sathya Seelan C, S. Praveen Kumar
published in International Journal of Engineering
&Technology, 7 (3.12) (2018) 485-490
The blind, deaf, and dumb people lack appropriate
communication with others. This system is used to enhance
communication between these disabled people. The idea is
that the flex sensor and Bluetooth using Arduino Board are
used to carry out the communication. Flex detectors are
connected to the Arduino board after being mounted with
the gloves so that they can bend with the movement of the
fingers. The LCD and Speaker modules are attached to the
Arduino, which is programmed with the code to display a
certain message on the LCD if the sensor is crooked and it
gives voice output on the speaker module. The program is
written using the Arduino IDE. The message is also
transmitted through the app in a smartphone and that is
displayed on LCD, it is done by connecting a Bluetooth
module to Arduino. GPS0module is utilized to keep track of
the present location, which is displayed on the LCD.
4. IoT-based Assistive Device for Deaf,Dumb andBlind
People
Karmel A, Anushka Sharma, Muktak Pandya, Diksha Garg
published in International Conference on Recent Trends in
Advanced Computing 2019, ICRTAC 2019
The objective of this paper is to bring a solution that is
simple, quick, precise, and economical. The project
implements a Google0API and Raspberry Pi-based system
for sightless, speechless, and hearing-impaired individuals.
This system allows a blind individual to listen to the audio
which is a result of Image to text and speech conversion. For
a deaf individual, speech is taken as input through the
microphone, and it is converted to text that is shown on the
pop-up window on the screen of the user. The dumb people
are informed to take the input as text through a keyboard
that is visible on the screen, then the text is converted into
speech, and the result is given through the speaker.
5. Communication Assistant for Deaf, Dumb and Blind
Rajyashree, O. Deepak, Naresh Rangaswamy, K.S. Vishal
published in International Journal of Recent Technology and
Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S11,
September 2019
This paper targets on attaining the smart approach for blind
people to listen to the message which is in the form of text
and also sense it in braille which is attained by the device
and the content is converted, then presented as audio. For
those who are deaf, reading text on a screen rather than
audio provides a better reading experience. The dumb can
communicate with normal people using the device which
recognizes sign language and convert it to text that is visible
on the screen and also audio through the speaker. This
system is developed using Raspberry Pi along with a tiny
instrument. This instrument contains a QWERTY console is
connected to, on one side is an LCD display, while on the
other is a 3-cell braille display. A person with normal vision
types something on a QWERTY keyboard. Using their
fingertips on the Braille display, a blind person may now
read the displayed text. The Braille input keys are used to
respond. The message on the LCDmayberead by thesighted
person.
6. Indian Sign Language Translator Using Flex
Sensor Gloves
Amit Singh Chouhan published in - IOSR Journal of Electronics
and Communication Engineering (IOSR-JECE) e-ISSN: 2278-
2834, p- ISSN: 2278-8735. Volume 11, Issue 6, Ver. III (Nov.-
Dec 2016), PP 12-14 www.iosrjournals.org
This paper explains the conversion of Indian sign language
into speech with the help of technology and an
embedded0system. Sign language is the means of
communication that involves the fingers of hands. Using a
flex detector, the captured image is converted to digital data
with the help of a comparator circuit and microcontroller.
They used the signal processing toolbox in MATLAB and it
plays the voice based on the value of the sensor. Flex
detector can detect the 26 English alphabets. The gloves are
mounted with a flex detector at 3 angles to gather the
information from every placement of the finger and hand
movement to distinguish each word from a particular sign.
This is then passed through the microcontroller to the base
station and it produces a voice.
7. Sign Language Detection for Deaf and Dumb Using
Flex Sensors
YasmeenRaushan, AbhishekShirpurkar, VrushabhMudholkar,
Shamal Walke, Tejas Makde, Pratik Wahane published in -
InternationalResearchJournalofEngineeringandTechnology
(IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017
At present the main problem faced by blind, deaf, and dumb
people is, communicating with others, to convey their
thoughts and feelings to others. Ordinary individuals can
grasp and understand newinformation,factsandknowledge
through day-to-day discussions that are going on around
them. People with hearing impairments don't have that
comfort with others. Hence people can make use of this
instrument for communicating with others without any
problem. Flex detector and microcontroller are used for the
execution.

8. Gesture To Speech Conversion using Flex sensors,
MPU6050 and Python
Vaibhav Mehra, Aakash Choudhury, Rishu Ranjan Choubey
published in - International Journal of Engineering and
Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8
Issue-6, August 2019
The main purpose of this paper is to remove or reduce the
communication gap between disabled people and normal
individuals. The approach mainly concentrates on image
processing. The idea is that the wearable glove is used by a
speechless individual which captures signs and they are
converted into voice and text. This system includes an
Arduino board as a microcontroller that is integrated with a
flex detector and accelerometer, a gyroscopic0detector for
detecting sign languages. For better performance, they have
integrated an algorithm for finer illustration of data and to
give precise results. Here they have used python language to
associate the Arduino board with a microprocessorandthen
the text is converted into speech. This framework is gauged
in association with ASL (American Sign Language).
9. Smart Glove for Sign Language Translation Using
Arduino
Bijay Sapkota, Mayank K. Gurung, Prabhat Mali, Rabin Gupta
published in - 1st KEC Conference Proceedings|VolumeI, ISBN
978-9937-0-4872-9 September 27, 2018
Speech is the world's most simple form of communication.
While using sign language to communicate makes it more
challenging for dumb and deaf individuals to converse. For
the average person, it becomes difficult to comprehend. The
project "Smart Glove for Sign Language Translation" intends
to provide a simple means of communication for dumb and
deaf individuals. This project uses a glovewithdetectorsand
sensors to identify various sign language gestures. Arduino
receives the sensor data, which is then communicated over
Bluetooth to an Android phone, where it is used for both
sign-to-voice and voice-to-sign language translation Most
sign language users in real-life use both hands. As a result,
this is a prototype piece that shows how easy it is to
communicate with persons who are deaf or hard of hearing.
10. Sign to Letter Translator SystemusingaHandGlove
Hanine El Hayek and Jessica Nacouzi, Abdallah Kassem,
Mustapha Hamad, and Sami El-Murr published in -ISBN:978-
1-4799-3166-8 ©2014 IEEE
A sign-to-text translation using handglovesisdoneinthis
paper. People with hearing and speaking impairments use
these gloves for communicating with other
people. Characters executed by gloved hands are displayed
on the LCD as alphabetic characters. This glove can be very
helpful, effective, and useful in solving communication
problems that occur between people with and without
hearing problems. It consists of a flexible detector that
captures changes in gestures and a microcontroller that
collects and processes the data and sends each character of
the result to the LCD. Character-to-character translators aim
to facilitate communication between senders and recipients
so that the meaning of the message is properly achieved and
fully understood.
III. PROPOSED METHODOLOGY
In the block diagram above, the entire system is
controlled by an Arm 11 processor, which is mounted on the
Raspberry Pi board. The system consists of a Raspberry Pi, a
camera, an SD card, and a PC. All components are connected
via a USB adapter. The Raspberry Pi is an important element
of the processing module. The first shield is detected by the
USB camera and performs the preset functions for each sign.
Fig: Flow chart of the proposed methodology
The proposed model is based on a flexiblesensorattached to
the glove and connected to the Raspberry pi. Extensive
research has beeninvestedinthedevelopmentofgesture-to-
speech techniques. Converting gestures into a language can
be seen as two approaches. The first method uses flexible
sensors and wearable technology, and the second method
uses image processing and training algorithms. Using
MATLAB, image processing is performed using image
segmentation, and using feature extraction algorithms, the
system recognizes images of hand gestures captured by the
camera and lists pre-recordedtracks.Convertsfromtovoice.
The message is: It will be displayed on the LCD.

IV . TOOLS USED
Hardware Requirements:
 Raspberry Pi
 Pi Camera
 SD card
 LCD Display
 Audio Output unit (Speaker)
Software Requirements:
 Program: Python
 Platform: Python 3 IDLE
 Raspberry pi OS: Raspbian OS
 Library: OpenCV
V . CONCLUSION
In this project, we will first bring the hand in front of the
camera and then perform the hand gestures in front of the
camera. The camera recognizes the gesture and the sound is
sent as output from the speaker.Theevaluationresultsshow
that the proposed system provides very good accuracy and
good processing time. However, there are limits to
identifying false gestures after collecting results through a
complete analysis that takes into account the various
parameters or dimensions within the project. As part of our
future efforts, we will strive to use techniques related to the
identification of counterfeit productsanddisplaytheresults.
REFERENCES
[1] Rohit Rastogi, Shashank Mittal, and Sajan Agarwal - “A
Novel Approach for Communication among Blind, Deaf, and
Dumb People”- 2nd International Conferenceon“Computing
for Sustainable Global Development”, 11th – 13th March
2015; IEEE Conference ID: 35071
[2] B. Buvaneswari, T. Hemalatha, G. Kalaivani, P. Pavithra,
A. R. Preethisree - “Communication among blind, deaf and
dumb People” - International Journal of Advanced
Engineering, Management and Science (IJAEMS) [Vol-6,
Issue-4, Apr-2020] ISSN: 2454-1311
[3] Kasi Viswanathan G, Sathya Seelan C, S.PraveenKumar -
“A Novel Approach on Communication between Blind, Deaf
and Dumb People using flex Sensors and Bluetooth” -
International Journal of Engineering &Technology, 7 (3.12)
(2018) 485-490
[4] Karmel A, Anushka Sharma, Muktak Pandya, Diksha Garg
- “IoT based Assistive Device for Deaf, Dumb and Blind
People International Conference on Recent Trends In
Advanced Computing 2019, ICRTAC 2019
[5] Rajyashree, O. Deepak, Naresh Rengaswamy, K.S.Vishal-
“Communication Assistant for Deaf, Dumb and Blind”-
International Journal of Recent Technology andEngineering
(IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S11, September
2019
[6] Amit Singh Chouhan _ “Indian Sign Language Translator
Using Flex Sensor Gloves” - IOSR Journal of Electronics and
Communication Engineering (IOSR-JECE) e-ISSN: 2278-
2834, p- ISSN: 2278-8735.Volume 11, Issue 6, Ver. III (Nov.-
Dec 2016), PP 12-14 www.iosrjournals.org
[7] Yasmeen Raushan, Abhishek Shirpurkar, Vrushabh
Mudholkar, Shamal Walke, Tejas Makde, Pratik Wahane –
“Sign Language Detection for Deaf and Dumb Using Flex
Sensors” - International ResearchJournal ofEngineeringand
Technology (IRJET) e-ISSN:2395-0056Volume:04Issue:03
| Mar -2017
[8] Vaibhav Mehra, Aakash Choudhury, Rishu Ranjan
Choubey – “Gesture toSpeechConversionusingFlexsensors,
MPU6050 and Python” - International Journal ofEngineering
and Advanced Technology (IJEAT) ISSN: 2249 – 8958,
Volume-8 Issue-6, August 2019
[9] Bijay Sapkota, Mayank K. Gurung, Prabhat Mali, Rabin
Gupta – “Smart Glove for Sign Language Translation Using
Arduino”- 1st KEC Conference Proceedings| Volume I, ISBN
978-9937-0-4872-9 September 27, 2018
[10] Hanine El Hayek and Jessica Nacouzi, Abdallah Kassem,
Mustapha Hamad, and Sami El-Murr- “Sign to Letter
Translator System using a Hand Glove”- ISBN: 978-1-4799-
3166-8 ©2014 IEEE

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