Presented by
Asha C.N
1RL16EC400
Under the guidance of, 11/3/2018
Mr. Umashankar Assistant Professor
Mr. Gaure Gundappa Assistant Professor
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OUTLINE Problem Statement Methodology Flow Chart Block diagram Hardware requirements Software requirements Advantages Applications
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Most of the currently available supportive equipment or system for the blind for communication is voice based. Voice based communication is not effective when it comes to textual communications since voice to text conversion tools fails due to variation in pronunciation of various regions of people. Thus, there is a need for an effective supportive system for the blind for the text-based communication like emails, SMS etc. We propose braille text-based communication device for the blind people to address this problem.
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In this project we are using to help blind people to read the e-mail automatically. In the raspberry pi is loaded with an OS Raspbian Jessy and its connected to internet through Wi-Fi, pi3 will keep on checking Gmail inbox if any e-mail received then it will download the attached file and it start reading the file. We are designing braille type keyboard to help blinds to type letters using slot sensor and we are introducing feedback system for blinds to confirm the which character is typed. After typing blind will get vibration for every character in different fingers using vibrating motors.
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LCD DISPLAY
POWER SUPPLY
SLOT SENSORS
HEAD SET
RASPBERRY PI
HDMI TO VGA CONVERTER
VIBRATOR
MONITOR
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Raspberry Pi 16*2 LCD Head set Vibrator Braille Keys
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Broadcom BCM2837 Arm7 Quad Core Processor powered Single Board Computer running at 900MHz 1GB RAM 40pin extended GPIO 4 x USB 2 ports 4 pole Stereo output and Composite video port Full size HDMI CSI camera port for connecting the Raspberry Pi camera
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SD FORMATTER IP SCANNER PUTTY WIN32 DISK IMAGER RASPIAN JESSEY OS PYTHON IDE
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Blind people can read the emails using text to voice.
This project is helpful illiterate peoples.
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This application is used in blind school.
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During the training period at DTTC bangalore, I came to know about the various telecommunication equipment and technologies used in BSNL I have learned how call processing takes place and what are the
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K Nirmala Kumari, Meghana Reddy Image “Text to Speech Conversion Using OCR Technique in Raspberry Pi” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. Asha G. Hagargund, Sharsha Vanria Thota, Mitadru Bera, Eram Fatima Shaik “Image to speech conversion for visually impaired” Volume 03 - Issue 06 June 2017 Nagaraja L, Nagarjun R S, Nishanth M Anand “Vision based Text Recognition using Raspberry Pi” ) National Conference on Power Systems & Industrial Automation (NCPSIA) 2015 . A. SUBBIAH*, T. ARIVUKKARASU, M. S. SARAVANAN, V. balaji “camera based label reader for blind people”Int. J. Chem. Sci.: 14(S3), 2016, 840-844 ISSN 0972-768X
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