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HVS-3270. Hand Gesture Recognition System for Dumb People Voice, Location, SMS.
HVS-3270. Hand Gesture Recognition System for Dumb People Voice, Location, SMS.
HVS-3270. Hand Gesture Recognition System for Dumb People Voice, Location, SMS.

HVS-3270. Hand Gesture Recognition System for Dumb People Voice, Location, SMS.

₹9,500.00

In our day-to-day life most of the task we carry out involves speaking and hearing. The deaf and dumb people have difficulty in communicating with others who cannot understand sign language and misinterprets. In this project; we designed a simple embedded system-based device for solving this problem.

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In our day-to-day life most of the task we carry out involves speaking and hearing. The deaf and dumb people have difficulty in communicating with others who cannot understand sign language and misinterprets. In this project; we designed a simple embedded system-based device for solving this problem. The main aim of this project is to design and construct a hand talk system which different voices can be announced along with location tracking and sending system using four flex sensors, MEMS, GSM, GPS. The status of the project will display on LCD module. In this project we design a smart glove which is works in two modes like voice and device. We are using ADXL335 MEMS sensor to select the mode either voice or rest mode. Glove section: MEMS sensor, four flex sensors, GSM, GPS, voice module, LCD display is interfaced to the Arduino nano. Once the glove is placed in the hands, whenever an action for sign language is performed, the bending values are transmits and received by the corresponding action is identified by the microcontroller. It activates the voice chipAPR33A3 and the corresponding voice is spelled in speaker and simultaneously message will be display on LCD. It will monitor the person’s location through GSP and it will send the location of the person through GSM when the user wants to help. By using this project we are announcing 8 voices and operate two devices. The main controlling device of the project is Arduino nano and PIC Microcontroller which is loaded program written in embedded C language. This flex sensor is a unique component that changes resistance in proportion to the degree it is bent.  The sensor when lying flat has a nominal resistance. As the flex sensor is bent the resistance increases in proportion. This device is very helpful for paralysis and physically challenged persons.

 

The main objectives of the project are:
  • Hand Gestured based voice announcing using flex sensors.
  • MEMS based mode selection.
  • Using apr33a3 voice module to request their voices/needs.
  • GPS, GSM based location tracking and SMS alerting system.
This project provides us with the learning’s on the following aspects:
  1. Characteristics of Flex sensor
  2. Interfacing of mems sensor with Microcontroller.
  3. Appliances interfacing with the microcontroller.
  4. Voice module working.
  5. GSM, GPS working.
  6. Embedded C programming.
The major building blocks of this project are:
  • Battery power supply.
  • Arduino nano.
  • Flex sensors.
  • MEMS sensor.
  • Voice circuit.
  • GPS.
  • GMS.
  • LCD display.
Software’s used:
  1. Arduino ide studio dumping code into Microcontroller.
  2. Embedded C language.
  3. Express SCH for Circuit design
   

   

Block diagram:    

     

   

video:    

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