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    Projects > ELECTRONICS > 2019 > NON IEEE > EMBEDDED SYSTEMS

    VOICE RECOGNITION BASED INTELLIGENT WHEELCHAIR AND GPS TRACKING SYSTEM


    Abstract

    Development of a voice recognition based intelligent wheelchair system for physically handicapped people who are unable to drive the wheelchair by hand is represented in this paper where the patient can operate the wheelchair using voice commands and the location of patient can be traced using GPS module in the wheelchair that tracks and sends the information to smartphone application (app) via Firebase. Voice module V3 is used to record patient’s voice and recognize that voice to follow the instructions of the patient. This kit converts the voice commands to hexadecimal numbers and then the data is fed to the Wi-Fi module to control the wheelchair. Wi-Fi module directs the motor driver IC to move the wheels in desired direction. Motor speed can also be controlled in three stages-low, medium, high. This system also offers obstacle detection automatically using IR sensor and a smartphone app has been developed for the family members of patient to know about the location of the patient. Use of firebase makes the system fast and android app offers low cost and user friendly environment than the conventional GSM based navigation systems. As this system simultaneously offers voice operated wheelchair, motor speed control, obstacle detection and GPS tracking of patient using android app, hopefully it will be a fruitful system for the handicapped people worldwide.


    Existing System

    Voice operated wheelchair and GSM based navigation system


    Proposed System

    The proposed system developed system offers voice recognition based wheelchair as well as GPS tracking of patient using android app. Voice module is trained with patient’s voice first. The patient only need to speak to the microphone of the module and then the converted hexadecimal numbers are feed to the Wi-Fi module that controls the wheel direction via motor driver. Motor speed can also be controlled. Automatic obstacle detection is provided using IR sensor. Family members of patient can be aware of patient’s location using android app. Use of firebase makes the navigation system speedy. Moreover, speed control and android app make the system user friendly. The system is also cost effective than the GSM based navigation systems.


    Architecture


    BLOCK DIAGRAM


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