This presentation describes a voice controlled car project. The car can be operated using voice commands like forward, back, left, right, and stop. An Android application is used to input voice commands, which are sent via Bluetooth to an Arduino board controlling DC motors and movement. An ultrasonic sensor helps detect obstacles. Potential applications include assistance for disabled individuals. While the voice recognition has around 75% accuracy, noise is a weakness that could cause errors. Future work may aim to improve range and noise handling.
1. PRESENTATION ON VOICE
CONTROLLED CAR
PRESENTATION BY
Phani krishna -16R21A03E1
DEPARTMENT OF MECHANICAL ENGINEERING
MLR INSTIUTE OF TECHNOLOGY
4/5/2022
VOICE CONTROLLED CAR 1
2. ABSTRACT
• This project builds a voice controlled car that can be controlled by voice
commands and it is conveniently reacts to corresponding voice command.
However noise and distance handling may need future development.
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VOICE CONTROLLED CAR 2
3. INTRODUCTION
• When we say voice control, the first term to be considered is Speech
Recognition
• Stand-alone speech-recognition circuit (SRC) is it programmable. You can
program and train the SRC to recognize the unique words you want to
recognize.
• These commands are given to Bluetooth module and received via android
application. The integration of control unit with Bluetooth device is done to
capture and read the voice commands. This vehicle then operates as per the
command received via android application. 4/5/2022
VOICE CONTROLLED CAR 3
6. WORKING PRINCIPLE
• The car runs on simple voice commands forward , back ,left ,right , stop.
• The voice command is given to the android application as input
• This input is given to Arduino by Bluetooth module and Arduino gives
commands to the motors as programmed
• With help of servo and ultrasonic sensor it can sense the obstacles
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7. MATERIALS REQUIRED
• MOTOR SHIELD L293D
• JUMPER WIRES
• CHASIS 4WD (including dc motors and wheels)
• ARDUINO UNO BOARD
• 12V BATTERY
• BLUETOOTH MODULE (frequency 2.4 to 2.485 GHz and range is 10mts
approx.)
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9. SWOTANALYSIS
• STRENGTHS:- Road accidents can be reduced by placing the ultra sonic sensor
in this type of cars
• WEAKNESS:-When there is any small obstacle in front of car then it stops
automatically
• OPPORTUNITIES:-Works on voice command and provide comfortable
driving facility even for people who don’t have limbs.
• THREATS:-The voice command fails when a wrong command is given and this
may lead to accidents
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10. APPLICATIONS
• The robot is useful in places where humans find difficult to reach but human
voice reaches .E.g. in a small pipeline , in a fire-situations ,in highly toxic area
• Command and control of appliances and equipment.
• This car can be used as the vehicle for the disable persons like people who
don’t have limbs
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11. FUTURE SCOPE
• This research work has been narrowed down to short range ZigBee module.
Using a long range modules will result in connectivity with the robot for long
distances.
• Power Optimization such sleep and wakeup schedules can be incorporated.
• Image processing can be implemented in the robot to detect the color and the
objects.
• Automatic Targeting System can be implemented in the robot for tracking the
target.
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12. CONCLUSION
• The voice recognition software has an accuracy around 75% in correctly identifying
a voice command.
• But it is highly sensitive to the surrounding noises. There is a possibility of
misinterpreting some noises as one of the voice commands given to the robot.
• Also the accuracy of word recognition reduces in face of the noise. The sound
coming from motors has a significant effect on accuracy.
• There are some drawbacks in the mobile platform.
• In these model we can add ultra sonic sensor for stopping the vehicle if any
obstacle comes
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