all the thing u want that is related to gesture control car is here.....if u also want this report file thn plss ask

1. MAJOR PROJECT
PRESENTATION ON
“ GESTURE CONTROL CAR”
SUBMITTED TO:-
MR. ABHINANDAN JAIN
HOD, Deptt. of ECE
Pratap University, Jaipur
SUMBITTED BY:-
SAURAV KUMAR
NAVEEN KUMAR
MADHUKAR KR. RAI

2. CONTENT
 INTRODUCTION
 BLOCK DIAGRAM
 COMPONENT USED
 ATmega328
 Ardunio
 ADXL335
 CIRCUIT DIAGRAM
 TRANSMITTER
 RECEIVER
 APPLICATION OF GESTURE RECOGNITION
 ADVANTAGES AND DISADVANTAGES
 CONCLUSION

3. INTRODUCTION
• Gesture Control Car (GCC)is a microcontroller project that control the car motion by hand glove.
• Most of controllers of existing remote cars require users to interface with joysticks and push buttons.
Comparing to these conventional controllers, we built a wireless gesture controller which enables cars to
mock hand motion in all dimensions.
• In our project we have put together a car, which is a model of the cars we drive today, with servo motors
controlling the direction of the car’s motion, which is controlled by a glove. The glove is worn by the user, is
mounted by accelerometers and it transmits data wirelessly to the car.

4. BLOCK DIAGRAM

5. COMPONENT USED
ATmega328:-
ATmega328 is a single-chip microcontroller from Atmel and belongs to the mega AVR series. The
Atmel 8-bit AVR RISC based microcontroller combines 32kB ISP flash memory with read-while-write
capabilities, 1kB EEPROM, 2kB SRAM, 23 general-purpose I/O lines, 32 general-purpose working registers,
three flexible timers/counters with compare modes, internal and external interrupts, serial programmable
USART, a byte-oriented 2-wire serial interface, SPI serial port, 10-bit A/D converter, programmable watch-dog
timer with an internal oscillator and five software-selectable power-saving modes.

6. Arduino
The Arduino is a small development board with a brain (also known as a micro controller) that you can
program. It interacts with the real world through LEDs, sensors, motors, LCDs, buzzers, etc. Arduino is
essentially a tiny computer that can connect to electrical circuits. There are many other development boards
available in the market, but Arduino is more preferable as it is open source, very versatile and easy to use.

7. ADXL335:-
This is a complete three-axis acceleration measurement system. ADXL335 has a minimum
measurement range of ±3g. It contains a poly-silicon-surface micro-machined sensor and signal-conditioning
circuitry to implement open-loop acceleration measurement architecture. Output signals are analogue voltages
that are proportional to acceleration. The accelerometer can measure the static acceleration of gravity in tilt-
sensing applications as well as dynamic acceleration resulting from motion, shock or vibration.

8. CIRCUIT DIAGRAM TRANSMITTER

9. CIRCUIT DIAGRAM RECEIVER

10. APPLICATION OF GESTURE RECOGNITION
Gesture recognition has wide ranging applications such as the following
 Enabling very young children to interact with computers
 Medically monitoring patients’ emotional states or stress levels
 Navigating and/or manipulating in virtual environments
 Communicating in video conferencing
 Public Display Screens: Information display screens in Supermarkets, Post Offices, Banks that allows
control without having to touch the device.
 Robots: Controlling robots without any physical contact between human and computer.

11. ADVANTAGES AND DISADVANTAGES
ADVANTAGES
Speed and sufficient reliable for recognition system.
Good performance system with complex background.
 The system successfully recognized static and
dynamic gestures. Could be applied on a mobile robot
control.
Simple, fast, and easy to implement. Can be applied
on real system and play games.
 No Training is required.
 Irrelevant object might overlap with the hand.
Wrong object extraction appeared if the objects
larger than the hand.
Performance recognition algorithm decreases when
the distance is greater than 1.5 meters between the
user and the camera.
 System limitations restrict the applications such as
the arm must be vertical, the palm is facing the
camera and the finger colour must be basic colour
such as either red or green or blue.
 Ambient light affects the colour detection threshold
DISADVANTAGES

12. CONCLUSION
• The importance of gesture recognition lies in building efficient human machine interaction. Its applications
range from sign language recognition through medical rehabilitation to virtual reality. Gesture recognition
35 Soft computing tools pose another promising application to static hand gesture identification.. Thus,
gesture recognition promises wide-ranging applications in fields from photojournalism through medical
technology to biometrics.

13. Thank you