D. VIGNAN (09UT1A0410)K. HARSHA (09UT1A0426)K. SANDHYA (09UT1A0439)V. SRAVANTHI (09UT1A0448)

DEPARTMENT OF ECE

GESTURE BASED VEHICLE MOVEMENTS CONTROL AND ALERTING SYSTEM

INTERNAL GUIDE : MR.SANDEEP

BY

OBJECTIVES EXISTING TECHNOLOGY PROPOSED TECHNOLOGY BLOCK DIAGRAM DESCRIPTION OF THE BLOCK DIAGRAM SOFTWARE USED ADVANTAGES APPLICATIONS CONCLUSION FUTURE SCOPE BIBILIOGRAPHY

CONTENTS

Currently around 10 per cent of the total world's population ,i.e. , Around 650 million live with a disability.

85% of people with disability are found in developing countries.

About 4% of indian population are affected.

Dependency on others

EXISTING TECHNOLOGY

The present technologies make use of geared motors to move in various directions.

These systems are steered using joysticks and by hand some times.

These systems are equipped with normal braking systems.

PROPOSED TECHNOLOGY

MEMS Micro-Electro Mechanical Systems

Micro-Electro Mechanical Systems

MEMS is a gesture based technology

It is an integration of mechanical and electronic circuits, typically on a semiconductor chip through micro fabrication technology.

“lab on chip” technology.

Ranges : 1 - 100 microns

Block Diagram

MICRO CONTROLLER

UNIT ( AT89S52 )

POWER SUPPLY

MEMSACCELEROMET

ER

LCD

MOTOR DRIVER

VOICE IC

MOTORS

SPEAKERS

COMPONETS OF THE BLOCK DIAGRAM

POWER SUPPLY MICRO CONTROLLER MEMS ACCELEROMETER MOTOR DRIVER CIRCUIT VOICE IC LCD MOTORS SPEAKERS

Regulated Power Supply

12 v battery. Bridge rectifier Capacitive filter Voltage regulator

Micro-controller

Features of AT89S52

8K Bytes of Re-programmable Flash Memory.

RAM is 256 bytes.

4.0V to 5.5V Operating Range.

Fully Static Operation: 0 Hz to 33 MHz’.

256 x 8-bit Internal RAM.

32 Programmable I/O Lines.

Three 16-bit Timer/Counters.

Full Duplex UART Serial Channel.

Fast programming time.

8 Interrupt sources.

MEMS ACCELEROMETER

1st generation 3axis sensor.

MM7660L

Used in moving, slope detection.

User could get acceleration value of x, y, and z axis.

Output sensitivity could be select by simply set voltage level on few pins.

SCHEMATIC

H - BRIDGE

Circuit Diagram Pin Diagram

LCD

Used for displaying output 2x16 line lcd is used. Number of Characters: 16 characters x 2 Lines. Character Table: English-European (RS in Datasheet). Module dimension: 80.0mm x 36.0mm x 13.2mm(MAX).LCD type: STN, Positive, Yellow/Green .Duty: 1/16 View direction: Wide viewing angle .Backlight Type: yellow/green LED.Operating Temperature: -20°C to + 70°C

LCD INTERFACING

VOICE IC

APR 9600 RE-Recording Voice IC

Non-volatile Flash memory technology

No battery backup required User-Selectable messaging

options Low power consumption Operating current: 25 mA

typical Standby current: 1 uA typical Automatic power-down

SPEAKERS

To give the voice output.

Alerting system used

Process Diagram

• ORIENTATIONS ARE RECORDED BY THE MM7360L• (sensor)

PMMA 7660

• Command is displayed

LCDDISPLAY

KEIL SOFTWARE

µvision3 It is used where machine language code

is written and compiled. Then source code is converted into hex

code. This is to be dumped into the micro

controller for processing. Keil compiler also supports c language

code.

ADVANTAGES

REDUCES PHYSICAL STRAIN

REDUCES HUMAN ACTIVITY

APPLICATIONS

Used for people who don’t have much stamina to move.

For disable persons

Cultural and sports

APPLICATIONS

CONCLUSION

The project “GESTURE BASED VEHICLE MOVEMENTS CONTROL AND ALERTING SYSTEM” has been designed and implemented with Atmel 89S52 MCU in embedded system domain.

The direction of X-axis, Y-axis, and Z-axis has been found by acceleration sensor and according to that the wheel chair is moved with the help of dc motor in the desired direction.

FUTURE SCOPE

Virtual helper for blind people.Remote applications.

BIBLIOGRAPHY

8051 MICROCONTROLLER AND EMBEDDED SYSTEMS BY MAZZIDI.

M. A. Mazidi, J. C. Mazidi, R. D. Mckinaly, The 8051 Microcontroller and Embedded Systems, Pearson Education, 2006.

B. E. Boser, “Electronics for micromachined inertial sensors,” in Transducers Dig. of Tech. Papers, pp. 1169-1172, June 1997.

Garrett Brown,”An Accelerometer Based Fall Detector: Development, Experimentation, and Analysis”, EECS/SUPERB, July 2005.

QUERIES ???