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Gesture based vehicle movements control and alerting system power point presentation done by VIGNAN DUNDANGI
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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 ???
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