CAPE INSTITUTE OF TECHNOLOGY Department of ECE 2013-17 LANDSLIDE DETECTION Submitted by: Ramalingam Shriram Yoosuf Suhail
CAPE INSTITUTE OF TECHNOLOGY Department of ECE 2013-17 LANDSLIDE DETECTION
Submitted by: Ramalingam Shriram Yoosuf Suhail
LANDSLIDE WARNING AND
HUMAN DETECTION USING ARDUINO
CONTENTS OBJECTIVE ABSTRACT INTRODUCTION EXSISTING SYSTEM BLOCK DIAGRAM PROPOSED SYSTEM MATERIAL USED ADVANTAGES
OBJECTIVE To monitoring the landslide using appropriate
sensors and controller and also detect live human in disaster detected area .
ABSTRACT The system focuses on monitoring landslide and human
detection and generate warning using sensors and controller. This will generates warning when level of earth vibrations
crosses a threshold and live human identity in that location. Detecting a longitudinal wave of a seismic movement by a
MEMS accelerometer this is a vibration sensor. The human identity is carried out by using PIR sensor. The sensor outputs are given to the control unit. Arduino micro controller is used to controlling the whole
system. If the sensor detect the human and vibration the buzzer will
be ON and displayed in the LCD display.
INTRODUCTION Landslide become one of the major problem in most of
the countries around the world. This is cannot be eliminated, i.e. it is not possible to
control the Landslide, however this condition can be prevented.
If the authorities always know the current state of the earth vibrations level.
The Disaster Alert systems have been introduced to notify people in the early stage about the possible threat.
So that safety precautions can be taken to avoid any mishap.
BLOCK DIAGRAM
Mems sensorMotor
DRIVER
Arduino MICRO
CONTROLLER
Buzzer
MotorMotorPIR Sensor
Power supply
Bluetooth module
LCD DisplayMobile Unit
CIRCUIT DIAGRAM
PROPOSED SYSTEM In this system using to monitoring Landslide by
Arduino controller. The sensors, used here to monitor earth vibration is
MEMS sensor and live human is PIR sensor. The outputs of sensors are given to Arduino
controller. LCD Display is used to display the warning when
level of earth vibrations crosses a threshold and live human detected.
The Buzzer will be ON when the Live human is detected.
MATERIAL USEDRechargeable battery It is a one type of electrical battery which can
be charged; discharged in to a load. Recharged many times while a non
rechargeable or primary battery is supplied fully charged and discarded once discharged.
ARDUINO UNO The Arduino Uno is a microcontroller board based
on the ATmega328. It has 14 digital input/output pins (of which 6 can
be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator, a USB connection, a power jack, an ICSP header, and a reset button.
It contains everything needed to support the microcontroller.
Simply connect it to a computer with a USB cable or power it with a AC to DC adapter or battery to get started.
ARDUINO UNO IMAGE
ARCHITECTURE OF ARDUINO
PIR SENSOR PIR is a pyroelectric sensor module which
developed for human body detection. A PIR sensor is used to detect the black
radiation emitted by the human being and give the signal to microcontroller.
PIR sensors allow you to sense motion, almost always used to detect whether a human has moved in or out of the sensors range.
They are small, inexpensive, low-power, easy to use and don't wear out.
PIR SENSOR IMAGE
MEMS SENSOR An accelerometer is an electromechanical device
that is used to measure acceleration and the force producing it.
They can be divided according to the force (static or dynamic) that is to be measured.
Due to its small size and robust sensing feature, they are further developed to obtain multi-axis sensing.
DC GEAR MOTOR Geared DC motors can be defined as an extension of
DC motor which already had its Insight details demystified here.
A geared DC Motor has a gear assembly attached to the motor.
The speed of motor is counted in terms of rotations of the shaft per minute and is termed as RPM.
The gear assembly helps in increasing the torque and reducing the speed.
Using the correct combination of gears in a gear motor, its speed can be reduced to any desirable figure.
MEMS SENSOR IMAGE
ADVANTAGES OF PROPOSED SYSTEM Low cost Reliable circuit High performance Easy operation
APPLICATIONS OF PROPOSED SYSTEM Real time earthquake and human detection system. In this system can be used at the time of natural disaster
to save the lives of human. This can also be used to detect the humans in disaster
area. Wireless control of robot directions and movement. Human detection robot can be used at the time of
natural calamities to save the lives of human. This can also be used to detect the humans in the war
field. This can be used for security purpose in the jewellery
shops, museums, etc.
CONCLUSION This project has been successfully designed and
tested. Integrating features of all the hardware
components used have developed it. Presence of all reasoned out and placed carefully
thus contributing to the best working. This method concludes the recent technological
advances in communication made new trends in the disaster monitoring system.
THANK YOU