Landslide Alerting System for Drivers

 Abstract

  All the hilly areas through which the road passes, there are frequent chances of accidents.  The reason may be a winding road or due to a landslide, a big rock can damage the upper part of the vehicle, due to which the person sitting in it and the driver can get into an accident and may even die.

Keeping this in mind, we have made such a device which will alert the driver when any object or rock comes on top of the vehicle.  Also, we will put such a technology in it so that it can be turned on and off and when we take a car or any vehicle in the mountainous area, then we will turn it on.

We can put this device in the upper part of any vehicle before the accident happens. When my device will alert them then if there will be no traffic problem then he will move forward quickly, if there is traffic, then he can save his life by getting out of the car.

 Background

1. Wireless sensor networks are one of the emerging areas which have equipped scientists with the capability of developing real-time monitoring systems. This paper discusses the development of a wireless sensor network(WSN) to detect landslides, which includes the design, development and implementation of a WSN for real time monitoring, the development of the algorithms needed that will enable efficient data collection and data aggregation, and the network requirements of the deployed landslide detection system. The actual deployment of the testbed is in the Idukki district of the Southern state of Kerala, India, a region known for its heavy rainfall, steep slopes, and frequent landslides. (https://bit.ly/3rxReh0 )
2. Wireless Sensor Network for Landslide Detection: —The power of wireless sensor network technology has provided the capability of developing large scale systems for real-time monitoring. ( https://bit.ly/31jyzLv )
3. A landslide, also called a landslip , appears to be the most threatening disaster of all time, especially in the hillside regions. It involves enormous surface movements including debris flows, slope failure, rock fall etc. It mainly occurs when the land slopes become unstable. Other measures that also lead to landslides are Ground water changes, Earthquakes, Floods, Volcano eruptions and Heavy rainfalls. People among these hill areas don't know about the disaster that’s about to happen massively. The perfect way to avoid such hazards is by predicting it at the initial phase with maximum accuracy. There are many wired and wireless supervising systems available to detect landslides which require higher cost and maintenance. But we have a suitable solution for this with the Internet of Things (IoT) based approach. It improves objects' control and detection remotely between various networks thereby creating possibilities for direct communication between physical and computer-based world. By this approach Landslides can be predicted at the initial phase. If there is a higher chance of Landslide then an alert will be sent to the disaster management sector immediately to take necessary precautions so that enormous precious lives can be protected. This paper proposes a model for IoT based Landslide detection mechanisms in detail. (https://link.springer.com/article/10.1007/s11277-019-06933-7 )

Statement of Problems

To develop the landslide alerting system to detect landslides at Hilly areas and alert the Driver to prevent the accident of Vehicles  to save life and property.

 Technical Report

This study we will try to develop a Landslide Alerting System to prevent accidents in Landslide areas. This system may be installed in the vehicles and working on the principle of object detection.

Hardware Requirements:

1. Ultrasonic sensors
2. Arduino UNO
3. Power Supply (5 volt)
4. Jumper Wire
5. LED

Software Requirements:

1. Arduino IDE

Diagram

Results

Every year thousands of people lose their lives due to landslides in mountainous areas, in fact they are in a closed vehicle and they do not know about the accident happening outside, they are not alert and they lose their lives. So with the help of this device we will save their lives.

My Video Link: https://youtu.be/Wbdxlof5edI (unlisted)