Development of landslide early warning system using Arduino and BLYNK

Mohd Noor, Nur Ain Atiqah (2020) Development of landslide early warning system using Arduino and BLYNK. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The project is the development of an initial ground-breaking system using Arduino and Blynk with the implementation of Internet Thing (IoT). The project is to make work easier and reduce the problem of landslides. Moreover, the reduction of workers can be achieved through the implementation of IoT-based systems. Additionally, it can be monitored using a smartphone and provides a level of alert to users. Today, technology plays an important role for the people. Based on this project, it can help reduce landslides and detect factors that encourage landslides. Data from various types such as Arduino, Raspberry pi and so on can be associated with any application such as Blynk, MIT or Firebase application creator with the help of Wi-Fi modules like ESP 8266. ESP8266 acts as an internet bridge object for internet or Wi-Fi connectivity. Using the internet, the project can be controlled and monitored remotely and receive notifications over Wi-Fi to smartphones. The sensors to be used in this project are soil moisture sensors to detect groundwater and vibration sensors to detect movement in the soil. The project uses a buzzer to serve as a ground warning system for hazardous landslides. This project can inform users through the blynk application. This indirectly reduces the risk of landslides and can prevent any death or loss and damage to property.

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