| Issue |
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
|
|
|---|---|---|
| Article Number | 01022 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/202450701022 | |
| Published online | 29 March 2024 | |
IoT-enabled landslide detection mitigating environmental impacts
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India.
2 The Islamic university, Najaf, Iraq
3 Department of Artificial Intelligence and Machine Learning,New Horizon College of Engineering, Bangalore, Karnataka, India.
4 Lovely Professional University, Phagwara, Punjab, India.
5 Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, Uttar Pradesh, India.
* Corresponding author: arun1700@grietcollege.com
Massive and unpredicted rainfall-induced landslides are becoming more common in India. 12.6% of the area of India is prone to landslides. This problem presents a comprehensive approach to addressing this critical need by leveraging the Internet of Things (IoT). The existing works mainly focus on vibration sensors and slope movement sensors which may lead to inadequate real-time data. Our proposed work uses rainfall measurement and soil moisture sensors with vibration and slope movement sensors, which increases the data precision and integration. The main ideology is to evacuate the landslide-prone area before the landslide occurs hence saving the lives of people. After detecting the landslide it sends warning alerts to the disaster management authorities in that particular area. As a result, the IoT-based landslide detection system presents a significant advancement in addressing the challenges posed by landslides by focusing on early detection and warning capabilities but also minimizes environmental impacts by facilitating proactive evacuation measures.
© The Authors, published by EDP Sciences, 2024
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