IoT Based Accidental Precaution System

DOI

10.2991/978-94-6463-738-0_20How to use a DOI?

Keywords

Actuators; Data Analysis; IoT; Safety; Security

Abstract

As Internet of Things (IoT) technology expands, there are numerous ways to transform protection and twist of fate prevention. This paper gives a brand new IoT-primarily based twist of fate prevention device designed to growth accident recognition and reduce injuries. The machine integrates smart sensors, actuators, and verbal exchange devices to create a real-time monitoring system. The primary characteristic of the system is the continuous monitoring of environmental and human activities within the existing region. Smart sensors utilized in innovative spaces collect temperature, humidity, air best and movement statistics. This statistics is processed in actual-time and anomaly detection is used to perceive gaps inside the original version that might imply an occasion. If any suspicious activity is detected, the system will work together to take action. These actions may include raising awareness, providing information to relevant authorities, or developing emergency prevention measures. Additionally, the system uses cloud-based storage and analytics to provide historical data, allowing for post-incident analysis and continuous improvement. The results show significant improvements in the system’s ability to detect and respond to potential incidents, while improving safety and reducing impact. This research leads to the development of secure IoT applications and demonstrates the potential of using connected devices to create a smart and functional layer of protection against nature.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Gautam Kumar
AU  - Parveen Badoni
AU  - Bandanjot Kaur
AU  - Manoj Wadhwa
AU  - Vijay Mohan Shrimal
PY  - 2025
DA  - 2025/06/22
TI  - IoT Based Accidental Precaution System
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 245
EP  - 254
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_20
DO  - 10.2991/978-94-6463-738-0_20
ID  - Kumar2025
ER  -