Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies

This review of literature discusses the use of emerging technologies in the prevention of assault, specifically Artificial Intelligence (AI), the Internet of Things (IoT), and wearable technologies. In preventing assaults, GIS-based mobile apps, wearable safety devices, and personal security solutio...

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Main Authors: Vikash Shankar Shyam Sundar Bhuvaneswari, Mohanraj Thangamuthu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/13/3985
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author Vikash Shankar Shyam Sundar Bhuvaneswari
Mohanraj Thangamuthu
author_facet Vikash Shankar Shyam Sundar Bhuvaneswari
Mohanraj Thangamuthu
author_sort Vikash Shankar Shyam Sundar Bhuvaneswari
collection DOAJ
description This review of literature discusses the use of emerging technologies in the prevention of assault, specifically Artificial Intelligence (AI), the Internet of Things (IoT), and wearable technologies. In preventing assaults, GIS-based mobile apps, wearable safety devices, and personal security solutions have been designed to improve personal security, especially for women and the vulnerable. The paper also analyzes interfacing networks, such as edge computing, cloud databases, and security frameworks required for emergency response solutions. In addition, we introduced a framework that brings these technologies together to deliver an effective response system. This review seeks to identify gaps currently present, ascertain major challenges, and suggest potential directions for enhanced personal security with the use of technology.
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publishDate 2025-06-01
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spelling doaj-art-3e7a6e9984a8452abeb8e14a6f867ebc2025-08-20T03:50:17ZengMDPI AGSensors1424-82202025-06-012513398510.3390/s25133985Towards Intelligent Safety: A Systematic Review on Assault Detection and TechnologiesVikash Shankar Shyam Sundar Bhuvaneswari0Mohanraj Thangamuthu1Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, IndiaDepartment of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore 641112, IndiaThis review of literature discusses the use of emerging technologies in the prevention of assault, specifically Artificial Intelligence (AI), the Internet of Things (IoT), and wearable technologies. In preventing assaults, GIS-based mobile apps, wearable safety devices, and personal security solutions have been designed to improve personal security, especially for women and the vulnerable. The paper also analyzes interfacing networks, such as edge computing, cloud databases, and security frameworks required for emergency response solutions. In addition, we introduced a framework that brings these technologies together to deliver an effective response system. This review seeks to identify gaps currently present, ascertain major challenges, and suggest potential directions for enhanced personal security with the use of technology.https://www.mdpi.com/1424-8220/25/13/3985assault preventionwearable devicesmobile healthcareremote monitoringGISsecurity framework
spellingShingle Vikash Shankar Shyam Sundar Bhuvaneswari
Mohanraj Thangamuthu
Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies
Sensors
assault prevention
wearable devices
mobile healthcare
remote monitoring
GIS
security framework
title Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies
title_full Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies
title_fullStr Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies
title_full_unstemmed Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies
title_short Towards Intelligent Safety: A Systematic Review on Assault Detection and Technologies
title_sort towards intelligent safety a systematic review on assault detection and technologies
topic assault prevention
wearable devices
mobile healthcare
remote monitoring
GIS
security framework
url https://www.mdpi.com/1424-8220/25/13/3985
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