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

**Authors:** Vikash Shankar Shyam Sundar Bhuvaneswari, Mohanraj Thangamuthu

PMC · DOI: 10.3390/s25133985 · Sensors (Basel, Switzerland) · 2025-06-26

## TL;DR

This paper reviews how AI, IoT, and wearable tech can help prevent assaults and improve personal safety, especially for vulnerable groups.

## Contribution

The paper introduces a framework integrating emerging technologies for effective emergency response and identifies gaps in current approaches.

## Key findings

- GIS-based apps and wearable devices are being used to enhance personal security.
- Interfacing networks like edge computing and cloud databases are essential for emergency systems.
- Current technologies face challenges that need addressing for better safety outcomes.

## Abstract

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.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12251837/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12251837/full.md

## References

74 references — full list in the complete paper: https://tomesphere.com/paper/PMC12251837/full.md

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Source: https://tomesphere.com/paper/PMC12251837