Smart Tourist Safety Monitoring and Incident Response System using AI, Geo-Fencing, and Blockchain-Based Digital ID

Read full text
Authors: Amaan Ur Rehman Amaan, Pardhi Aryan, Bagri Ashwani, Solanki Devendra
Cited by: 0

Abstract

This research paper presents a Smart Tourist Safety Monitoring and Incident Response System integrating Artificial Intelligence (AI), Geo-Fencing, and Blockchain-based Digital Identity to enhance tourist security. The proposed system continuously tracks tourist movements using GPS and applies geo-fencing rules to detect restricted-zone entry and boundary violations. An AI-based anomaly detection module identifies suspicious or unsafe behavioral patterns such as unusual route deviation and prolonged inactivity. During emergencies, the system generates real-time alerts and shares verified identity and location information with authorities through an incident response dashboard. Additionally, blockchain ensures secure and tamper-proof digital identity verification, reducing fraud and improving trust in emergency handling. The framework provides a scalable and reliable approach aligned with Smart City and Digital India initiatives.

Fields of Study & Subjects

IoT and GPS-based Vehicle Safety Systems Blockchain Technology Applications and Security Human Mobility and Location-Based Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 January 2026
Language
EN