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| Main Authors: | , , , |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18212040 |
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| _version_ | 1866901709983318016 |
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| author | Amaan, Amaan Ur Rehman Aryan, Pardhi Ashwani, Bagri Devendra, Solanki |
| author_facet | Amaan, Amaan Ur Rehman Aryan, Pardhi Ashwani, Bagri Devendra, Solanki |
| contents | <p>This research paper presents a <strong>Smart Tourist Safety Monitoring and Incident Response System</strong> integrating <strong>Artificial Intelligence (AI), Geo-Fencing, and Blockchain-based Digital Identity</strong> to enhance tourist security. The proposed system continuously tracks tourist movements using GPS and applies <strong>geo-fencing rules</strong> to detect restricted-zone entry and boundary violations. An <strong>AI-based anomaly detection module</strong> identifies suspicious or unsafe behavioral patterns such as unusual route deviation and prolonged inactivity. During emergencies, the system generates <strong>real-time alerts</strong> and shares verified identity and location information with authorities through an incident response dashboard. Additionally, <strong>blockchain ensures secure and tamper-proof digital identity verification</strong>, reducing fraud and improving trust in emergency handling. The framework provides a scalable and reliable approach aligned with <strong>Smart City and Digital India initiatives</strong>.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18212040 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Smart Tourist Safety Monitoring and Incident Response System using AI, Geo-Fencing, and Blockchain-Based Digital ID Amaan, Amaan Ur Rehman Aryan, Pardhi Ashwani, Bagri Devendra, Solanki <p>This research paper presents a <strong>Smart Tourist Safety Monitoring and Incident Response System</strong> integrating <strong>Artificial Intelligence (AI), Geo-Fencing, and Blockchain-based Digital Identity</strong> to enhance tourist security. The proposed system continuously tracks tourist movements using GPS and applies <strong>geo-fencing rules</strong> to detect restricted-zone entry and boundary violations. An <strong>AI-based anomaly detection module</strong> identifies suspicious or unsafe behavioral patterns such as unusual route deviation and prolonged inactivity. During emergencies, the system generates <strong>real-time alerts</strong> and shares verified identity and location information with authorities through an incident response dashboard. Additionally, <strong>blockchain ensures secure and tamper-proof digital identity verification</strong>, reducing fraud and improving trust in emergency handling. The framework provides a scalable and reliable approach aligned with <strong>Smart City and Digital India initiatives</strong>.</p> |
| title | Smart Tourist Safety Monitoring and Incident Response System using AI, Geo-Fencing, and Blockchain-Based Digital ID |
| url | https://doi.org/10.5281/zenodo.18212040 |