GeoWatch is a real-time crowd safety monitoring platform designed for large public events.
Participants report incidents through a mobile application, while administrators monitor evolving risk zones through a live dashboard.
The system transforms raw incident reports into geospatial clusters and risk levels, allowing organizers to quickly identify dangerous crowd areas and respond faster.
Large events often generate scattered incident reports that are difficult to interpret individually.
GeoWatch aggregates these reports and applies geospatial clustering to detect emerging risk zones in real time.
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Real Time Incident Reporting
- Participants submit SOS alerts with live GPS coordinates.
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Event Geofencing
- Incidents are validated to ensure they occur inside the event boundary.
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Risk Zone Detection
- DBSCAN clustering groups nearby incidents into clusters.
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Risk Classification
- Clusters are categorized as LOW, MEDIUM, or HIGH risk.
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Live Dashboard
- Admins monitor safety zones through a map-based interface.
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WebSocket Updates
- Incident clusters update instantly without refreshing the dashboard.
| Component | Description |
|---|---|
| Mobile App | Flutter application used by participants to report incident |
| Backend API | Spring Boot service handling incident ingestion, clustering, and broadcasting |
| Admin Dashboard | React web application for monitoring crowd safety in real time |
| Database | PostgreSQL storing events, incidents, organizers, and admins |
| Realtime Engine | WebSocket + STOMP broadcasting cluster updates |
- Participants discover nearby events using GPS.
- A participant submits an SOS incident report.
- The backend validates the report and stores it in the database.
- The system recalculates incident clusters using DBSCAN.
- Updated risk zones are pushed to the admin dashboard via WebSockets.
- Organizers see live heatmaps and cluster markers on the event map.
Figure 1: GeoWatch home page where users can view available events and access the reporting interface.
Figure 2: Admin interface used to create and configure a new event with location and event details.
Figure 3: Admin dashboard displaying the event map before any incidents are reported.
Figure 4: Real-time heatmap generated from clustered incidents showing potential risk zones.
| Layer | Technology |
|---|---|
| Mobile | Flutter |
| Frontend | React + TypeScript |
| Backend | Spring Boot |
| Database | PostgreSQL |
| Mapping | Leaflet |
| Realtime Communication | WebSocket + STOMP |
| Clustering Algorithm | DBSCAN |
| Geospatial Calculations | Haversine Formula |
GeoWatch can significantly improve safety management during crowded events by providing real-time situational awareness.
Potential real-world applications include:
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Concerts and Festivals
- Quickly identify dangerous crowd zones or emergencies.
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College Festivals and Hackathons
- Monitor large campus gatherings and respond to incidents faster.
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Sports Events
- Detect crowd disturbances or medical emergencies.
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Public Gatherings and Rallies
- Assist organizers and authorities in monitoring crowd safety.
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Smart City Safety Systems
- Integrate with city surveillance systems for proactive crowd risk detection.
By converting scattered reports into live geospatial risk intelligence, GeoWatch enables organizers and authorities to take faster, data-driven safety actions.
GeoWatch converts scattered incident reports into real-time geospatial risk intelligence, helping event organizers detect danger zones early and improve crowd safety response.