How Forseti Works
The Technology Behind Community Safety
1. Data Collection 📊
We continuously gather crime incident data from Philadelphia Police Department open data sources, emergency service reports, and community submissions. All data is verified and anonymized to protect privacy.
2. H3 Geospatial Analysis 🗺️
Using Uber's H3 hexagonal hierarchical geospatial indexing system, we map crime incidents with incredible precision. Unlike traditional square grids, H3 hexagons provide more accurate spatial analysis and better visualization of crime patterns.
- Resolution levels: From neighborhood overviews to block-level details
- Aggregation: Incident density calculations for hotspot identification
- Neighbor analysis: Understanding how crime spreads between adjacent areas
3. AI Pattern Recognition 
Our machine learning algorithms analyze historical and real-time data to identify:
- Temporal patterns: When crimes are most likely to occur (time of day, day of week, season)
- Spatial patterns: Geographic clustering and crime migration
- Trend analysis: Increasing or decreasing crime rates over time
- Predictive modeling: Forecasting high-risk areas and times
4. Intelligent Alerts 🔔
When our AI detects concerning patterns or emerging threats, we send targeted alerts to:
- Pedestrians passing through the area
- Residents in affected areas
- Neighborhood watch coordinators
- Community safety groups
- Local authorities (with user consent)
5. Community Feedback Loop 🔄
User reports and feedback help improve our AI models. When community members report incidents or validate our predictions, our system becomes smarter and more accurate.
Privacy & Security
Your Data is Safe
- End-to-end encryption for all communications
- Anonymous incident reporting options
- No sale or sharing of personal data
- GDPR and privacy law compliant
- Transparent data usage policies