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FLOCK Surveillance Network Map

Interactive map visualizing 336,708+ surveillance cameras and their data-sharing networks worldwide

🌐 Live Demo: https://ringmast4r.github.io/FLOCK/

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> overview

This map visualizes the massive global surveillance infrastructure, showing:

• 336,708 surveillance cameras from public databases worldwide
• Network connections showing data sharing between law enforcement agencies
• Police precincts and their surveillance camera networks
• ALPR (Automatic License Plate Reader) cameras
• Flock Safety camera installations
• Global coverage: United States, Europe, Asia, Africa, Oceania, Americas

> features

• 🗺️ Interactive Map: Pan, zoom, and click cameras to explore
• 🌍 Global Coverage: 336K+ cameras across all continents
• 🕸️ Network Visualization: See data-sharing connections between cameras
• 🎨 Color-Coded Markers: Different colors for ALPR, Flock, and other surveillance types
• 📊 Marker Clustering: Efficient rendering of 336K+ markers
• 🗂️ Tile-Based Loading: Fast performance with on-demand tile loading
• 📱 Mobile Responsive: Works on all devices
• ⚡ Fast Loading: Optimized with geographic tiling
• 🔍 Detailed Popups: Click any marker for detailed information

> quick_start

View the Map Online

Visit the live map at: https://YOUR_USERNAME.github.io/discord-flock/

Run Locally

# Clone the repository
git clone https://github.com/YOUR_USERNAME/discord-flock.git
cd discord-flock

# Start a local web server
python -m http.server 8000

# Open in browser
# http://localhost:8000/index.html

> files

discord-flock/
├── index.html                          (25KB - Main HTML file)
├── data/tiles/                         (Tiled camera data for fast loading)
├── camera_networks.json                (16MB - Network connections data)
├── CAMERAS_WITH_NETWORK_DATA.geojson   (102MB - Master camera dataset, local only)
├── police_precincts_usa.geojson        (13MB - Police precinct boundaries)
└── README.md                           (This file)

Note: Master GeoJSON kept local only (exceeds GitHub 100MB limit). Map loads from optimized tiles.

> map_legend

Color	Type	Description
🔴 Red (Glowing)	Flock Safety	Flock Safety brand cameras (pulsing effect)
🟣 Purple	ALPR Cameras	Automatic License Plate Readers
🔵 Blue	Other Surveillance	General surveillance cameras
🟢 Green	Police Stations	Stations receiving Flock camera data

> how_to_use

1. Explore: Pan and zoom to navigate the map
2. Click Cameras: Click any orange/red marker to see its data-sharing network
3. Toggle Layers: Use the legend (bottom right) to show/hide camera types
4. Network Lines: Click "Show ALL Lines" to see all connections (warning: may be slow!)
5. Clear: Click "Clear Lines" to remove network visualizations

> statistics

• Total Cameras: 336,708 (worldwide)
• Network Connections: 113,829+ data-sharing connections
• Police Precincts: Thousands of precincts mapped
• Data Sources: OpenStreetMap, DeFlock.me, public records
• Geographic Coverage: Global (United States, Europe, Asia, Africa, Oceania, Americas)
  • Europe: 246,000+ cameras
  • United States: 75,000+ cameras
  • Canada: 28,000+ cameras
  • Asia: 19,000+ cameras
  • Central America: 13,000+ cameras
  • South America: 9,000+ cameras
  • Oceania: 3,000+ cameras
  • Africa: 2,000+ cameras

> technical_details

Built With

• Leaflet.js - Interactive mapping library
• Leaflet.markercluster - Marker clustering
• OpenStreetMap - Base map tiles

Performance

• HTML Size: 25KB
• Tile-Based Loading: Geographic tiles load on-demand based on viewport
• 512 Optimized Tiles: Data split across zoom level 6 tiles
• Fast Initial Load: Only visible tiles loaded (<2MB typical)
• Memory Efficient: Loads only what you see
• Marker Clustering: Efficient rendering of 336K+ points

Browser Support

• ✅ Chrome/Edge (recommended)
• ✅ Firefox
• ✅ Safari
• ✅ Mobile browsers

> data_sources

All data is from publicly available sources:

• OpenStreetMap: Open-source mapping data with surveillance tags
• EFF Atlas of Surveillance: Electronic Frontier Foundation database
• McClatchy Private Eyes: Investigative journalism ALPR database
• DeFlock.me: Community-sourced Flock Safety camera locations

Data Freshness

• Last updated: November 2025
• Dataset includes network sharing data between law enforcement agencies

> privacy__ethics

This Project is For:

• ✅ Public awareness of surveillance infrastructure
• ✅ Privacy advocacy and education
• ✅ Research and journalism
• ✅ Understanding surveillance scope

NOT For:

• ❌ Vandalism or property destruction
• ❌ Harassment of operators
• ❌ Illegal activities
• ❌ Evasion of law enforcement

Legal Notes

• All data from publicly available sources
• OpenStreetMap data: ODbL License
• Camera locations on public streets are increasingly considered public records
• Washington court ruled Flock camera data are public records (Nov 2025)

> contributing

Want to add more cameras or improve the map?

1. Add cameras to OpenStreetMap:

   • Create account at openstreetmap.org
   • Use iD Editor or JOSM
   • Tag with man_made=surveillance

2. Report via DeFlock.me:

   • Use mobile apps (iOS/Android)
   • Submit camera locations

3. Improve this code:

   • Fork the repository
   • Make improvements
   • Submit pull request

> support__resources

• GitHub Issues: Report bugs or request features
• DeFlock.me: https://deflock.me/
• EFF: https://www.eff.org/
• ACLU: https://www.aclu.org/

> license

• Code: MIT License (or your choice)
• Data: ODbL (OpenStreetMap), various public domain sources
• Map Tiles: © OpenStreetMap contributors

> credits

• Data: DeFlock.me community, OpenStreetMap contributors
• Mapping: Leaflet.js
• Clustering: Leaflet.markercluster
• Inspiration: Privacy advocates worldwide

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> project_stats

Made with ❤️ for privacy awareness

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Disclaimer: This is an educational project for public awareness. Use responsibly.

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📊 Traffic Stats

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Brought to you by Ringmast4r 😘

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