Cameras / California / San Francisco
License plate readers in San Francisco, CA
Volunteers have documented 490 automated license plate readers inside San Francisco. That is the 5th-largest total among the 353 California cities indexed here, and 2.3% of the statewide total. At 10.5 readers per square mile, San Francisco sits in the most densely covered 5% of the 2,395 US cities indexed nationally. Nearly all of them — 93% — are Flock Safety units. Volunteers also recorded non-government operators here, including St Francis Wood HOA. Where a mount was recorded, volunteers logged 327 on poles and 11 on street lamps.
Checked against OpenStreetMap September 29, 2026 · figures last changed September 28, 2026.
490
readers documented
10.5
per square mile
5th
of 353 indexed California cities · 13th of 2,395 nationally
2.3%
of California’s documented total
Dot colors follow the manufacturer legend below. Boundary: U.S. Census Bureau, 2025 Cartographic Boundary Files. Locations: © OpenStreetMap contributors.
Who makes them
- Flock Safety454 · 93%
- Motorola Solutions6 · 1%
- Genetec1 · 0%
- Leonardo/ELSAG2 · 0%
- Neology2 · 0%
- Other vendors8 · 2%
- Unknown17 · 3%
What volunteers recorded
- Monitoring public roads
- 458 cameras are tagged as watching public streets or traffic.
- Recorded operators
- San Francisco Police Department (328), Golden Gate Bridge Highway and Transportation District (8), St Francis Wood HOA (5). All 720 recorded ALPR operators, ranked →
- How they’re mounted
- pole (327), street lamp (11), Falcon Mobile Unit (2), wall (1), light (1)
- Coverage area
- 46.7 square miles of land inside city limits.
Nearby
Learn more: How to spot a Flock Safety camera · How ALPRs work · Can you opt out? · California's ALPR statute
These locations were documented in the field by OpenStreetMap volunteers and refresh automatically every six hours. They are evidence of where cameras have been seen — not a complete or official inventory, and cameras may have been added or removed since documentation. Corrections happen upstream: edit OpenStreetMap and this page will update. Read more in our methodology, or download the aggregates in bulk.
