Cameras / California / Tustin
License plate readers in Tustin, CA
Volunteers have documented 102 automated license plate readers inside Tustin. That is the 33rd-largest total among the 353 California cities indexed here, and 0.5% of the statewide total. At 9.2 readers per square mile, Tustin sits in the most densely covered 5% of the 2,395 US cities indexed nationally. Motorola Solutions holds the largest share here at 75%, rather than Flock Safety, which leads in most cities in this index. Volunteers also recorded non-government operators here, including Vestar Properties. Where a mount was recorded, volunteers logged 87 on poles and 2 on street lamps.
Checked against OpenStreetMap September 28, 2026 · figures last changed September 24, 2026.
102
readers documented
9.2
per square mile
33rd
of 353 indexed California cities · 145th of 2,395 nationally
0.5%
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 Safety15 · 15%
- Motorola Solutions77 · 75%
- Leonardo/ELSAG2 · 2%
- Other vendors5 · 5%
- Unknown3 · 3%
What volunteers recorded
- Monitoring public roads
- 95 cameras are tagged as watching public streets or traffic.
- Recorded operators
- Tustin Police Department (64), Vestar Properties (1), Flock Safety (1). All 720 recorded ALPR operators, ranked →
- How they’re mounted
- pole (87), street lamp (2)
- Coverage area
- 11.1 square miles of land inside city limits.
Nearby
Learn more: How to spot a Motorola Solutions 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.
