License plate readers in Baltimore, MD

Name: Reported ALPR camera locations in Baltimore, Maryland
Creator: OpenStreetMap contributors
License: https://opendatacommons.org/licenses/odbl/1-0/

Volunteers have documented 134 automated license plate readers inside Baltimore. No other Maryland city in this index has more, and Baltimore alone accounts for 11% of every reader documented in the state. Its density of 1.7 per square mile places Baltimore near the middle of the 2,431 cities indexed nationally. Leonardo/ELSAG holds the largest share here at 44%, rather than Flock Safety, which leads in most cities in this index. Volunteers also recorded non-government operators here, including The Home Depot and Simon Property Group.

Checked against OpenStreetMap November 13, 2026 · figures last changed November 12, 2026.

See these cameras on the interactive map

134
readers documented
1.7
per square mile
1st
of 23 indexed Maryland cities · 97th of 2,431 nationally
11%
of Maryland’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 Safety30 · 22%
Motorola Solutions1 · 1%
Genetec1 · 1%
Leonardo/ELSAG59 · 44%
Neology1 · 1%
Other vendors37 · 28%
Unknown5 · 4%

Compare every ALPR manufacturer nationally →

What volunteers recorded

Monitoring public roads: 134 cameras are tagged as watching public streets or traffic.
Recorded operators: Maryland Transportation Authority (5), The Home Depot (3), Simon Property Group (1). All 720 recorded ALPR operators, ranked →
How they’re mounted: pole (6), traffic signal (3), gantry (1), post (1), street lamp (1)
Coverage area: 80.9 square miles of land inside city limits.

Nearby

Learn more: How to spot a Leonardo/ELSAG camera · How ALPRs work · Can you opt out? · Maryland'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.