Automated License Plate Readers – Market Snapshot 2025
The Automated License Plate Readers (ALPR) Market Survey Report (June 2025), published by the U.S. Department of Homeland Security’s National Urban Security Technology Laboratory, provides an up-to-date overview of commercially available ALPR systems.
Highlights from the report:
- Scope: 16 commercial off-the-shelf systems assessed, including integrated hardware+software platforms and software modules for existing cameras.
- Performance: Capture rates up to 99.5% and read rates above 98% are reported, though environmental factors, plate types, and system calibration remain critical for accuracy.
- Deployment types: Fixed, vehicle-mounted, portable, and smartphone-based applications are all represented.
- Integration: Most systems now support cloud-based storage, mobile access, and API integration into records management systems.
- Security & privacy: Compliance with FBI CJIS Security Policy and NDAA Section 889 is standard. Key issues remain data retention, access control, encryption, and prevention of false positives.
- Emerging features: Beyond reading plates, some platforms identify vehicle make, model, colour, decals, or even analyse movement patterns for predictive policing.
- Policy implications: Report stresses the importance of clear operational policies, strict data protection, and awareness of privacy concerns when deploying ALPR technology.
This resource is designed to help law enforcement agencies evaluate available systems against operational needs, procurement considerations, and integration with existing IT and legal frameworks.
