Pre-Release — Internal Testing Only|PlateMaster is not yet publicly available. Join the waitlist to be notified at launch.
PlateMaster ALPR Platform
Testing Phase
Automatic Licence Plate Recognition
Cloud-hosted, continuously learning, and engineered for the real world. PlateMaster reads plates at speed — across all 50 US states including Hawaii and Alaska — in any weather condition, any camera angle.
Not yet publicly released. PlateMaster is currently in an internal testing phase. Platform access is restricted to authorised testers. Public launch timing will be announced — contact us to register interest.
PlateMaster processes frames through a four-stage pipeline — image capture to verified plate output — entirely in the cloud, with no on-premise hardware required.
01
Image Ingestion
Frames are submitted via REST API or direct camera stream. Accepts JPEG, PNG, and H.264 video streams from IP cameras, dashcams, and fixed ALPR units.
02
Plate Detection
Our neural detection model locates plate regions within the frame, handling oblique angles, partial occlusions, motion blur, and low-light conditions automatically.
03
OCR & Format Match
Extracted regions are processed through our OCR engine, matched against all 50 US state plate schemas including Hawaii and Alaska, and validated against character-frequency models per state.
04
Result Delivery
Verified reads are returned as structured JSON — plate string, confidence score, state, timestamp, and bounding box — with optional webhook push for hotlist integration.
Platform Features
Everything You Need, Built In
PlateMaster ships as a complete ALPR platform. No third-party dependencies, no patchwork integrations — one API that handles the full recognition pipeline.
All 50 US States
Full coverage across every US state including Hawaii and Alaska. All regional plate variants, speciality plates, commercial formats, and state-specific character profiles handled natively — no configuration required.
Real-Time Processing
Sub-200ms average latency from image submission to structured result. Architected for high-throughput deployments — tolls, intersections, and multi-camera networks — without degradation under load.
Hotlist Integration
Upload watchlists via CSV or API. Instant alert webhooks fire when a matching plate is read — configurable per list, per camera group, per severity level. CJIS compliance is a planned roadmap milestone.
Structured JSON Output
Every read returns a clean, versioned JSON payload: plate string, state, confidence score, bounding box coordinates, timestamp, and processing metadata. Designed for direct database write.
Webhook Push Alerts
Configure outbound webhooks for any event — read completed, hotlist match, confidence-below-threshold. Full retry logic, signed payloads (HMAC-SHA256), and delivery logs included.
Analytics Dashboard
Live read volumes, accuracy metrics, camera health, hotlist hit rates, and historical trend data — all surfaced in the PlateMaster web dashboard. Export to CSV or pipe to your own BI stack via API.
Cloud-Native Architecture
No on-premise hardware, no local model hosting. PlateMaster runs entirely in our cloud — auto-scaling, redundant across availability zones, with 99.9% uptime SLA on Pro and above.
Continuously Learning
Every test deployment improves the model. Anonymised read data feeds our continuous training pipeline — accuracy increases with each testing cycle, with version-locked model endpoints available for compliance.
Developer-First API
RESTful API with comprehensive documentation, SDK support for Python, Node.js, and Go, OpenAPI 3.0 spec, sandbox environment, and interactive API explorer — available from day one of your plan.
Supported Jurisdictions
All 50 US States
Including Hawaii & Alaska — US plates only during testing phase
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
Accuracy
Where We Are. Where We're Going.
PlateMaster is in active internal testing. Current read accuracy sits at 60–70% across mixed real-world conditions. Our training pipeline ingests anonymised deployment data continuously — accuracy improves with every testing cycle.
Testing (Current)60–70%
Target — Q3 202685%+
Target — Q1 202795%+
* Accuracy figures represent clean-plate reads under standard conditions. Degraded conditions (heavy occlusion, extreme angle, damaged plates) are reported separately in dashboard metrics.
CJIS Certification — Planned. We are pursuing CJIS compliance certification ahead of our law enforcement launch. This certification is not yet obtained. Deployments in CJIS-governed environments are not currently supported.
Roadmap
Upcoming Improvements
Night-Vision & IR Camera SupportDedicated model branch trained on thermal and IR imagery for 24/7 enforcement deployments.
Multi-Plate Frame ProcessingSingle API call resolves all plates visible in a single frame — for intersection cameras and parking bay coverage.
CJIS Compliance Certification PlannedFull CJIS audit and certification to support law enforcement agency deployments at federal, state, and local level.
On-Premise Deployment Option PlannedAir-gapped, containerised PlateMaster for classified environments and CJIS-strict jurisdictions requiring no cloud egress.
Vehicle Make & Model Detection PlannedExtend reads with AI-classified vehicle type, colour, and make — corroborating plate reads and catching cloned plates.
Interested in PlateMaster?
PlateMaster is not yet publicly released. Register your interest now to be notified at launch. Enterprise and custom deployments available for discussion ahead of general availability.
