Automatic License
Plate Recognition
AI system for real-time license plate reading for parking, weighbridges, logistics, and security systems.
Usage Context and Data Preparation
Plate reading links text on a plate to a vehicle movement for parking, weighbridge and historical-search workflows. Reading a registration and deciding whether to admit a vehicle are separate steps, with vehicle lists and site rules providing the decision context.
Prepare plate images from the actual lane, plate types, camera positions and entry/exit recording procedures. For a weighbridge, describe how trips are separated and weights matched to registrations. Identify who reviews incomplete plate readings or records that differ from the expected vehicle list.
Processing normally locates the plate, prepares its region and reads text before checking format and site context. Verify the complete required registration, including relevant characters and contextual fields. Reading a clear subset of digits does not identify an authorized vehicle.
Camera placement and vehicle speed affect blur, angle and reflections. Trials should cover actual lanes, daytime, nighttime and dirty or obstructed plates. A stopped frontal sample cannot validate every passage. Incomplete observations need review status and appropriately controlled supporting evidence.
A vehicle passage can occupy many frames. Define event boundaries, direction and lane identity. Multiple-frame evidence may help review but must not invent an unsupported registration. Barrier decisions depend on separately agreed permissions and workflow logic, not OCR alone.
Weighbridge integration needs rules associating registrations with trips, weights and source timestamps. One vehicle can make several trips or appear again after returning. Registration alone is insufficient transaction identity; define reproducible matching and responsibility for discrepancies.
Evaluate complete registrations and passage-level outcomes, not only recognized characters. Separate incomplete plates, absent vehicles and incorrect transaction matches, with counts by lane and light. Stored registration data needs purpose-appropriate access controls and handling.
Authorized lists, alerts and barrier integration remain proposals until scope and joint tests are confirmed with an SI partner. Reading a plate does not establish driver identity, ownership or access rights. Provide fallback procedures for unreadable plates and unavailable receivers.
Key Features
Real-time LPR
Detect and read license plates for both cars and motorcycles from CCTV cameras.
Thai Plate Support
Read all Thai license plate formats including red plates and temporary plates.
Automatic Parking System
Auto barrier control, parking fee calculation, entry/exit time logging.
Weighbridge Integration
Record vehicle weight with license plate automatically to prevent fraud.
Historical Search
Search any vehicle by plate number with full entry/exit history.
Blacklist/VIP Alerts
Instant notification when a blacklisted or VIP vehicle is detected.
Scroll the diagram horizontally to inspect all details.
Key Benefits
Faster Than Manual
Read plates within 0.5 seconds — no manual logging.
Enhanced Security
Every vehicle logged — prevents theft.
Staff Savings
Reduce security staff manually logging plates.
Complete Data
Traffic statistics, vehicle count, parking duration.
Technical Specifications
| Item | Specification |
|---|---|
| Accuracy | > 97% |
| Read Speed | < 500ms |
| Max Vehicle Speed | 120 km/h |
| Supported Plates | Thai, English, Chinese |
| Supported Cameras | IP Camera 2MP+ |
| Integration | REST API, MQTT, TCP/IP |
Suitable For
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