Skip to content
TH
🚗 LPR System

Automatic License
Plate Recognition

AI system for real-time license plate reading for parking, weighbridges, logistics, and security systems.

Automatic LicensePlate Recognition

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

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.

License Plate Recognition (LPR) System
License Plate Recognition (LPR) SystemConceptual illustration, not a product screenshot or measured result.
🎯 Key Benefits

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

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

Suitable For

Parking Management
Weighbridge Stations
Condominiums / Gated Communities
Logistics / Warehouses
Smart Traffic Systems

Related articles and knowledge

Vision AI Knowledge Library

Start with image interpretation, event information and evidence-backed retrieval.

Read More

Detection and Event Indexing

Define identifiers, time, attributes and data lifecycle before choosing an index.

Read More

Natural-Language Search

Separate objects, attributes, relationships and questions requiring confirmation.

Read More

Hybrid and Multimodal Retrieval

Combine filters and vectors without assuming similarity proves every condition.

Read More

Search Evaluation and Governance

Evaluate relevance, evidence, permissions and information missing from an index.

Read More

Interested in AI Vision for Your Organization?

Contact us for a free consultation and live system demo.

Explore AI Technology and Practical Guides

Read published articles on principles, limitations and system evaluation.

News