PERFORMANCE
Performance You Can Measure
License-plate recognition, container-number recognition, processing speed and barrier response are direct technical criteria for smart-gate selection.
SYSTEM ARCHITECTURE
Sensing, Control and Platform Layers Form One Gate Workflow
Field acquisition captures trusted data, control equipment executes gate actions, and the platform validates business logic and exchanges data with external systems.
Sensing Layer
Integrate license-plate recognition, container-number recognition, weighbridges and related sensors to continuously capture vehicle and container data.
Control Layer
Control barriers, traffic lights, LED displays and voice devices based on validated business results.
Platform Layer
Process data, validate business logic and communicate with external systems to manage the full gate workflow.
CORE VALUE
From Automatic Recognition to Authorized Release
Connect recognition, business validation, access control and transaction feedback into one closed-loop process.
Faster Throughput
Automatic vehicle recognition and rapid release reduce manual intervention and peak-hour queues.
Accurate Data
Automatically capture license plates, container numbers and weight data instead of manual entry.
System Coordination
Interact with TOS/YMS in real time to validate work instructions and return gate results.
Operational Safety
Combine anti-tailgating, anti-collision and adjacent-lane interference protection.
Digital Traceability
Convert every gate move into structured data for operational analysis and traceability.
Unattended Operation
Automated barrier control and business-system integration support unattended gate operation.
AI RECOGNITION MATRIX
Recognition Beyond License Plates and Container Numbers
Multi-dimensional recognition covers vehicles, containers, dangerous-goods marks and visual traceability.
| Recognition Item | Target | Capability |
|---|---|---|
| License Plate | ≥98% | AI recognition + HD imaging across multiple plate types |
| Container Number | ≥98% | Stable recognition in complex environments, ≤1 second per container |
| ISO Code | ≥98% | Standard container ISO-code recognition |
| Door Direction | ≥98% | Detect container door direction |
| Twin-Container Position | ≥98% | Fuse multiple data sources to identify empty / single / twin-container states |
| Dangerous-Goods Mark | ≥95% | Automatic recognition of dangerous-goods markings |
| Image Processing | ≥25 fps | Full visual traceability for investigation and dispute handling |
SMART GATE WORKFLOW
Real-World Recognition and Automated Release
Workflow Illustration · Sample DataThis module illustrates recognition, business validation, lane control and result write-back. IDs, states and timing shown in the interface are sample data.
FIELD TECHNOLOGY
The Challenge Is Reliable Recognition in Real-World Gate Conditions
Dedicated logic addresses tailgating, adjacent-lane interference, long vehicles and single/twin-container conditions.
Anti-Tailgating Detection
Radar + algorithm fusion reduces false triggers caused by closely following vehicles.
Anti-Collision Protection
Multiple detection mechanisms confirm vehicle-clear status before barrier movement.
Adjacent-Lane Isolation
Lane-level recognition prevents data from being associated with the wrong lane.
Single / Twin-Container Recognition
Fuse multiple data sources to identify empty, single and twin-container configurations.
Long-Vehicle Handling
Support recognition and workflow completion for extra-long vehicles.
Advanced AI-Assisted Recognition
Improve recognition and logical validation in complex scenarios.
APPLICATIONS
Designed for High-Frequency Vehicle and Container Gate Operations
Port TerminalsInland YardsLogistics ParksIntermodal Hubs
Connect Recognition, Business Validation and Field Control
For new-build or retrofit projects, we define lane layout, recognition scope, control interfaces and TOS/YMS integration around your current gate environment.