Port Container Number Recognition Solution | 99%+ Accuracy with Millisecond Response

Port container number recognition is a critical technology for intelligent port gate automation, improving operational efficiency while reducing labor costs. Fuwei Intelligent's Port Container Number Recognition System combines industrial-grade high-definition cameras with distributed AI edge computing terminals to achieve 99%+ container number recognition accuracy, 98%+ ISO container type code recognition accuracy, and millisecond-level response time. The system operates reliably 24/7, overcoming the limitations of conventional solutions such as blurred images, misidentification, sensitivity to adverse weather conditions, and single-point failures that can disrupt entire traffic lanes.

1. High-Definition Imaging with Intelligent Supplemental Lighting

The system utilizes industrial-grade high-resolution digital cameras to capture crystal-clear images, eliminating the image quality limitations commonly associated with traditional surveillance cameras. Integrated high-intensity flash lighting effectively compensates for challenging lighting conditions, including strong sunlight, backlighting, rain, fog, and nighttime environments. This ensures consistent recognition performance in all weather conditions and supports accurate identification of high-speed moving container trucks with distortion-free imaging.

2. Distributed Architecture for Maximum System Reliability

Unlike conventional centralized solutions that rely on a single server for each traffic lane, Fuwei adopts a distributed architecture, where every camera is paired with an independent AI processing terminal. If one terminal encounters a fault, only the corresponding camera is affected, while the remaining system continues operating normally. This architecture significantly reduces maintenance risks, prevents lane-wide shutdowns, and ensures uninterrupted 24/7 operation. Combined with industrial-grade hardware and embedded AI algorithms, the system delivers millisecond-level processing to maximize gate throughput and operational efficiency.

3. AI-Powered Automation for Cost Reduction and Efficiency

Powered by deep learning models trained on massive container image datasets, the AI engine accurately detects and recognizes container numbers and ISO type codes, even under challenging conditions such as dirty surfaces, tilted containers, and multiple viewing angles. Recognition results are uploaded to the management platform in real time and linked with captured images, vehicle videos, and timestamps, providing complete traceability and audit records. By replacing manual data entry, the system reduces labor costs, improves operational efficiency, minimizes human errors, and seamlessly integrates with existing port, terminal, and container yard management systems.

4. Flexible Deployment Across Multiple Port Scenarios

The solution is designed for a wide range of applications, including port gates, container yards, entry and exit checkpoints, and logistics terminals. It supports high-speed dynamic vehicle recognition and continuous 24/7 monitoring. Standardized APIs enable rapid integration with TOS, WMS, PLC, and other third-party management systems, allowing seamless data sharing and intelligent workflow automation.

Delivering Intelligent Container Recognition for Smart Ports

Fuwei Intelligent's Port Container Number Recognition System combines high-definition imaging, a distributed AI architecture, and advanced deep-learning algorithms to provide a highly accurate, stable, and easily integrated container recognition solution. Designed for modern smart ports, it enhances operational efficiency, supports digital transformation, and accelerates the realization of unmanned port operations.