[Shenzhen,China— September 10, 2026] — Fuwei Smart has introduced its Container Number Recognition System for Reach Stackers, an AI vision-based solution designed to support automatic container identification during handling, transfer, and stacking operations in container yards.

The solution is developed for operational environments where reach stackers are frequently used to move and stack containers. By integrating visual recognition technology with equipment operations, the system is designed to reduce the need for repeated manual container number recording and provide structured container information for digital management.

AI Recognition Integrated into Reach Stacker Operations

In conventional container yard workflows, operators may need to visually check container numbers and record the information manually or enter it through handheld terminals. As the number of container movements increases, manual identification and data entry can add operational steps and create opportunities for recording errors.

Fuwei Smart's solution applies AI-powered computer vision to automatically capture and recognize container numbers and ISO container type codes during reach stacker operations.

The recognition data can be transmitted to a yard management system in real time, depending on the integration requirements of the deployment environment.

The resulting workflow can connect:

Reach Stacker Operation → Image Capture → AI Recognition → Data Transmission → Yard Management

Supporting Digital Container Yard Management

The recognition system is designed to provide container information that can be associated with operational data such as yard positions and handling tasks.

Potential applications include:

- Automatic container number identification
- ISO container type code recognition
- Real-time container information collection
- Container movement and location tracking
- Yard operation data management
- Reduction of repetitive manual data entry

By incorporating recognition into the handling process, container information can be collected closer to the point where the physical operation takes place.

From Manual Records to Connected Operational Data

For container yards undergoing digital transformation, equipment automation is only one part of the process. The ability to capture and connect operational data is also important.

AI-based container recognition provides a way to link the physical movement of containers with digital management systems.

Instead of relying solely on a separate manual recording process, the recognition system can collect container information during the operation and make the data available for subsequent management and analysis.

This approach can support a broader digital workflow covering container identification, tracking, yard management, and operational analysis.

Fuwei Smart's AI Vision Technology

Fuwei Smart develops AI vision recognition and smart IoT solutions for industrial and logistics applications. Its technology applications cover areas including container number recognition, railway wagon number recognition, smart gate systems, and container damage detection.

The company's reach stacker container recognition solution represents an application of AI vision technology within container yard operations, with a focus on connecting equipment activities with digital container information.

As ports, logistics parks, and inland container facilities continue to adopt digital technologies, automated visual recognition is becoming one of the tools available for reducing manual processes and improving the availability of operational data.

Fuwei Smart plans to continue developing AI vision applications for transportation and logistics scenarios, with an emphasis on practical integration between visual recognition, equipment, and management systems.

About Fuwei Smart

Fuwei Smart focuses on AI vision recognition and smart IoT solutions for ports, logistics, customs, railway, and other industrial applications. The company develops recognition systems and integrated solutions designed to support the digitalization and automation of operational environments.