AI and automation turn container gates into digital control points

Three gate functions—appointment management, driver identification and automated access—are converging into one workflow as terminals seek more capacity without expanding infrastructure. ABB and Certus Automation are turning container terminal gates into AI-assisted control points, automating truck transactions as terminals seek more capacity without expanding infrastructure. The gate has acquired a larger job description as AI imaging, automated transactions and real-time validation move routine work into machines.

Shalev Cohen, Sales & Business Development, OCR, at ABB, a global technology leader in electrification and automation, said: “The terminal gate is no longer just a checkpoint. It has become an intelligent operational hub.” The evolution now covers security, efficiency and supply-chain visibility through linked imaging, transactions and real-time validation.

Automating routine transactions and managing exceptions remotely can raise throughput, reduce manual work, improve safety and the working environment for clerks, while giving trucking partners a better experience. As the first and last landside data-capture point, the gate can supply trusted, real-time information to connected operations.

The pressure is not theoretical. Mark Willemsen, product manager at Netherlands-based Certus Automation, which specializes in optical character recognition (OCR), image processing and software development, points to traffic peaks, growing volumes and the need to use existing infrastructure better.

Larger vessels concentrate cargo flows and yard loads, while disruptions in the Strait of Hormuz can delay ships, bunch their calls and create unpredictable surges in truck and container volumes. Those peaks expose why isolated gate processes struggle.

From OCR checkpoint to operational hub

Traditional OCR-only systems read characters. AI-powered machine vision can also identify seal presence, hazardous-cargo placards, equipment types and container damage, giving terminals better asset visibility and operating decisions.

ABB’s Automated Gate System combines advanced OCR, neural-network-based imaging, driver self-service kiosks and terminal operating system integration. Its models continuously analyze images, classify cargo features and flag dents, holes, structural deformation and corner-casting damage. The system can process trucks with minimal or no human intervention while retaining transaction visibility and control and improving safety, security, productivity and data accuracy.

Integration matters as much as recognition. Links to appointment, booking and terminal operating systems let terminals validate transactions before arrival, optimize truck arrivals and improve yard planning. Remote operations automate routine movements and leave clerks to handle unusual transactions.

Cohen sees a wider convergence of automation, AI and data integration. Gate-data quality increasingly determines downstream performance, making the gate a strategic data hub rather than only a transaction-processing asset.

One truck visit, one digital thread

A truck arrival still looks simple from the cab: the driver confirms a transaction and proceeds. Behind it, a timeslot may need booking, the driver identified, the truck, trailer and container verified, the transaction processed and a yard destination issued.

When those steps sit in separate systems, information fragments. Drivers consult different sources, operators spend time resolving exceptions, and data captured at one step may not support the next.

Certus Automation’s answer is a connected driver journey spanning appointment management, driver identification,