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Optimizing terminal flow means getting containers on and off ships at the quay, loaded or unloaded from trucks and rail cars, retrieved from or stored in the terminal yard, and sent to their next destination as efficiently as possible, after having correctly detected, recognized and processed identity elements. An optimal flow also reduces energy consumption and emissions. In manually operated terminals, these movements require human supervision. Optical Character Recognition (OCR), using cameras, has partially automated the process of identifying equipment IDs, but now artificial intelligence (AI) has created even more opportunities to improve accuracy, detect additional features for automation, and reduce the need for manual intervention.
This article discusses how using AI together with state-of-the-art software and hardware solutions allows highly efficient and automated processing of complex container handling. Building on its long history providing market-leading systems to ports and terminals globally, ABB has extensive expertise and experience in AI, deploying algorithms and cutting-edge components to provide industrial-quality, high-performance accuracy for many terminal tasks. The trend towards increasing the autonomy of terminal operations requires robust and reliable systems, with AI technology facilitating this evolution.
