The 8th edition of the Container Terminal Automation Conference (CTAC) was held for the first time in Valencia, Spain, on April 17 and 18, 2024. AllRead stood out for its contribution to the panel on intermodality and its focus on artificial intelligence (AI) technology to improve efficiency in container terminals. In addition to being a contributor to the 139th edition of the Port Technology International (PTI) magazine on automation. This article highlights use cases such as the integration of AllRead’s ARS solution into the Le Havre Container Terminal and the positive impact the solution has on reducing CO2 emissions and improving operational efficiency.
Optimizing Container Terminals Using AI
In an environment where ports and terminals face increasing pressure to improve efficiency, reduce environmental impact, and increase competitiveness, AI emerges as a key solution. Neural networks and deep learning allow algorithms to learn and find patterns in data, surpassing even some basic human skills. This is how AllRead’s Agile Recognition Software (ARS) solution, specialized to operate in the port industry, automates the identification, monitoring and tracking of cargo assets, minimizing delays and errors in logistics operations.
AllRead’s article in Port Technology International magazine explores in detail the impact of AI on container terminal automation. Some key points include:
- Operational Efficiency: AI enables significant improvements in operational efficiency by addressing challenges such as congestion and tracking accuracy. The implementation of AllRead’s agile recognition software at the Le Havre Container Terminal (LHTE) has made it possible to obtain a complete list of containers and wagons in minutes, significantly improving data quality and operational efficiency. [Learn more].
- Sustainability: AllRead’s technology contributes to environmental sustainability by optimizing logistics operations and reducing CO2 emissions. A case study shows the potential for CO2 reduction per year, reducing truck waiting times.
- Challenges and Solutions: The article also addresses the challenges of digital transformation in ports and how AllRead facilitates this transition with cost-effective and easy-to-implement solutions.
On the other hand, the installation of the ARS system at the Hutchison Port BEST terminal in Barcelona was carried out with minimal investment in infrastructure. With the installation of two off-the-shelf IP cameras and LED lighting at the entrance to the train terminal, the solution began to extract data vital to the operation. This led to an improvement in the efficiency of the operation, while reducing acquisition and maintenance costs by 60% to 80%. [Learn more]
To read the full article, visit issue 139 of Port Technology International: https://www.porttechnology.org/editions/container-terminal-automation-conference-2024/.
AllRead participation in CTAC 2024
During the Container Terminal Automation event, Adriaan Landman, COO and co-founder of AllRead, presented how AllRead’s technology contributes to intermodality and how it is impacting efficiency and sustainability in port operations.
Adriaan highlighted the critical interface between port terminals and regional, national and local markets. He pointed out that entry points, such as truck, crane and rail access, are crucial for the quality and efficiency of the entire logistics chain. A problem at these points can cause a significant domino effect, affecting the overall efficiency of the system.
On the other hand, despite the fact that OCR is a decades-old technology, AllRead has implemented the first railway OCR in Spain, in 2021 with the port authorities of Algeciras and Bilbao, among others.
“Our technology, based on neural networks and computer vision, allows for a lighter and more economical implementation, significantly reducing hardware and maintenance costs.”
Adriaan Landman
Future Vision and the Role of AllRead
With the exponential advancements in technology, the adoption of AI applications is inevitable to achieve a more efficient, sustainable, and resilient logistics ecosystem. AllRead’s mission is to support intermodal transport with AI technologies, improving the efficiency and sustainability of the port sector.
AllRead addresses these challenges with scalable and flexible solutions that easily integrate into existing infrastructure, facilitating a smoother transition to digital operations.
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