LMT Group has demonstrated a new artificial intelligence solution designed to monitor port equipment activity and estimate greenhouse gas (GHG) emissions. The technology was showcased on April 15, 2026, during the Germany–Latvia Ports Days in Hamburg.
Data-Driven Emissions Tracking
The system utilizes video analytics and vision-language models to analyze real-time video feeds from port territories. By identifying the movement of vehicles and machinery, the tool can measure the intensity and duration of activity.
This information is then linked with emissions data to generate time-stamped reports. This process allows port operators to pinpoint exactly where emissions are generated and identify which equipment requires optimization.
The Shift to Vision-Language Models
Unlike traditional computer vision that relies on predefined datasets, this solution uses vision-language models. This allows the system to interpret unstructured visual data and adapt to new environmental conditions without needing to be retrained.
Kārlis Kalniņš, Computer Vision & Edge AI Product Owner at LMT Group, noted that this approach allows for instant adaptation to new variables, such as a new vehicle type entering a terminal. He emphasized a “privacy-by-design” framework that analyzes visual characteristics without identifying license plates or people.
Strategic Partnerships and Compliance
The demonstration follows a June 2025 Memorandum of Understanding (MoU) on Digital Innovation and Resilience in Ports. This agreement includes the Port of Riga, the Hamburg Port Authority, LVR Flote, Flotte Hamburg GmbH & Co. KG, LMT Group, and the Electronic Communications Office of Latvia.
Karsten Schönewald, Managing Director of Flotte Hamburg, stated that precise and reliable data is essential for decision-making as ports move toward climate neutrality. He noted that such innovative approaches contribute to both environmental performance and operational efficiency.
Broader Maritime Connectivity
Beyond emissions tracking, LMT Group provides other maritime connectivity tools. These include a private 5G network for port infrastructure, currently operational at the Baltic Container Terminal in Freeport of Riga and under testing in other European ports.
The company has also developed a method for providing offshore 5G connectivity in open waters using a unique multi-hop principle.
Future Implications
With CO2 neutrality now a legal mandate in Europe, the adoption of such AI tools could become a standard for maritime compliance. Ports may increasingly rely on these systems to manage the high stakes of EU carbon payments.
A possible next step could involve the expansion of this technology to other logistics hubs, as LMT has already applied a similar approach to airport environments. This may lead to more integrated, cross-sector emissions reporting across European transport infrastructure.
Frequently Asked Questions
How does the LMT solution differ from traditional computer vision?
Traditional computer vision relies on predefined datasets, whereas this solution uses vision-language models that interpret unstructured visual data and adapt to new conditions without retraining.
How is privacy maintained during the monitoring process?
The system uses a “privacy-by-design” framework that analyzes visual characteristics to drive efficiency without identifying individual people or license plates.
Which organizations are part of the June 2025 Memorandum of Understanding?
The MoU was signed by the Port of Riga, the Hamburg Port Authority, LVR Flote, Flotte Hamburg GmbH & Co. KG, LMT Group, and the Electronic Communications Office of Latvia.
Do you believe real-time AI monitoring will be the primary driver for ports achieving carbon neutrality?
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