포트 가디언 AI: 실시간 해안 기반 탄소 인텔리전스 시스템

Background Problem: Ports worldwide are facing increasing regulatory pressure regarding significant carbon and air pollution caused by ships. However, currently, it is difficult to accurately determine emissions as it relies on estimates of ship fuel usage or self-reporting. This makes it challenging to pinpoint responsibility for which ship emitted how much pollutants and to measure the effectiveness of reduction efforts.

Limitations of Existing Methods: Some ports have attempted to measure only the total amount at port air monitoring stations or install sensors on ships. However, installing sensors on each ship is difficult due to cost and cooperation issues, and existing estimation models are insufficient for regulatory grounds because they do not allow real-time tracking of individual ships. As a result, port authorities face limitations in effectively enforcing environmental regulations even after creating them.

Non-Invasive Real-Time Monitoring: Port Guardian AI tracks the emissions of each ship in the port in real-time using only land-based sensors and AI models. Since no equipment is installed on the ship, it can cover any ship worldwide and does not interfere with port operations. This is a world-first attempt and, unlike existing solutions, has low barriers to entry and excellent scalability.

Accurate Ship-Specific Data: With a patented wind direction tracking AI model that combines AIS (Automatic Identification System), weather data (wind direction and speed), and diffusion models, it identifies which of the many ships is a high emitter. This provides precise data by source of emissions, allowing port authorities to take measures such as imposing fines on specific ships or adjusting berthing priorities.

ESG Management and Carbon Market Linkage: The reliable data produced by the platform allows ports to prove the feasibility of introducing AMP (Alternative Maritime Power) or for shipping companies to utilize carbon emission trading. In other words, it is differentiated as a comprehensive solution that goes beyond simple monitoring to connect environmental regulation compliance and incentive provision. In short, Port Guardian AI is a game-changer that "visualizes previously invisible fumes to drive action."

Entities that will bear the actual costs: Port corporations and port management authorities around the world are the main customers. For example, Busan Port Authority, LA Port, etc. can adopt this system and use it as their own environmental management platform. AlsoGovernment agencies that enforce environmental regulations (B2G)promote installation in their jurisdiction, orLarge terminal operators (B2B)may adopt it to achieve ESG goals.

B2C/B2B/B2G Status: B2G and B2B. It is a field closely related to public interest and is sold in the form of government or public enterprise orders. At the same time, it can be provided as a monitoring service for shipping companies in cooperation with large shipping companies (B2B2B form).

Environmental/National Constraints: In line with global regulatory trends such as the IMO's (International Maritime Organization) 2030 and 2050 carbon reduction targets, all ports, whether in developed or developing countries, are potential markets. Technically, it can be applied to any country's port because it utilizes standard data such as AIS. However, there are no major restrictions, only the speed of adoption varies depending on the will of each country to enforce environmental regulations.

Industry/Market Scalability: Although we will initially focus on the maritime port sector, the technology can be expanded and applied to monitoring aircraft emissions at airports or tracking emissions from industrial complexes. DataFlare is also involved in the maritime cybersecurity business, so there is a possibility of expanding into a comprehensive port IT solution company. Since there are hundreds of major ports around the world that are potential customers, the market size is also considerable.

CES Award Context: As an Innovation Award winner in the Enterprise Tech category, it was recognized as a model case of AI utilization that combines industry and the environment. In particular, the implementation of data-based transparent environmental management from the perspective of "making the invisible visible" was highly evaluated. At the time of the Innovation Award announcement, it was also highlighted as a technology related to carbon neutrality, which means that its technology was recognized on the international stage.

Technological Completeness: It is known that accuracy has already been verified through pilot projects in Busan Port, etc. The accuracy of wind and wave modeling and AI algorithms has reached a level sufficient for regulatory use, and related patents have been secured to build technological barriers to entry. However, real-time large-capacity data processing and system stability are key, and it is evaluated that this is stably implemented in the cloud so that it operates without performance degradation even when expanded.

Market Expectations: The port operating industry is showing great interest, saying, "Finally, we have a tool to capture the emissions of each ship." Leading eco-friendly ports in Europe and North America are competing to review the introduction, and ports that have declared ESG management in Asia are also interested. In particular, it is highly likely to become an essential solution for those aiming for carbon-neutral ports.

Overestimation/Underestimation Factors: Until now, it is unclear how quickly conservative port authorities will adopt it because it is a new technology developed by a startup. Since decision-making is slow in the large-scale infrastructure sector, the speed of short-term commercialization should not be overestimated. However, since the international environmental regulation schedule is set, demand will eventually explode, so in the mid- to long-term, the company's preemptive position may be very advantageous and may be underestimated.