Eco-efficient floating desalinator designed for rafts and lifeboats, constructed from disused life rings attached around the raft. The system incorporates a manual, self-inflating inner structure that forms a hemispherical dome. Through the action of the sun, seawater evaporates inside the raft and condenses on the inner walls of the dome. The droplets are collected through troughs and stored in vacuum bags by means of a system of pipette tubes. The estimated daily yield is up to 2 liters per life ring, enough to supply an 8-person life raft, complementing the 1.5 liters per person required by SOLAS regulations. DEFLO offers a sustainable and low-cost solution to improve water autonomy in maritime emergency situations.

This idea proposes the development of MARPORTS, an intelligent, hyper-connected and synchromodal solution for the management of MARPOL waste generated by ships, optimizing its collection, traceability and valorization in port environments.

The system will integrate technologies such as artificial intelligence, geolocation, real-time vision and predictive analytics to improve the logistical and environmental efficiency of the waste removal service regulated by Annexes I, IV, V and VI of the MARPOL Convention.

MARPORTS will enable port operators to plan and manage resources through an ERP with a traceability viewer, improving coordination between vessels, collection teams and final waste managers.

The solution will facilitate route prediction, intermediate waste segregation and improved recycling by providing real-time information on waste typology and destination.

In addition, it will contribute to regulatory compliance, increase transparency in service provision and promote the circular economy in the port-logistics sector.

MARPORTS is aligned with the objectives of the Ports 4.0 program and can be tested and implemented in different ports, demonstrating its applicability and scalability at national and international level.

BOLANTIC is a device designed to transform traditional port bollards into connected smart bollards, without the need to replace existing infrastructure.

The system allows real-time monitoring of the occupancy status of each bollard by means of pressure, contact or presence sensors, automating the tracking of usage and billing according to the vessel’s mooring time.

The technology is based on microcomputers such as Arduino or Raspberry Pi, integrated in a housing resistant to the marine environment, manufactured by 3D printing and powered by solar energy.

The information is transmitted via WiFi or 5G, and is complemented by an LED signaling system that visually indicates the status of the bollard using colors and flashing patterns.

BOLANTIC offers a low-cost, efficient and sustainable solution to digitize port management, improving operational transparency and reducing the need for manual supervision.

WINDISOCK is a digital windsock designed to improve operational safety in port facilities, especially in environments with adverse weather conditions and bulk solids handling.

The system combines a wind vane, a precision anemometer and a five-color visual traffic light indicating wind speed, visible both from the ground and from the air thanks to an integrated luminous beacon. It operates autonomously using solar energy and can incorporate additional sensors such as rain gauges, air quality, sirens or visual panels, adapting to the needs of each location.

It includes a connected digital platform to visualize data in real time, store it and apply machine learning techniques to optimize port operations through predictive analytics.

WINDISOCK transforms a traditional element into a smart, robust and connected tool, key to safety and efficiency in the ports of the future.

The tool is instrumented through a web page with an interactive viewer that allows to visualize the images of the quay faces over the years and to run the ML model developed by incorporating a new image, including locations, dimensions and possible recommendations for corrective actions.
digital tool for the detection and monitoring of cracks in quay faces and critical infrastructures, using high resolution 3D images and models. INTRAEMP combines photographs taken from ships with LIDAR technology, generating an accurate digital representation of the port environment. Through a Machine Learning model trained with its own or third-party image libraries, cracks are automatically identified and segmented, allowing to analyze their severity and evolution over time. The solution is implemented in a web platform with interactive viewer, which facilitates the historical visualization of the walls and the execution of the model on new images. The system provides detailed information on location, dimensions and possible recommendations for action, contributing to a preventive and efficient management of port maintenance.

Comprehensive solution based on digital twins and Virtual Reality (VR) to transform the way the port environment is viewed and interacted with. REPORT allows the creation of a digital twin of the port accessible from web experiences and VR environments, facilitating virtual tours and remote access to the existing digital infrastructure. This tool will be used for project planning, staff training and improved decision making through the visualization of historical and real-time data. The final product will include a room equipped with VR glasses and the loaded 3D model. Virtual set shooting capabilities will be integrated to generate audiovisual content without logistical constraints. The digital twin will have two levels: a global one with interactive points and real-time information, and a detailed one using Gaussian technology. Splattingwhich simplifies the creation of realistic and versatile 3D environments for multiple applications.

Artificial intelligence-based tool for tracking goods and managing berths in ports. The system uses cameras with AI technology integrated with specialized software that automatically measures the area occupied by goods, processing the data in the cloud. This solution makes it possible to streamline information gathering, store records for later analysis and provide visual evidence of the use of port space. It also facilitates the management of vessel docking and undocking times. The data generated can be sent directly to the billing department or integrated with port management software, automatically linking it to the vessel or the corresponding administrative authorization, thus improving operational efficiency and traceability.

Cybersecurity diagnostic and management software platform aimed at organizations and small or medium-sized companies with limited resources and without specialized personnel in digital security. It acts as a virtual CISO, allowing the control, prevention, follow-up and monitoring of risks and incidents related to information security. The tool performs dynamic threat analysis and evaluates the effectiveness of the measures adopted, issuing alerts in the event of regulatory changes, such as the entry into force of the European NIS2 directive. It also reviews the validity of implemented policies and safeguards. This solution contributes to ensuring security in the use of interconnected technologies and systems, facilitating the automation of processes and data exchange, key elements in the digital transformation of the port environment within the framework of Industry 4.0.

This idea proposes the research and validation of a new formulation of recycled compound from the mix of plastic waste generated in port environments, currently not valorized and with high environmental impact on coasts and marine ecosystems.

The project is based on the urgent need for sustainable solutions to the increase in plastic waste derived from maritime activity. Its objective is to transform this waste into a useful raw material, boosting the circular economy in the port sector.

PORTU-ZER0 seeks to develop a viable technical solution to segregate, treat and reuse plastics such as HDPE, LDPE, PP, EPS or PVC, present in buoys, boxes and fishing materials, generating a new recycled compound.

The initiative is aligned with the European “Zero Plastics to Landfill” objectives and promotes traceability, quality and standardization of recycling, fostering innovation throughout the plastics value chain.

The result will be a validated formulation at the proof-of-concept level, with potential for industrial scale-up and application in multiple sectors, from port logistics to the manufacture of new sustainable products.

This idea proposes the development of a mobile electric generator based on a green hydrogen fuel cell, capable of supplying up to 1 MW of power to docked ships. Its objective is to cover energy needs in situations of grid saturation or lack of electrical infrastructure in ports, without generating emissions or noise.

The system will experimentally combine fuel cell, battery and power electronics on a test bench, allowing validation of its performance against different ship energy profiles. It is not conceived as a fixed source, but as a flexible and scalable solution for cold ironing.

ZEH2OPS is aligned with port sustainability objectives, facilitating the transition to Green Ports through the use of renewable energies. Its innovative character lies in its capacity to adapt to multiple types of vessels, its mobility and its independence from the electrical grid.

This idea proposes the development of ALEX (Artificial intelligence Learning EXperience), an artificial intelligence-based expert system designed to free up operational time in companies and enhance their real capacity to innovate.

ALEX was created in response to the internal barriers that hinder innovation: rigid structures, task-centered leadership, ineffective communication and an organizational culture that does not favor creativity or experimentation.

The system focuses on transforming the Relationship and Communication Model within organizations, helping leaders become aware of their routines, free up time and redirect resources towards effective innovation.

Through AI, ALEX provides applied knowledge, practical tools and real-time measurement, allowing teams to learn as they apply, without relying on expensive consultants or external training.

The proposal seeks to have an impact especially in sectors such as infrastructure, logistics and ports, where operational pressure and lack of time hinder structural innovation.

This idea proposes the development of an advanced galvanic protection system for boats, based on nanotechnology and dipole contacts, which optimizes the use of sacrificial anodes such as zinc, aluminum or magnesium, reducing their wear and improving the efficiency of the system.

Passive corrosion in structural materials such as steel, cast iron or brass represents a critical challenge for the marine industry, affecting structural integrity and increasing maintenance costs. NANO-GALV approaches this problem from an energetic and quantum perspective.

The system introduces a functional layer based on dipolar contacts that redirects the flow of electrons from the electrolyte to the cathode (steel), minimizing the need for ionization of the metal anode and thus its degradation.

This allows the design of smaller, lighter and more durable anodes, reducing the ship’s drag, operating costs and dependence on strategic metals, in line with European sustainability and circular economy policies.

NANO-GALV draws on recent advances in nanotechnology applied to functional coatings, inspired by developments in electronics and semiconductor physics, to offer a disruptive and scalable solution in the maritime sector.

This idea proposes the development of EnerPort, an advanced digital solution for the intelligent management of collective self-consumption in logistic-port environments, based on emerging technologies such as neural networks and optimization algorithms.

EnerPort was created in the context of a global climate emergency, with the aim of contributing to the decarbonization of the energy sector, in line with European commitments to reduce emissions by 55% by 2030.

The project addresses the challenges of shared self-consumption, where efficiency in energy distribution is key to maximize savings and minimize economic losses, especially in installations with variable consumption profiles.

EnerPort digitizes energy management, enabling dynamic and adaptive planning of renewable energy delivery, optimizing flows in real time and facilitating coordination between multiple users.

The solution focuses on the port environment, an energy-intensive sector with high pressure to reduce its environmental footprint, offering a tool that improves both sustainability and operational profitability.

EnerPort is positioned as a catalyst for energy transition in ports, promoting collective self-consumption as a strategic axis to achieve a cleaner, more efficient and resilient energy model.

Whale Platform is a submerged floating platform, based on Archimedes’ principle, designed to lift and launch large vessels in shipyards more efficiently and safely.

Unlike the Syncrolift, it does not require synchronized motors and cables, which reduces operational complexity and increases load capacity.

The system operates by means of watertight compartments that are filled or emptied by pumps, controlled by software to keep the platform stable and horizontal. The upper structure supports the vessel and allows it to be transferred to land once the dock level is reached. This solution eliminates the problems of leveling, structural wear and load limitations of current systems.

Whale Platform represents a disruptive innovation in the marine industry, with the potential to transform shipbuilding and maintenance processes.

VesselChain proposes a public, unmodifiable blockchain-based database to record the technical, environmental and operational history of each vessel. Each ship will have an NFT that will store key data such as inspections, maintenance, fuel consumption or MARPOL discharges. This will allow shipowners to reduce their administrative burden and brokers to verify in real time the compliance of contracted vessels.

The repairers will be able to anticipate services according to the vessel’s route, and the port authorities will have direct access to the documentation without additional formalities.

The solution improves the transparency, efficiency and sustainability of global shipping in a context of increasing regulatory and geopolitical pressure.

VesselChain turns traceability into a competitive advantage for the entire maritime logistics chain.

PortPal is a digital solution designed by and for port agents, which automates repetitive tasks and drastically reduces the daily operational burden on consignees. The tool integrates an Outlook plug-in with AI to process emails, a web application with a calendar of escalations and a system of automated actions. It allows you to manage tasks such as cab alerts, dispatch letters or ETA updates in minutes instead of hours.

PortPal transforms manual processes into efficient digital flows, improving productivity and reducing errors. The solution responds to a real need in the industry, where scattered tools such as Excel, Word or Trello are currently used.

OFNI is a system for early detection from the air of floating objects dangerous to shipping, people or the environment, such as lost containers, shipwrecks or spills. It uses artificial intelligence models (CNNs) embedded in edge computing devices onboard medium-sized drones.

The system identifies, geolocates and transmits the position of objects such as rafts, people, hydrocarbons or drifting nets in real time. Its compact design, low power consumption and autonomy make it ideal for fast and safe operations in maritime environments. OFNI allows early action in the event of environmental or safety risks, reducing damage and improving operational response.

VALUE PORTS is a SaaS digital tool designed to help port authorities assess, value and manage their impact on natural capital. Through a multi-device web application, it allows the integration of real-time environmental data (such as water quality, biodiversity, emissions or pollutants) by means of automated sensors.

The solution facilitates environmental reporting, risk and opportunity identification, and strategic decision making based on financial and non-financial data. It also allows the analysis of environmental improvement measures and the selection of the most cost-effective ones.

VALUE PORTS aligns with the main international natural capital frameworks, ensuring their applicability and usefulness in different regulatory contexts. It aims to prepare ports for new regulatory and market requirements, promoting proactive, transparent and value-added oriented environmental management for nature, economy and society.

ZONBI is a new canine training bait designed to improve the detection of fentanyl, an extremely dangerous drug both by consumption and accidental handling. The bait contains only the active molecules of fentanyl or its derivatives in vapor phase, ensuring realistic detection without risk of overdose for dogs or agents.

The tool is safe, easy to use and requires no prior preparation, allowing for more efficient and selective training. Its design faithfully simulates real scenarios, even when the substance is camouflaged.

With the growing threat of illegal fentanyl trafficking at ports and airports, ZONBI offers an effective solution to strengthen border controls. By facilitating the training of detection dogs, it improves the security of the logistics chain and reduces reliance on costly or ineffective inspection methods.

ZONBI represents a key advance in the fight against high-risk drug trafficking.

BIOREMED proposes the industrial use of cultured seaweed to mitigate pollution in marine environments by capturing heavy metals, excess nutrients and carbon dioxide, thus contributing to the reduction of ocean acidification. The project focuses not only on bioremediation, but also on the valorization of algae as a renewable source of bioactive compounds: proteins, lipids, amino acids and vitamins.

After the extraction and recovery of the metals captured, the potential of these algae for industrial applications in sectors such as food, cosmetics, bioenergy, agriculture and green chemistry will be analyzed.

BIOREMED promotes a circular blue economy, integrating environmental sustainability and economic use of marine resources, with an innovative and scalable approach.

TRAZA-NIR is an IoT platform that enables real-time monitoring of bulk commodities during loading, unloading and storage at ports, using sensors based on near infrared spectroscopy (NIRS).

The solution automatically obtains key material properties, ensuring quality control from source to destination. This information is certified through blockchain technology, ensuring its integrity and traceability.

The platform incorporates artificial intelligence to continuously update predictive models, facilitating fast and accurate operational decisions by logistics operators and cargo owners.

TRAZA-NIR responds to the growing need for digitalization and transparency in port management, improving the efficiency, safety and competitiveness of maritime trade.

TRUECOLD.IO is a SaaS platform designed to provide complete, real-time traceability of the cold chain, regardless of the tracking hardware or logistics provider used.

It aims to become the reference data layer for temperature-controlled shipments, enabling the creation of end-to-end logistics control towers.

The platform generates actionable alerts to prevent thermal deviations that could compromise product integrity, and streamlines incident management.

Designed under an API-first approach, TRUECOLD.IO integrates easily into customers’ operational and quality systems, without imposing the exclusive use of its interface.

This solution brings efficiency, interoperability and control to critical sectors such as food, pharmaceuticals and advanced logistics, where maintaining the right temperature is key to product safety and value.

This project complements the MobilePilot system, a smartphone-controlled, shaft-driven smart steering wheel designed for autonomous navigation of sport and recreational boats.

The new proposal seeks to incorporate electronic power steering without the need for force moment sensors, which are common but costly in automotive systems. Instead, a machine learning-based algorithm will be developed that learns in real time the dynamics of the steering system.

This will allow to estimate the force exerted by the user and automatically apply the necessary reinforcement for a smoother, more accurate and comfortable navigation.

The system will integrate with the existing smart steering wheel, enhancing the manual navigation experience without significantly increasing costs.

This innovation brings helm-assist technology closer to the recreational boating sector, providing safety, comfort and accessibility through intelligent and affordable solutions.

SUSTECHBOOKLOOK is a technological platform designed to evaluate and improve the sustainability of nautical-sports facilities and companies in the recreational boating sector. Based on GRI (Global Reporting Initiative) standards, it allows analyzing performance in three key dimensions: Good Governance, Human Capital and Environment, generating customized reports and practical recommendations.

The tool responds to the growing demand for transparency from regulators and stakeholders, helping companies to identify areas for improvement and demonstrate their commitment to sustainability and corporate social responsibility. Easy to use and accessible from any device, the platform is intended to become an industry benchmark, with plans to incorporate predictive analytics capabilities through artificial intelligence and machine learning.

SUSTECHBOOKLOOK drives the sustainable transformation of the marine industry, facilitating strategic decisions based on data and best practices.

DQ4SP is an advanced digital tool designed to improve data quality in the port ecosystem, regardless of the level of digitization of the actors involved. Using artificial intelligence, the platform automatically identifies, standardizes and normalizes data, detects outliers and performs missing data imputations, promoting interoperability between systems and operators.

In addition, it integrates analytical and predictive capabilities that allow extracting strategic and operational value from the data processed, facilitating decision making based on reliable information. Its intuitive interface is designed to be used by users without advanced technical knowledge, democratizing access to technology and promoting the digitization of small port companies.

DQ4SP solves today’s problems of heterogeneity and poor data quality, enabling efficient, cohesive and accessible information management in complex and diverse port environments.

GALIBO3D is a technological solution that combines artificial vision, LIDAR sensors and data analysis to anticipate interferences between special vehicles and road infrastructure elements. The system generates a “3D virtual tunnel” that represents the free space required for the safe passage of the vehicle, considering parameters such as length, width and turning capacity.

The environment is modeled using LIDAR and, with artificial vision, signs, traffic lights, protections, vegetation and other assets that may invade that space are automatically detected and classified. This allows infrastructure managers to analyze in advance the feasibility of the passage of special transports and to plan necessary interventions more accurately and efficiently.

GALIBO3D automates a currently manual and costly process, improving safety, reducing analysis times and optimizing the management of special routes in urban and interurban environments.

PYROLINA is a new flame-retardant gel developed from chitosan, a natural polymer derived from chitin, with the aim of replacing current extinguishing gels that contain microplastics and do not comply with current environmental regulations.

The gel is designed to be sprayed by means of a patented lance capable of emulsifying the compound in seconds, making it possible to extinguish fires, make surfaces fireproof and seal toxic materials to prevent their release.

PYROLINA seeks to maintain the efficacy of the original gel, but with an ecological, innocuous, affordable formulation based on circular economy, taking advantage of the properties of chitosan as a gelling, bactericidal, chelating and film-forming agent.

This innovative solution offers a sustainable alternative for fire suppression in sensitive environments, improving operational safety and reducing the environmental impact of emergency interventions.

Artificial intelligence-based software designed to optimize image transmission in remote maritime areas, where communications are limited due to lack of mobile coverage or broadband infrastructure. MERES drastically reduces the weight of images through a compression, encoding and decompression process based on autoencoder neural networks, which saves costs by reducing the necessary bandwidth. In addition, it incorporates super-resolution algorithms that improve image quality at the point of reception. This approach preserves the relevant information in the transmitted images, which can be decoded by the same AI model at the destination. Thanks to this technology, it is possible to send large volumes of data without relying on expensive or slow connections, such as satellite communications or low-speed mobile networks, ensuring efficient monitoring in environments with limited connectivity.

Energy optimization software for port infrastructures that considers the port as an intelligent microgrid. Through artificial intelligence algorithms, GENERPORT makes it possible to forecast energy demand – conditioned by the arrival of ships and their need for OPS – and renewable generation, also integrating meteorological variables. This tool facilitates strategic decision-making for efficient management of energy flows, aligned with self-consumption and sustainability. The system promotes the active participation of demand in the port’s electrical operation, seeking a balance between consumption and generation, and maximizing the use of available renewable energies. This promotes an effective energy transition in the port environment, reducing costs and improving operational efficiency.

Spatial Intelligence as a Service (GlaaS) for real-time monitoring of mobile entities in port environments. HARBORSCAN integrates computer vision, tele-geolocation algorithms, GIS and Machine Learning, using strategically located HD camera nodes. This solution makes it possible to detect, recognize, track and geolocate in real time elements such as trucks, cranes, containers or personnel, without the need for additional sensors or GPS. The information generated is dynamically integrated into digital twin platforms or control and security systems through APIs based on Websockets. The result is an accurate and up-to-date representation of the status and location of mobile entities, improving operational efficiency and real-time decision making.

Web platform that integrates and analyzes multiple data sources, currently disaggregated and with diverse structures, both public and private, including information from users in the port community. Using an artificial intelligence-based model and a digital twin approach, the tool automates reports and generates valuable information to optimize maritime supply chains. It incorporates route and schedule optimization algorithms, predictive cargo demand analysis, and real-time monitoring of imports and exports. It offers three types of analysis adapted to the different profiles of the port ecosystem: comprehensive analysis of traffic evolution and opportunities; sectoral insights by type of goods, traffic or geographic area; and customized reports according to specific needs. This solution improves the operational and strategic efficiency of the port community, including authorities, logistics operators and shippers.

New functionality based on artificial intelligence for a tool already under development, aimed at certifying companies’ plastic footprint compensation through real-time recovery actions. This mobile application allows collaborating recyclers to record geolocated data, images and videos during recovery actions, especially in ecologically sensitive areas. Integrated AI models automatically verify and validate data and digital media, detecting duplicates or fraud. The information is instantly displayed on a pre-developed cloud-based impact dashboard, providing each client with immediate and verifiable proof of their environmental contribution. Unlike credits for past actions, this solution triggers recovery missions in real time, ensuring transparency and avoiding image laundering. The tool seeks to empower companies in the fight against plastic pollution, especially in the oceans.

Product in spray format developed from chitosan and other innocuous components, designed to neutralize bad odors in port environments, especially in fish markets. Olfactory contamination can cause discomfort and transmit a negative image of the facilities. Chitosan, derived from chitin present in crustacean shells, has multiple properties: flocculant, absorbent, bactericidal, fungicidal, chelating, antioxidant, among others. Its chemical structure allows it to interact with volatile organic compounds (VOCs), responsible for bad odors, forming bonds that neutralize them. In addition, its antimicrobial properties inhibit the growth of bacteria that degrade organic matter and release these compounds into the environment. FRESHLOCK offers an effective, natural and sustainable solution to improve environmental perception in sensitive port areas.

Deepening of smart contracts applied to port logistics through the integration of artificial intelligence in the blockchain consensus protocol, under the concept of Turing Test Blockchain. This technology introduces the Proof of Personhood (PoP) mechanism, which seeks to guarantee that behind each digital identity there is a unique human being, thus solving the problem of false identities. Access to the network is conditional on passing CAPTCHA-type tests, as a question-answer authentication method. This proposal raises technical challenges such as the frequency of “rituals”, the automatic generation of puzzles and ethical and governance issues. Its application in smart contracts seeks to set a new standard for cybersecurity in the supply chain, improving digital identity verification, fraud protection and transparency in logistics processes by hybridizing blockchain and AI.

Project focused on the identification of bacterial strains capable of degrading microplastics and nanoplastics in the marine environment of the Port of Tarragona and its adjacent coast. The initiative seeks to mitigate the environmental impact of these pollutants by studying the plastisphere, i.e. the microbial biofilms that form on the surface of plastics. Through this approach, the aim is to isolate and characterize microorganisms with degrading capacity, laying the foundations for the development of biotechnological solutions applicable to the sustainability of the logistics-port system. This technology will contribute to reduce the accumulation of plastics in the marine environment, promoting a more responsible environmental management aligned with sustainability objectives.

Digital twin SaaS platform oriented to the simulation, prediction and optimization of maritime operations and port services. Its objective is to improve the efficiency of the vessel’s navigation, its passage through the port and port call times, optimizing the use of the berthing line. Based on real data from the port environment -such as traffic records, services rendered, weather conditions or waiting times-, the platform provides strategic and operational recommendations, fed in real time with information from the Service Control Center. It is not a general berth planner, but a specific tool to optimize the allocation of technical-nautical services and cargo handling operations. Indirect benefits include carbon footprint reduction, improved transparency and operational resilience, contributing to a more sustainable and efficient port management.

Fiber optic leak detection system for liquid and gas containment elements, capable of operating continuously or periodically in semi-real time. It detects variations of parameters such as temperature or deformation that may indicate a leak. The system consists of: optical fiber (single-mode or multimode) as the main sensor, with the possibility of incorporating copper filament for thermal control; a DFOS interrogator (mainly DTS) that emits and receives signals sensitive to external changes; analysis software that locates and alerts on anomalies; and geoelectric cabling to evaluate the magnitude and behavior of the leak. It also includes temperature sensors to compare with fiber data and cable protection elements. This solution enables accurate, localized and automated detection, improving the ability to respond to leakage incidents.

Development of concrete structures for submerged marine infrastructures, manufactured with low carbon footprint and seawater resistant cement, in compliance with current regulations. These structures incorporate additions from industrial, agricultural or urban waste by-products, compatible with marine life, which modify the chemistry of the concrete to accelerate the regeneration of biodiversity. The objective is to offer efficient and cost-effective solutions to biodiversity loss and habitat degradation in port environments. REGENPORTS BIOSEARCULAR promotes a “Nature-Positive” approach to infrastructure design and construction, driving a shift towards port management models that favor marine regeneration and environmental sustainability.

Navigation aid system for the visually impaired, based on IoT, data sonification, immersive and binaural sound, and artificial intelligence. CAPTAIN LAZARILLO seeks to make sailing more inclusive, allowing blind sailors to participate in regattas with greater autonomy and safety. A mobile application will be developed that will act as the main sensor and communicator, providing real-time information on boat orientation, proximity to obstacles and other vessels (via AIS), heel, and key locations such as buoys or port entrances. The information will be transmitted via waterproof bone conduction headphones. The app will have user-configurable operating modes and alerts. From the data collected, AI-based functionalities will be integrated, such as course estimation based on speed, direction and heel. An accessible and innovative solution to democratize access to water sports.

Feasibility study for the implementation of a modular CO₂ capture plant on board ships, based on HECO (High Efficiency Contact) technology. This solution seeks to significantly reduce CO₂ emissions from shipping, overcoming the space, efficiency and cost limitations of traditional methods. The HECO technology, developed and patented by the applicant entity, is based on the highly energy efficient spouted bed system. The process transforms CO₂ emissions into carbonates and other reactive phases through thermal treatment of waste, allowing its industrial valorization. This proposal not only contributes to compliance with environmental regulations, but also promotes the circular economy by integrating waste management into the capture process itself.

Multidomain, automatic and continuous system, articulated as SaaS, that combines satellite data with depth measurements obtained by IoT buoys to generate calibrated, high spatial and temporal resolution bathymetric maps at low cost. The solution deploys a network of inexpensive buoys equipped with depth sensors, Galileo GNSS receivers and mobile connectivity. With only 5 to 10 calibration points, BDS algorithms applied to Sentinel-2 satellite data can infer maps of up to 20 km of coastline and 15 meters depth. Thanks to the satellite’s five-day revisit time and real-time transmission from the buoys, high-frequency bathymetric maps are generated. This time series of data also allows the development of predictive models of the state of the seabed. Software automation and the use of connected buoys eliminate the need for costly bathymetric campaigns, significantly reducing human intervention.

Artificial intelligence software to assist in the mooring maneuvers of small and medium-sized recreational boats that do not have perception sensors or lateral motors. Its objective is to democratize mooring automation, reducing costs and making it accessible. It leverages the sensorization of the MobilePilot product, funded by Ports 4.0 (second call, pre-commercial mode), as additional functionality, requiring only a smart steering wheel and the navigator’s smartphone. The system is based on a database of successful maneuvers for a specific vessel and mooring, using position (GPS) and rudder sensors to estimate speed and direction. Using machine learning algorithms, it learns from previous maneuvers and selects the most appropriate maneuver in each situation. It provides automatic instructions to the user during mooring, with the ability to take control when conditions permit, taking advantage of the fact that these vessels usually moor in the same home port.

Advanced platform for the development and efficient management of Renewable Energy Communities in port environments. COENERP allows Port Authorities and companies located in the enclosure to optimize the use of distributed generation and storage assets, both own and shared, under a collective self-consumption model. The solution offers complete digital tools to plan, size, implement, operate and monitor energy communities, all from intuitive interfaces. The goal is to maximize energy self-sufficiency, reduce grid dependency and improve the profitability of renewable assets. In addition, it allows energy to be supplied to ships at tariffs independent of the electricity market. COENERP drives a more sustainable and efficient energy model, aligned with economic and environmental objectives, promoting collaboration between port stakeholders under a collective approach.

This digital platform allows planning and optimizing the infrastructure for power supply to ships in port (OPS), using AIS data to anticipate energy demand accurately and in real time.

By intelligently analyzing AIS information – location, type, size and movement of vessels – the tool calculates potential energy demand based on current and forecast maritime traffic. The system makes it possible to predict which ships will dock, how long they will stay and what their energy needs will be, facilitating efficient power supply management and avoiding oversizing or shortages.

The platform drives the energy transition in ports, improving operational sustainability and reducing emissions through planning based on real and predictive data. It is a key solution for moving towards smart, sustainable ports that are prepared for the energy challenges of the future.

DIQNAT proposes the development of 3D printed modular coatings that integrate into existing port infrastructures to promote marine biodiversity and improve environmental sustainability. These hexagonal-shaped modules are manufactured with innovative concrete mixes based on single-phase geopolymers, which recover waste and eliminate or reduce the use of Portland cement, thus reducing the carbon footprint.

The objective is to create ecological microhabitats that favor biological recruitment, carbon sequestration and improvement of water quality in port environments. DIQNAT seeks new 3D printing techniques and sustainable materials to adapt current infrastructures to environmental challenges, turning them into allies of nature. The solution combines engineering, sustainability and advanced technology to transform ports into spaces that are more resilient and respectful of marine ecosystems.

INGURU-PREDICT is an advanced port environmental impact assessment and prediction system, based on the “Elastic Cloud – Big Data” platform and deployed in a secure private cloud. It uses satellite imagery, real-time sensors and artificial intelligence to monitor key water indicators such as turbidity, chlorophyll and hydrocarbons, representative of marine biodiversity in harbor environments.

The system makes it possible to anticipate environmental risk situations, simulate future scenarios and generate operational recommendations to minimize the impact of port activities. Its objective is to facilitate proactive, data-driven management, ensuring regulatory compliance and promoting the sustainability of operations.

INGURU-PREDICT turns environmental information into a strategic tool for port planning, integrating science, technology and sustainability into a single digital solution.

SZR proposes the development of Autonomous Mobile Robots (AMR) adapted to operate in logistics environments at extreme temperatures, down to -18 °C, automating processes such as container unloading, pallet loading and transport to the warehouse.

The project includes the upgrade of key components (sensors, cameras, batteries, controllers) and the redesign of materials, electrical systems, internal heating, thermal insulation and sealing to ensure operation in extreme cold conditions.

Anti-slip solutions will also be studied to improve traction on slippery floors, ensuring stability and operational efficiency.

The robots will be managed by a proprietary fleet management system, fully integrated with the customer’s systems, providing traceability and real-time data.

SZR represents a key breakthrough in cold chain automation, improving safety, efficiency and operational continuity in sectors such as food, pharmaceuticals and port logistics.