Project Partners
Read More About Our Project Partners
OceanSync is a marine weather company based in Halifax, Nova Scotia, that enables shipping companies to curate a digital meteorological database for their fleets so that one can fully understand the effects that the weather and oceans have on their vessels.
Maritime
Halifax, Nova Scotia
Inferring marine weather using machine learning models
The overarching goal of this project was to develop a machine learning model for inferring
environmental conditions trained on OceanSync’s proprietary real-time, high-resolution marine weather
datasets.
Glas Ocean Electric (GOE) is committed to scaling the impact and benefits associated with introducing cleaner energy to coastal waters. Through our electric boat kits used to convert existing and new boats to electric propulsion, we are poised to displace millions of tonnes of CO2 by 2030. Additionally, we strive to reduce emissions and optimize vessel efficiency through our PerforMarine device. GOE works hard to ensure the solutions provided are both technically and financially viable.
Marine Engineering
Halifax, Nova Scotia
Pairing Meteorological and Power Data for Marine Hybrid Electric Boats
A trained regression model used to predict boats fuel consumption and greenhouse gas emissions in various conditions.
GSTS is a leader in Artificial Intelligence solutions for the maritime domain. Our solutions are designed to save lives, energy, and the environment and support logistic resilience on a global scale through the use of innovative applications based on emerging data sets and analytics. Our solutions enable enhanced decision-based operations for civil, commercial and defense and security agencies and industries.
Maritime, AI Technology
Dartmouth, Nova Scotia
Whales from Space
Surveying Baleen Whales in the Gulf of St. Lawrence using VHR Satellite Imagery.
On the path to cleaner air, Katal has developed Ionic Clean, a drop-in nano-ionic fuel that significantly reduces harmful emissions such as NOx and PM, while improving engine health. Katal provides an easy-to-adopt solution that leverages existing infrastructure, has economic benefits, and can start reducing emissions today. Our mission is to work with existing emission reduction technology and renewable energy sources to further reduce companies’ environmental footprint, positively impacting healthcare costs and mortality rates.
Oil and Gas
Calgary, AB
Data Structure and Data Collection Design
Model created to gather and synthesize data from various customer assets and internal test engines.
Dartmouth Ocean Technologies Inc. (DOT) is a sensor platform-based company offering sensors, samplers and various sensor platforms for use in the oceans, lakes and waterways of the world. With a team that has extensive experience in the ocean technology sector, we are ready to help solve your ocean measurement needs. We offer an extensive line of sensors, samplers and sensing platforms, and can integrate the required sensors to meet your requirements. DOT manufactures towed moored platforms, and a variety of Lab-on-Chip (LOC) sensors and samplers.
Ocean technology, nutrient sensing and eDNA.
Dartmouth, NS
eDNA Data Organization
Experimenting with microfluidics and design and control of solenoid valve packs.
Oxebow Enterprises is focused on design and development of practical innovations that increase productivity in the fishing and maritime industry. Optimizing the time spent on the water for people making a living at sea is an integral piece of each Oxebow solution.
Fishing, Maritime
Yarmouth, Nova Scotia
Crustacean Carapace Assessment: Training the Model
The development of our 2D image machine learning model. This model allows conventional 2D cameras to capture pictures of lobsters and rapidly measure (digitally) the carapace length for quick, on-vessel decision making.
Superyacht East Coast functions as a Destination Development and Marketing Company, serving as the authoritative advocate for the Northeast United States and Eastern Canada as a world-renowned yachting destination. Our mission involves collaborating with clients and partners from both the public and private sectors to bolster and enhance our regional service and supply chains, as well as heightening awareness of our connected coastlines that are supported by a comprehensive network of infrastructure, services, and experiences.
Marine Tourism and Destination Development
Halifax, Nova Scotia
Marine Tourism Development
Using AIS tracking data to provide intelligence on marine visitor movement patterns and identify key opportunities for coastal development within our region.
Scient’s mission is to minimize the human footprint during natural resources exploration, development, and monitoring. To achieve this, Scient integrates supervised learning and multimodality imaging to characterize species, sediments, and mineral to minimize impacts of resource exploration and monitoring of fragile landscapes and seascapes.
Ocean innovation and natural resources exploration
Halifax, Nova Scotia
Automatic detection and classification of marine biogenic habitats, species and substrates
Create a software package to operationalize our DNN, will be available to academic and government researchers for scaling up their monitoring efforts to support the efficacy of Canada’s Marine Conservation Network.
Develop software to automate fisheries monitoring with artificial intelligence, providing a cloud analytics platform for automated review of video footage from fishing vessels. This enables fast and scalable monitoring, making mandatory compliance affordable for fishermen, and helping to revolutionize fisheries management and conservation around the world
FishTech, AI for Commercial Fisheries
Vancouver, British Columbia
Automatic catch event detection for electronic monitoring in commercial fisheries.
Build tools to enable human video reviewers to automatically skip to the portion of video relevant to their review: the moments where catch and bycatch are brought onto the vessel to reduce review time.
Innovesea designs the world’s most technologically advanced aquatic solutions for fish tracking and farming – and builds commitment to make our oceans and freshwater ecosystems sustainable for future generations.
Aquaculture Solutions and Aquatic Research
Boston, Massachusetts
Identification of high-frequency periodic acoustic fish tags with deep learning
A deep learning model trained to identify acoustic pings corresponding to specific fish tags for easier tracking.
Integrating multiple deep learning models to track and classify at-risk fish species near commercial infrastructure
Using images and sonar clips to train a deep learning model to reduce species identification time.
GIT Coatings (Graphite Innovation & Technologies Inc.) is a Canadian company developing sustainable graphene-based hull and propeller coatings. With a commitment to delivering environmentally friendly, efficient, and economically viable solutions, the company is helping ship owners achieve sustainability goals by enhancing vessel performance while reducing emissions to air and water.
Marine Coatings
Dartmouth, Nova Scotia
GIT Fleet Dashboard
Internal report writing was time-consuming for the data science teams, as the same insights were needed for each ships’s report. To streamline this, a network pipeline now automatically updates the database and dashboard, generating reports without manual effort.
OMC International is a maritime technology company that develops systems to enhance the safety, efficiency, and sustainability of shipping operations.
Maritime
Melbourne, Australia/Halifax, Canada
Ship Stability
OMC needs precise vessel stability information to accurately model ship motions. However, collecting the correct data from ships can be challenging. To address this, we aimed to develop a machine learning model that can estimate stability parameters based on a vessel’s dimensions and basic load state information. This model uses a historical dataset of load state information from various types of vessels, including bulk carriers, tankers, and container ships.
