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Projects

DeepSense supports cost–effective collaborative projects between academic researchers and businesses in the ocean economy to drive innovation, commercialization, job creation and economic growth.

Explore our projects below by toggling the choosing the type of projects you are interested in. Click the project description for more details.

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Data Strategy
Data Processing
Advanced Analytics
Data Visualizations
AI & Machine Learning

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.

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.

Benthic Ecosystem Mapping and Engagement (BEcoME project)

Identifying sea floors images with deep learning techniques to support future sea floor mapping efforts.

Phase 2: Smart Buoy Redundancy Model Optimization

A prediction model for safe navigation within the Halifax Harbour based on current sea conditions, in case of Smart Buoy failure.

Automating the Analysis of Fish School Recognition in Echograms in the Bay of Fundy

Using R markdown and existing report templates, a range of new graphs and report template were designed to meet regulatory reporting requirements.

SeRViz: an Interactive Visualization Framework for the Analysis of Sequential Rules and Frequent Item sets

Developed interactive visualizations to discover any hidden delay-related patterns in the airport supply chain.

Marine Tourism Development Data Analysis

Using AIS tracking data to provide intelligence on marine visitor movement patterns and identify key opportunities for coastal development within our region.

Whales from Space: Surveying Baleen Whales in the Gulf of St. Lawrence using VHR Satellite Imagery

A computer model trained to review aerial imagery and identify the shape of a whale.

Shipping Container Code Classification and Prediction

Natural language processing helped automate data correction to expedite data auditing and compliance efforts using global supply chain data.

Phase 1: Smart Atlantic Buoy Redundancy Model Protyping

A prediction model for safe navigation within the Halifax Harbour based on current sea conditions, in case of Smart Buoy failure.

Tracking Illegal Fishing with AIS Data

Using ship movement and speed data combined with deep learning methods to create patterns that can determine whether a ship is fishing.

Active Learning for Fish School Recognition

Acoustic data is collected to understand underwater habitats surrounding tidal energy production.

eDNA Data Organization

Combining and inputting eDNA data sets into a new software and using data to create visualizations for the software outputs.

Crustacean Carapace Assessment: Model Training

Developing a machine learning model to rapidly identify attributes of crustaceans for quick, on-vessel decision-making.

Automatic detection and classification of marine biogenic habitats, species and substrates

Developing a platform that will use AI-powered software to classify bedrock and species, this initial project is focusing on kelp and algae identification.

Biomass Identification on vessel (FishInFrame)

Develop a multi-layer neural network to indicate the presence of biomass on active vessels.

Seismic O&G Exploration on Fish

Deep learning models and best practices for measuring the effects of seismic oil and gas exploration on commercial fish.

Data structure and Data Collection Design

Gathering and synthesizing data from internal test engines and customer assets to better communicate product benefits to internal and external stakeholders through visualizations.