Registre des initiatives en IA

Toutes les initiatives inscrites au registre sont consultables ici, sans compte. Chaque fiche montre son avancement, ses jalons et l'historique de ses décisions. Les demandes encore en cours de triage n'y figurent pas : elles rejoignent le registre une fois examinées.

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121 initiative(s) courante(s)

Registre des initiatives en IA
ID	Initiative en IA	Étape	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
28	AI-Enabled Electronic Monitoring (EM) Solutions Non traduit · origine : anglais	Pilote	The pilot project, in collabration with Fisheries Resources Management, explores the integration of AI-enabled electronic monitoring (EM) so...	Politiques stratégiques	Région de la capitale nationale	Perception et compréhension Fusion de capteurs	Rémillard, Vincent
24	Automated Identification of Vessel Fishing Activity Non traduit · origine : anglais	Pilote	Piloting use of vessel AIS data with AI to predict probable fishing activity and provide near real time alerts to officers, aiming to boost...	Secteur des programmes	Région de la capitale nationale	Automatisation et aide à la décision Analytique prédictive	Bédard, Mathieu
23	Video Summarization for Aerial Surveillance Non traduit · origine : anglais	Pilote	AI pilot under development to automatically detect and flag relevant events (e.g., human/vessel activity) in surveillance video for informat...	Secteur des programmes	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Bédard, Mathieu
22	AI Model for Administrative Support Non traduit · origine : anglais	Pilote	Pilot with select staff using MS Copilot for briefing material preparation, data analysis, writing, and translation. Exploring broader acces...	Secteur des programmes	Région de la capitale nationale	IA cognitive et générative IA générative (texte, images, code)	Bédard, Mathieu
5	ITSD knowledge content improvement Non traduit · origine : anglais	Pilote	The DFO IT Service Desk is leveraging generative AI (usually Copilot) to enhance its knowledge base articles and Assyst FAQs, which is knowl...	Dirigeant principal du numérique	Québec	IA cognitive et générative IA générative (texte, images, code)	Miousse, Gaétan
3	Labels Pilot Non traduit · origine : anglais	Pilote	We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a...	Dirigeant principal du numérique	Région de la capitale nationale	Automatisation et aide à la décision Automatisation des processus assistée par IA	Bartoli, Saul
102	Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures) Non traduit · origine : anglais	Pilote	Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate pro...	Sciences des écosystèmes et des océans	Région de la capitale nationale	IA cognitive et générative Analytique prédictive	Winegardner, Amanda
87	ANMPA Habitat Mapping Project Non traduit · origine : anglais	Pilote	Drop camera survey to document seafloor habitats and biological communities in the Anguniaqvia niqiqyuam Marine Protected Area (ANMPA) in th...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
88	Development of an AI matching model for bowhead whale photo-identification Non traduit · origine : anglais	Pilote	Using DFO’s existing database of bowhead whale photographs, the specific objectives are: 1) Create a machine learning model “detector” for b...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
89	Augmenting Whale Detection in Satellite Images using synthetic data Non traduit · origine : anglais	Pilote	An autodetector model was built to detect whales in satellite imagery using synthetic imagery. The primary author is now testing the algorit...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
90	Deep Learning Enhances Beluga Whale Research in the Arctic Non traduit · origine : anglais	Pilote	Esri Canada built a deep learning model that automatically detects beluga whales in imagery. The model was developed using satellite, drone...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
91	Localization and Tracking of Beluga Whales in Aerial video Using Deep Learning Non traduit · origine : anglais	Pilote	Deep-learning model was developed us YOLOv7 to detect beluga whales from imagery footage. The main contribution of this research is providin...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
94	DFO Bot, deep learning application to analyse otolith images available in DFO Dots Non traduit · origine : anglais	Pilote	Development of a neural network trained using otolith images, expert-derived age estimates, otolith annotations and annuli to obtain age est...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
95	Optimization of Machine Learning modelling strategy for coastal zooplankton taxonomic identification from flow microscopy imaging. Non traduit · origine : anglais	Pilote	As part of Aquaculture Monitoring Program we are using Ecotaxa's ML algorithm to identify zooplankton. The project aims at identifying the b...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
96	Use of machine-learning (ML) algorithms and high-performance computing (HPC) for the optimization of satellite image analysis for mapping coastal habitats Non traduit · origine : anglais	Pilote	This project aims to improve satellite image analysis of marine habitats leveraging NRC HPC and ML assets to apply cutting-edge ML technique...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
97	Satellite image analysis for mapping eelgrass habitat in the southern Gulf of St. Lawrence. Non traduit · origine : anglais	Pilote	This project supports Gulf Region needs for spatial data representing eelgrass habitat through a service level agreement with Marine Plannin...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
98	Guidance on Optimal Timing for Environmental DNA (GOTeDNA) Non traduit · origine : anglais	Pilote	Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eD...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision Analytique prescriptive	Winegardner, Amanda
99	Improved freshwater runoff modelling in Eastern Canada to drive ocean models Non traduit · origine : anglais	Pilote	Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. Thes...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision Analytique prédictive	Winegardner, Amanda
100	Development of AI technology for otolith and scale ageing Non traduit · origine : anglais	Pilote	Ageing of scales and otoliths is time-consuming, relies on skilled personnel, and often faces delays. AI tools like DFOdots offer a solution...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension Vision par ordinateur	Winegardner, Amanda
101	Creating space-time continuous surface chlorophyll fields for northwest Atlantic using neural network methods Non traduit · origine : anglais	Pilote	Neural network methods are applied to fill the space-time gaps in satellite remote sensing data of surface chlorophyll for the Northwest Atl...	Sciences des écosystèmes et des océans	Région de la capitale nationale	IA cognitive et générative Analytique prédictive	Winegardner, Amanda
109	Advancing Support Systems to Understand the Ocean using AI Non traduit · origine : anglais	Pilote	A workshop will be hosted to identify international best practices and key considerations for using AI technologies to understand and predic...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Infrastructure et habilitation Gouvernance et éthique de l'IA	Winegardner, Amanda
116	BinderBot: A Smart Planning Binder Non traduit · origine : anglais	Pilote	Employs AI-driven extraction to identify and compile the most relevant data from technical documents for the planning binder. Streamlines t...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision Automatisation des processus assistée par IA	Winegardner, Amanda
114	InsightBridge: Executive CSAS Summaries Non traduit · origine : anglais	Pilote	Uses AI to convert complex, technical CSAS reports into concise, plain-language summaries tailored for executive decision-makers. Enhances...	Sciences des écosystèmes et des océans	Région de la capitale nationale	IA cognitive et générative IA générative (texte, images, code)	Winegardner, Amanda
113	Improving forecasting for high-priority ports Non traduit · origine : anglais	Pilote	Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI m...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision Analytique prédictive	Winegardner, Amanda
112	ECCC exchanges on use of AI for ocean modelling Non traduit · origine : anglais	Pilote	Exchanges with ECCC on implementation of machine learning methods for operational ocean forecasting, including potential uses for DFO models...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Infrastructure et habilitation Gouvernance et éthique de l'IA	Winegardner, Amanda

28
AI-Enabled Electronic Monitoring (EM) Solutions
The pilot project, in collabration with Fisheries Resources Management, explores the integration of AI-enabled electronic monitoring (EM) solutions to automate the detection and classification of fishing activities using video and sensor data from vessels. This initiative aims to enhance compliance monitoring, reduce manual review time, and support evidence-based fisheries management. Client: Fisheries Resources Management

Pilote Politiques stratégiques Perception et compréhension Fusion de capteurs
24
Automated Identification of Vessel Fishing Activity
Piloting use of vessel AIS data with AI to predict probable fishing activity and provide near real time alerts to officers, aiming to boost compliance coverage and response. Action plan for this initiative: 1. Governance: Supervised under compliance analytics team, reporting to C & P management. 2. Guardrails: Apply strict controls (no personal data), validate accuracy in live pilots, monitoring for unintended use.

Pilote Secteur des programmes Automatisation et aide à la décision Analytique prédictive
23
Video Summarization for Aerial Surveillance
AI pilot under development to automatically detect and flag relevant events (e.g., human/vessel activity) in surveillance video for information management. Action plan for this initiative: 1. Governance: Oversight by a multidisciplinary group, routine updates and risk assessments to DM. 2. Guardrails: Pilot with departmental data only, audit outputs for accuracy and bias. 3. Work processes: Deliver targette

Pilote Secteur des programmes Perception et compréhension Vision par ordinateur
22
AI Model for Administrative Support
Pilot with select staff using MS Copilot for briefing material preparation, data analysis, writing, and translation. Exploring broader access for process automation. Action plan for this initiative: 1. Governance: Assign project lead, document user access. Regular check-ins with IT and management. 2. Guardrails: Restrict to trained users, apply GC data/privacy standards, conduct ethical reviews and audits. 3. Work pr

Pilote Secteur des programmes IA cognitive et générative IA générative (texte, images, code)
5
ITSD knowledge content improvement
The DFO IT Service Desk is leveraging generative AI (usually Copilot) to enhance its knowledge base articles and Assyst FAQs, which is knowledge intended for clients. This includes creating new knowledge articles, validating and improving existing content, translating materials, and tailoring messaging to different audiences.

Pilote Dirigeant principal du numérique IA cognitive et générative IA générative (texte, images, code)
3
Labels Pilot
We are looking into using Labels back end for smart labels as well as a free copilot agent for the departement to use in order to validate a user's classification. if we could fund the "query" fund for the user community we could point the Free agent to consume DFO specific Information on Information Classification. as for the other option we will need to ensure we have items to feed the machine learning.

Pilote Dirigeant principal du numérique Automatisation et aide à la décision Automatisation des processus assistée par IA
102
Past, Present and Future Oceanographic Conditions in Canada's MPAs and Marine OECMs (Other Effective area-based Conservation Measures)
Downscaling climate models using neural networks for conservation areas. Neural networks allow us to represent coarse resolution climate projections at a much higher spatial resolution across six eastern MPAs.

Pilote Sciences des écosystèmes et des océans IA cognitive et générative Analytique prédictive
87
ANMPA Habitat Mapping Project
Drop camera survey to document seafloor habitats and biological communities in the Anguniaqvia niqiqyuam Marine Protected Area (ANMPA) in the Inuvialuit Settlement Region. A project sub-objective is to develop AI capacity to detect and record bottom habitat classifications and benthic animals from video still-images, substantially reducing processing times.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
88
Development of an AI matching model for bowhead whale photo-identification
Using DFO’s existing database of bowhead whale photographs, the specific objectives are: 1) Create a machine learning model “detector” for bowhead whales. 2) Create a machine learning individual re-ID model for bowhead whales to re-identify bowheads. 3) To make the detector and matching models accessible through an easy to use, freely available, web-based application, Flukebook.org.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
89
Augmenting Whale Detection in Satellite Images using synthetic data
An autodetector model was built to detect whales in satellite imagery using synthetic imagery. The primary author is now testing the algorithm on satellite imagery obtained by Arctic Region that has been manually read for whales.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
90
Deep Learning Enhances Beluga Whale Research in the Arctic
Esri Canada built a deep learning model that automatically detects beluga whales in imagery. The model was developed using satellite, drone and aerial imagery and reported accuracy is high, but the model has not been tested by DFO Science yet.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
91
Localization and Tracking of Beluga Whales in Aerial video Using Deep Learning
Deep-learning model was developed us YOLOv7 to detect beluga whales from imagery footage. The main contribution of this research is providing a system that accurately detects and tracks features of beluga whales, both adults and calves, from aerial footage.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
94
DFO Bot, deep learning application to analyse otolith images available in DFO Dots
Development of a neural network trained using otolith images, expert-derived age estimates, otolith annotations and annuli to obtain age estimates from otoliths.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
95
Optimization of Machine Learning modelling strategy for coastal zooplankton taxonomic identification from flow microscopy imaging.
As part of Aquaculture Monitoring Program we are using Ecotaxa's ML algorithm to identify zooplankton. The project aims at identifying the best strategy in building model training sets for each region monitored. This strategy will be the basis for future AMP zooplankton identification work.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
96
Use of machine-learning (ML) algorithms and high-performance computing (HPC) for the optimization of satellite image analysis for mapping coastal habitats
This project aims to improve satellite image analysis of marine habitats leveraging NRC HPC and ML assets to apply cutting-edge ML techniques to the challenges of remote sensing data analysis. Relates to ongoing project (below) through MPC service-level agreement.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
97
Satellite image analysis for mapping eelgrass habitat in the southern Gulf of St. Lawrence.
This project supports Gulf Region needs for spatial data representing eelgrass habitat through a service level agreement with Marine Planning and Conservation. Machine learning algorithms have been applied for classification of satellite imagery. MPC and Science have been collaborating for several years, annually purchasing satellite imagery, with classification conducted by both groups.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
98
Guidance on Optimal Timing for Environmental DNA (GOTeDNA)
Provide guidance on optimal eDNA sampling periods and standardized sampling procedures for assessing and monitoring coastal species using eDNA. GOTeDNA, a centralized interactive online tool currently in development, will report/visualize trends in spatio-temporal eDNA distributions.

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prescriptive
99
Improved freshwater runoff modelling in Eastern Canada to drive ocean models
Use Neural Networks to post-process streamflow simulations from the WRF-Hydro model, improving their agreement with observational data. These neural networks are applied as a downstream calibration step. Builds synergy between traditional calibration methods and modern AI techniques in hydrologic modeling.

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prédictive
100
Development of AI technology for otolith and scale ageing
Ageing of scales and otoliths is time-consuming, relies on skilled personnel, and often faces delays. AI tools like DFOdots offer a solution by enabling automated ageing using annotated reference collections, helping reduce backlogs and support training. Developing these AI models can enhance resilience, efficiency, and training capacity in ageing programs.

Pilote Sciences des écosystèmes et des océans Perception et compréhension Vision par ordinateur
101
Creating space-time continuous surface chlorophyll fields for northwest Atlantic using neural network methods
Neural network methods are applied to fill the space-time gaps in satellite remote sensing data of surface chlorophyll for the Northwest Atlantic. The generated dataset will be validated and analyzed.

Pilote Sciences des écosystèmes et des océans IA cognitive et générative Analytique prédictive
109
Advancing Support Systems to Understand the Ocean using AI
A workshop will be hosted to identify international best practices and key considerations for using AI technologies to understand and predict the ocean.

Pilote Sciences des écosystèmes et des océans Infrastructure et habilitation Gouvernance et éthique de l'IA
116
BinderBot: A Smart Planning Binder
Employs AI-driven extraction to identify and compile the most relevant data from technical documents for the planning binder. Streamlines the planning binder process by automatically assembling targeted, information ready for executive review. Saves valuable administrative time and ensures that binder materials are both comprehensive and user-friendly.

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Automatisation des processus assistée par IA
114
InsightBridge: Executive CSAS Summaries
Uses AI to convert complex, technical CSAS reports into concise, plain-language summaries tailored for executive decision-makers. Enhances leadership understanding and accelerates informed decision-making by providing easily digestible insights. Ensures executives can quickly grasp critical information without sifting through dense documentation.

Pilote Sciences des écosystèmes et des océans IA cognitive et générative IA générative (texte, images, code)
113
Improving forecasting for high-priority ports
Research into feasibility of improving accuracy and timeliness of short-term forecasts for coastal regions by combining traditional and AI modelling methods.

Pilote Sciences des écosystèmes et des océans Automatisation et aide à la décision Analytique prédictive
112
ECCC exchanges on use of AI for ocean modelling
Exchanges with ECCC on implementation of machine learning methods for operational ocean forecasting, including potential uses for DFO models.

Pilote Sciences des écosystèmes et des océans Infrastructure et habilitation Gouvernance et éthique de l'IA