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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146 initiative(s) courante(s)

Registre des initiatives en IA
ID	Initiative en IA	Statut actuel	Description	Secteur	Région	Catégorie d'IA	Expert en la matière
151	Zooplankton image analysis Non traduit	Pilot	Use Random Forest and residual neural networks (ResNet) for automated classification of zooplankton images collected using: 1) scanning of p...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension	Winegardner, Amanda
104	Zooplankton classification from Video Plankton Recorder Non traduit	Pilot	Using machine learning algorithms to identify plankton for rapid zooplankton classification from the Video Plankton Recorder, in support of...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension	Winegardner, Amanda
23	Video Summarization for Aerial Surveillance Non traduit	Pilot	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	Bédard, Mathieu
80	Various Built-In AI Features (Co-pilot, ChatGPT, etc) Non traduit	Pilot	Using built-in AI features and functions in regular workflow operations. This includes LLM's such as ChatGPT, Microsoft Copilot, Gemini, and...	Sciences des écosystèmes et des océans	Pacifique	IA cognitive et générative	Quan, Eric
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	Pilot	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	Winegardner, Amanda
197	Use of machine-learning (ML) algorithms and high-performance computing (HPC) for the optimization of satellite image analysis for mapping coastal habitats Non traduit	Pilot	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	Golfe	Perception et compréhension	Dupuis, Marc
118	Use of artificial intelligence models to facilitate seafloor video annotations in conservation areas. Non traduit	Pilot	The purpose of this initiative is to utilize AI to facilitate seafloor video annotations collected as part of the MCT and Benthic Ecology pr...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension	Winegardner, Amanda
81	Topaz AI Software Non traduit	Pilot	Enhance underwater video from ROV and tow camera deployments in the offshore region and elsewhere. The deployment of these platforms is incr...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Best, Merlin
108	The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’ Non traduit	Pilot	This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
212	Surveillance électronique en mer	Pilot	Il s’agit de capture d’images vidéo sur les navires de pêche pour ensuite les faire analyser par des ressources humaines et un modèle d’inte...	Statistiques, politiques et permis	Québec	Perception et compréhension	Rémillard, Vincent
217	Suite du projet de recherche de recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent.	Pilot	Une entente de contribution pour l’année 2025-2026 (Programme de gestion des océans) visant à l’amélioration de l’outil développé par le Cen...	Planification et conservation marines	Québec	Perception et compréhension	Brossard, Jade
158	Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon Non traduit	Pilot	The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be de...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
68	Stereo camera image analysis Non traduit	Pilot	Tools built in python to automate image analysis and fish measurement tasks. Applications include a conveyor belt camera and underwater towe...	Sciences des écosystèmes et des océans	Pacifique	Perception et compréhension	Rooper, Chris
156	Statistical Downscaling for the Ocean Working Group (SD-Ocean) Non traduit	Pilot	The Canada-wide working group is open to researchers and practitioners in academia, government, and the non-profit sector. The WG will foste...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Infrastructure et habilitation	Winegardner, Amanda
69	Species distribution modeling Non traduit	Pilot	Species distribution models for various coral/sponge/groundfish Random Forests	Sciences des écosystèmes et des océans	Pacifique	Automatisation et aide à la décision	Rooper, Chris
150	Species distribution modeling Non traduit	Pilot	Species distribution models for various coral/sponge/groundfish.	Sciences des écosystèmes et des océans	Région de la capitale nationale	Automatisation et aide à la décision	Winegardner, Amanda
228	SILScanner Non traduit	Pilot	Deploy on DFO's PBMM Cloud a proof of concept application that uses optical character recognition (OCR) to digitize and validate Stream Insp...	Dirigeant principal du numérique	Région de la capitale nationale	Perception et compréhension	Bird, Tom
97	Satellite image analysis for mapping eelgrass habitat in the southern Gulf of St. Lawrence. Non traduit	Pilot	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	Winegardner, Amanda
198	Satellite image analysis for mapping eelgrass habitat in the southern Gulf of St. Lawrence. Non traduit	Pilot	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	Golfe	Perception et compréhension	Dupuis, Marc
132	Salmon Scale Aging Non traduit	Pilot	A model using computer vision to look at images of salmon scale and predict the age of salmon and also explain how it arrived at its predict...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension	Winegardner, Amanda
129	Salmon Fence Counting Non traduit	Pilot	A model using computer vision to analyze water stream fence video-footage, to simultaneously count the number of and predict the species of...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension	Winegardner, Amanda
49	Salmon Fence Counting Non traduit	Pilot	A model using computer vision to analyze water stream fence video-footage, to simultanously count the number of and predict the species of s...	Secteur des programmes	Pacifique	Perception et compréhension	Quan, Eric
50	Salmon Data Digitization (See B22, B26) Non traduit	Pilot	Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, an...	Secteur des programmes	Pacifique	Perception et compréhension	Quan, Eric
130	Salmon Data Digitization Non traduit	Pilot	Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, an...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension	Winegardner, Amanda
161	Remote sensing of the internal tide in the St. Lawrence Non traduit	Pilot	Using model outputs (STLE500/STLE200) to 1) help identify internal tide surface signature in SWOT (Surface Water and Ocean Topography) data...	Sciences des écosystèmes et des océans	Région de la capitale nationale	Perception et compréhension	Winegardner, Amanda

151
Zooplankton image analysis
Use Random Forest and residual neural networks (ResNet) for automated classification of zooplankton images collected using: 1) scanning of preserved samples (ZooScan); and 2) in situ imagery (Underwater Vision Profiler, UVP). Imagery focused on surveys and samples collected along the West Coast of Vancouver Island and offshore from 2022-present.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
104
Zooplankton classification from Video Plankton Recorder
Using machine learning algorithms to identify plankton for rapid zooplankton classification from the Video Plankton Recorder, in support of efforts to assess North Atlantic Right Whale foraging habitat.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
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

Pilot Secteur des programmes Perception et compréhension
80
Various Built-In AI Features (Co-pilot, ChatGPT, etc)
Using built-in AI features and functions in regular workflow operations. This includes LLM's such as ChatGPT, Microsoft Copilot, Gemini, and various others that are integrated directly into the applications already currently being used. Large Language Models

Pilot Sciences des écosystèmes et des océans IA cognitive et générative
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.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
197
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.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
118
Use of artificial intelligence models to facilitate seafloor video annotations in conservation areas.
The purpose of this initiative is to utilize AI to facilitate seafloor video annotations collected as part of the MCT and Benthic Ecology programs in the NL Region. A large number of vidEcosystems and Oceans Science is collected annually, and manual video annotation (e.g., locating and counting observations) is extremely time-consuming. A published “object detection model” (FathomNet Megalodon Detector, YOLOv8x) trained using marine taxa by MBARI is currently being used to identify objects in our seafloor images. The model does not identify the objects (e.g., to species), but it largely accelerates the process given that locating objects is the most time-consuming part of the work.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
81
Topaz AI Software
Enhance underwater video from ROV and tow camera deployments in the offshore region and elsewhere. The deployment of these platforms is incredibly time- and resource-consuming, making the optimization of available video an important part of getting the most from this imagery. In addition there are camera limitations from the available DFO survey tools and framegrabs from video will be used as a major product from surveys, making enhancement to high quality images crucial. Topaz Video AI and Topaz Photo AI

Pilot Sciences des écosystèmes et des océans Perception et compréhension
108
The development of rapid multiplex qPCR for the detection and quantification of three parasites MSX, SSO, Dermo of oysters (Crassostrea virginica) and MSX single-cell whole genome sequencing using long read sequencing platform’
This 2-year project aims to enhance the disease diagnostic services provided to the shellfish aquaculture industry by improving the methods for detecting economically important Oyster parasites, enhance understanding of Multinucleate Sphere Unknown X (MSX) virulence dynamics, and support the creation of new vaccine in investigating future outbreaks and modeling through machine learning.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
212
Surveillance électronique en mer
Il s’agit de capture d’images vidéo sur les navires de pêche pour ensuite les faire analyser par des ressources humaines et un modèle d’intelligence artificielle doté de capacité d’identification d’événements, d’espèces, etc. Projet fait en collaboration avec l’équipe nationale de l’Intendant principal des données.

Pilot Statistiques, politiques et permis Perception et compréhension
217
Suite du projet de recherche de recherche et développement d’outils de vision automatisée pour l’étude des refuges marins des coraux et des éponges du golfe du Saint-Laurent.
Une entente de contribution pour l’année 2025-2026 (Programme de gestion des océans) visant à l’amélioration de l’outil développé par le Centre de développement et de recherche en intelligence numérique (CDRIN) en 2024-2025. Le projet a comme objectif global de concevoir et développer un outil d’intelligence artificielle permettant de détecter et suivre les organismes benthiques filmés dans les refuges marins des coraux et des éponges du Golfe du Saint-Laurent.

Pilot Planification et conservation marines Perception et compréhension
158
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon
The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
68
Stereo camera image analysis
Tools built in python to automate image analysis and fish measurement tasks. Applications include a conveyor belt camera and underwater towed stereo camera system Computer vision tools (Python, Viame)

Pilot Sciences des écosystèmes et des océans Perception et compréhension
156
Statistical Downscaling for the Ocean Working Group (SD-Ocean)
The Canada-wide working group is open to researchers and practitioners in academia, government, and the non-profit sector. The WG will foster growth of a transdisciplinary research cluster at the forefront of the rapidly-developing field by sharing tools, developing a network of practitioners, and working through specific examples (hackathons).

Pilot Sciences des écosystèmes et des océans Infrastructure et habilitation
69
Species distribution modeling
Species distribution models for various coral/sponge/groundfish Random Forests

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
150
Species distribution modeling
Species distribution models for various coral/sponge/groundfish.

Pilot Sciences des écosystèmes et des océans Automatisation et aide à la décision
228
SILScanner
Deploy on DFO's PBMM Cloud a proof of concept application that uses optical character recognition (OCR) to digitize and validate Stream Inspection Logs (SILs). The PoC was originally developed on SSC's cloud infrastructure. It is now being deployed in DFO PB cloud infrastructure. BLADES initiative and IT security teams are involved.

Pilot Dirigeant principal du numérique Perception et compréhension
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.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
198
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.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
132
Salmon Scale Aging
A model using computer vision to look at images of salmon scale and predict the age of salmon and also explain how it arrived at its prediction.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
129
Salmon Fence Counting
A model using computer vision to analyze water stream fence video-footage, to simultaneously count the number of and predict the species of salmon.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
49
Salmon Fence Counting
A model using computer vision to analyze water stream fence video-footage, to simultanously count the number of and predict the species of salmon. YOLO 11 Chinook trained on 735 annotated frames from 63 videos Coho trained on 432 annotated frames from 44 videos Sockeye trained on 1149 annotated frames from 36 videos Chum untrained (annotation of 1368 frames from 43 videos in progress) Pink Humpback

Pilot Secteur des programmes Perception et compréhension
50
Salmon Data Digitization (See B22, B26)
Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, and useable for analysis. Document Intelligence - Custom Classification and Extraction Model Azure OpenAI GPT4o mini Data and Information from ~45,000 pages have been digitized

Pilot Secteur des programmes Perception et compréhension
130
Salmon Data Digitization
Digitizing non-machine-readable (handwritten) documents and extracts characters into a digital format so that it is accessible, editable, and useable for analysis.

Pilot Sciences des écosystèmes et des océans Perception et compréhension
161
Remote sensing of the internal tide in the St. Lawrence
Using model outputs (STLE500/STLE200) to 1) help identify internal tide surface signature in SWOT (Surface Water and Ocean Topography) data and 2) train an AI to detect internal tide in SWOT data.

Pilot Sciences des écosystèmes et des océans Perception et compréhension