Initiative #49
Salmon Fence Counting
Listed in the registry Pilot Original language : English
About the initiative
Description of the initiative
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
AI family
- AI sub-category
- Computer Vision
- AI capability
- Species Identification and Biological Annotation
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Same AI sub-category (Computer Vision): they could share a solution.
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Lifecycle
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Ideation
Stage status : Completed
May 29, 2025
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Assessment
Stage status : Completed
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Approved
Stage status : Completed
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Development
Stage status : Completed
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Pilot
Stage status : In progress
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
- Ideation
A similar need?
Nobody has come forward yet. If your team faces the same problem, say so: it helps bring initiatives together and share a solution.
Contacts
- Requester
- Quan, Eric
- Sector contact
- Quan, Eric
- Subject matter expert
- Quan, Eric
Data and tools
- Sector
- Programs Sector
- Region
- Pacific
- Could this initiative be shared with the Treasury Board Secretariat?
- Yes
- Submitted on
- May 29, 2025
Primary users
- Departmental employees
Government priorities and declaration
Declared to TBS Recorded as transmitted to TBS; not editable here.
- Declared name of the AI system
- PSSIFence
- TBS registry identifier
- 2526-DFO-MPO-007
- Status declared to TBS
- Experimentation
- Sent to TBS on
- October 10, 2025
- Purpose of the system, as declared
- Problem: DFO inspects hours of underwater camera footage to count and identify fish species through fence counts, which is a structure installed across a river or stream to monitor fish population. The amount of hours needed to review underwater footages will need to increase in order fulfil oblgiations as it is not sustainable. Objective for AI: Replace manual analysis of fence videos to determine salmon counts by species. Leveraging advanced computer vision technology, reducing the manual effort required, and providing more accurate and timely data.