Pipeline Water Crossing Vision Leak Detection Systems - AB-033
Preferred Disciplines: Master or better in Math / Computer Science
Project length: 4-6 months (1 unit)
Desired start date: ASAP – company is ready to start immediately
Location: Airdrie, Alberta
No. of Positions: 1
Preferences: Language: no preference
National fleet of service technicians working coast to coast to coast. Servicing hundreds of thousands of assets across thousands of locations for hundreds of customers.
Using permanently mounted cameras, one or many, to perform continuous monitoring of pipeline water crossings.
- pipelines may be over or under water
- water may be large river or small creek
Identify hydrocarbons and anything else possible with zero physical human assistance
In Alberta alone there are tens of thousands of water crossings
- normal vision cameras
- or other
- or all
- willing to try all methods to solve for water crossing monitoring
Background and required skills
- Objective is to create a permanent in situ monitoring system to protect waterways and alert owners/operators of pipeline water crossings to potential issues
- Vision systems identified as most reliable continuous monitoring, data loggers and many sensors do not work continuously in remote locations and require frequent human activity to maintain/repair/replace
- identify limits of environmental monitoring using vision systems
- Rapid Experimental Development
- Many Iterations and Revisions
Expertise and Skills Needed:
- Deep learning techniques / understanding
- Algorithmic image analysis / processing
- Object / facial recognition
- Software development
- Statistical analysis
- All work is done on Ubuntu / Linux computers and servers
For more info or to apply to this applied research position, please
- Check your eligibility and find more information about open projects.
- Complete this webform. You will be asked to upload your CV. Remember to indicate the title of the project(s) you are interested in and obtain your professor’s approval to proceed!
Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform or directly to Oba Harding at, oharding(a)mitacs.ca.