L2M – OmniPave

OmniPave is a research-based concept from the University of Alberta that tackles this by fusing satellite radar, AI-analyzed bus-camera footage, targeted drones, and citizen reports into a real-time map that spots micro-cracks within days, before they expand into potholes. This proactive approach can shift cities toward low-cost crack sealing instead of expensive patching. However, major hurdles remain: Can these four data sources be reliably combined and visualized in near-real time? Can we demonstrate real-world cost savings that will convince municipalities and insurers? And can OmniPave link seamlessly with diverse Geographic Information System (GIS) and work-order systems? This internship will tackle these commercialization challenges head-on by: 1. Building and testing a cloud-based data pipeline and dashboard. 2. Running pilots in three snow-belt cities to collect before-and-after cost/saving data. 3. Preparing an integration guide to show municipalities how OmniPave fits into existing workflows. These activities go beyond prototype research, delivering measurable technical, economic, and integration evidence to validate OmniPave’s potential as a scalable, national solution. The project requires skills in satellite image processing, edge-AI deployment, geospatial integration, and cost-benefit analysis, expertise provided by the intern and supervisor.

Faculty Supervisor:

Hamid Anvari

Student:

Partner:

Edmonton Unlimited

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Public administration

University:

University of Alberta

Program: