Town of Innisfil, ON
Smarter Road Maintenance with AI-Powered Pothole Detection
The Town of Innisfil is using artificial intelligence technology to proactively identify potholes and improve roadway maintenance operations across its municipal road network. Through the use of the CITYROVER AI platform, municipal vehicles collect street-level imagery during routine road patrols, allowing potholes and roadway defects to be automatically detected and mapped for maintenance teams.
The AI-powered system helps Public Works staff monitor roadway conditions more efficiently, prioritize repairs based on severity and location, and reduce reliance on resident-reported complaints. With more than 770 kilometres of roads to maintain, the technology supports a proactive maintenance strategy that helps crews identify issues earlier and optimize repair planning. During the Town’s annual Pothole Blitz campaign, AI-generated road condition data helped support coordinated repair efforts across multiple maintenance crews working simultaneously throughout the municipality.
Source: www.southsimcoetoday.ca
Source: www.southsimcoetoday.ca
Smarter Road Maintenance with AI-Powered Pothole Detection
The Town of Innisfil is using artificial intelligence technology to proactively identify potholes and improve roadway maintenance operations across its municipal road network. Through the use of the CITYROVER AI platform, municipal vehicles collect street-level imagery during routine road patrols, allowing potholes and roadway defects to be automatically detected and mapped for maintenance teams.
The AI-powered system helps Public Works staff monitor roadway conditions more efficiently, prioritize repairs based on severity and location, and reduce reliance on resident-reported complaints. With more than 770 kilometres of roads to maintain, the technology supports a proactive maintenance strategy that helps crews identify issues earlier and optimize repair planning. During the Town’s annual Pothole Blitz campaign, AI-generated road condition data helped support coordinated repair efforts across multiple maintenance crews working simultaneously throughout the municipality.
Implementation Results
Automated pothole detection using AI and computer vision- Continuous roadway condition monitoring during routine patrols
- Improved prioritization of repair activities
- Reduced dependence on resident service requests
- Enhanced maintenance planning across the road network
- Supports proactive infrastructure management
Target potholes scheduled for repair
potholes
Planned blitz duration
days
Municipal roadway network maintained
+km
Active repair crews deployed
crews
staff
