CITYROVER Case Study

City of San José, CA

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Moving from Reactive to Proactive Service Delivery with AI-Powered 311 Automation

The City of San José is using artificial intelligence and computer vision technology to proactively identify roadway hazards and municipal service issues across the city. Through the Road Safety Conditions Pilot Program, cameras mounted on municipal fleet vehicles automatically capture street-level imagery during routine operations. The CITYROVER AI platform analyzes the imagery to detect potholes, illegal dumping, roadway obstructions, graffiti, blocked bike lanes, and other public safety concerns in near real time.

The initiative is designed to reduce reliance on resident-reported complaints and improve how quickly City departments can identify and respond to issues affecting roadway safety and quality of life. Early pilot results demonstrated strong detection accuracy rates, helping support a more proactive approach to roadway maintenance and municipal operations.

Moving from Reactive to Proactive Service Delivery with AI-Powered 311 Automation

The City of San José is using artificial intelligence and computer vision technology to proactively identify roadway hazards and municipal service issues across the city. Through the Road Safety Conditions Pilot Program, cameras mounted on municipal fleet vehicles automatically capture street-level imagery during routine operations. The CITYROVER AI platform analyzes the imagery to detect potholes, illegal dumping, roadway obstructions, graffiti, blocked bike lanes, and other public safety concerns in near real time.

The initiative is designed to reduce reliance on resident-reported complaints and improve how quickly City departments can identify and respond to issues affecting roadway safety and quality of life. Early pilot results demonstrated strong detection accuracy rates, helping support a more proactive approach to roadway maintenance and municipal operations.

Implementation Results

  • AI-powered roadway inspections conducted using municipal fleet vehicles during routine operations
  • Automated detection of potholes, illegal dumping, roadway obstructions, graffiti, and blocked bike lanes
  • Improved coordination across departments
  • Supports proactive maintenance and issue identification before citizen complaints are submitted
  • Helps reduce reliance on complaint-driven 311 workflows
  • Improves operational awareness and prioritization for roadway maintenance teams
  • Enables faster identification of roadway and public safety concerns across the city

The City continues to expand the use of AI-based detection as part of its broader Smart City and digital services strategy.

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Pothole detection accuracy during pilot testing

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Accuracy detecting illegal dumping and garbage piles

Chelsea Palacio, Public Information Manager, City of San José Information Technology Department

“Right now, San Jose 311 really relies on our residents to report issues in San Jose and that shouldn’t be their job. That should be on the city to find those issues and resolve them.”

Namrata Agrawal Product and Projects Manager, City of San Jose

“CITYROVER’s solution is unique in its simplicity… We are able to see the photo of the detected issue, along with accurate location and confidence scores. This allows our staff to validate detections and move the verified detections into the 311 workflows.”