CONNECTED CARS NOW DETECT POTHOLES WITH AI

Samsara's AI system analyzes data from connected cars to classify different types of potholes and monitor how quickly they worsen over time. The capability leverages onboard vehicle sensors and cameras to gather road surface information as fleets operate their normal routes. This approach offers municipalities and fleet operators real-time intelligence about road damage without requiring dedicated inspection teams. By automating pothole detection, cities can prioritize repair resources more efficiently and address safety hazards faster. The development reflects a broader trend of using connected vehicle fleets as distributed sensing networks. Rather than maintaining expensive infrastructure monitoring systems, companies can extract actionable data from vehicles already on the road. Fleet operators benefit from reduced vehicle damage and maintenance costs associated with potholes, while municipalities gain cost-effective data for infrastructure planning. Samsara's platform integrates this capability into its existing fleet management software, making adoption straightforward for current users.