CityVision is an AI-driven solution designed to enhance the efficiency of transportation and public works for safer cities. It addresses critical infrastructure challenges faced by state and local governments, such as potholes, cracks, road deterioration, blight, and damaged maintenance covers. The platform detects and maps these issues, enabling government crews to prioritize and plan efficient routes for repairs. CityVision can also identify litter, clogged utility drains, and other infrastructure or beautification needs, allowing agencies to better serve residents. By leveraging advanced analytics and machine learning, government agencies can predict maintenance needs, optimize asset management, reduce downtimes, and achieve cost reductions. The solution transforms existing assets like cameras in intersections and on public transportation vehicles into intelligent infrastructure monitors, facilitating proactive problem identification and resolution. This leads to safer, more efficient, and more livable neighborhoods. It also improves safety for public employees by automating image gathering for analysis, eliminating the need for manual inspections. Case studies show significant savings in government employee work hours, reduced maintenance costs, and high accuracy in detecting issues like potholes and predicting vacant properties.

Features & Benefits

• Intelligent Infrastructure Monitoring: Transforms existing cameras into monitors for proactive problem identification and resolution.
• Issue Detection and Mapping: Detects and maps potholes, cracks, road deterioration, blight, damaged maintenance covers, litter, and clogged drains.
• Route Optimization and Prioritization: Helps government crews prioritize and plan efficient routes for repairs.
• Predictive Maintenance and Asset Management: Uses advanced analytics and machine learning to predict maintenance needs and optimize asset management.
• Cost Reduction and Efficiency Gains: Achieves cost reduction through data-driven insights and predictive analytics, saving employee work hours and reducing maintenance time.