AI Video Analytics | Smart City Tech
Codelabs’ Traffic & Vehicle Analytics leverages AI-powered computer vision and Automatic Number Plate Recognition (ANPR) to monitor vehicle movement, detect speed and traffic violations, and optimize urban mobility. The system empowers smart cities with automated insights that enhance public safety, reduce congestion, and streamline enforcement operations.
We design AI-powered analytics frameworks that integrate seamlessly with existing city surveillance infrastructure to automate detection, improve traffic efficiency, and deliver actionable data insights for urban authorities.
Our system uses AI and ANPR technology to capture vehicle movement, speed, and license plate data in real time. This enables precise identification of traffic violations and vehicle flow across multiple camera feeds.
Advanced video analytics algorithms classify traffic patterns, detect anomalies such as wrong-way driving or lane breaches, and assess congestion levels for informed decision-making.
The platform integrates with existing smart city systems, traffic lights, and enforcement units, enabling automated reporting, evidence storage, and fine management for seamless digital enforcement.
Centralized dashboards provide visual analytics for vehicle density, violation heatmaps, and performance trends, supporting continuous monitoring and predictive traffic planning.
By adopting Codelabs’ Traffic & Vehicle Analytics, city authorities achieve automated violation detection, reduced human monitoring, and improved road safety. The solution delivers real-time insights for better control, compliance, and efficient urban traffic flow.