Utilizing AI image recognition and real-time traffic statistics to monitor intersection volume, speed, and queue length, effectively enhancing traffic signal control and accident warning efficiency.
Real-time vehicle recognition and counting to enhance traffic safety and monitoring
This system uses advanced AI image recognition to accurately calculate intersection traffic volumes. Combined with real-time vehicle identification and dynamic traffic diversion, it effectively alleviates congestion, improves road safety, and reduces accident rates.
Through real-time traffic status monitoring, it helps traffic authorities quickly adjust network strategies, enabling smart city traffic optimization and coordination.
Future expansions may integrate big data and IoT technologies to deeply analyze traffic behaviors, providing comprehensive decision support and promoting continuous intelligent transportation development.
Employs advanced AI technology for vehicle recognition, ensuring highly accurate results and reliable data support.
Operates effectively regardless of weather or lighting conditions, supporting nighttime, rainy, and foggy environments for real-time monitoring.
Supports multi-angle camera deployment with customizable direction settings, flexibly adapting to various environments and traffic patterns.
All-Space-Time Perception
Leverages multi-sensor synergy to enable all-weather perception and complementary spatiotemporal measurements.
Platform-Wide Analytics
Provides global target tracking and analysis with full-process awareness.
The system continuously monitors and displays real-time video feeds to help users stay informed instantly.
Applies image recognition technology to identify and count passing vehicles.
Uses cameras at intersections to count vehicles and classify them by type using image analytics.
This system leverages AI image recognition to adapt to various non-standard camera angles. It allows custom traffic direction settings based on real-world scenarios, enabling accurate vehicle counting tailored to actual field conditions, ensuring high precision and flexibility.
