UrbanEye: AI-Driven Traffic Monitoring Solution

Urban Eye provides immediate insights into traffic conditions, allowing for real-time responses and adjustments by traffic management authorities.

Capable of monitoring multiple points, not limited to intersections, Urban Eye offers extensive coverage that includes less frequently analyzed areas like mid-block street segments and non-standard junctions.

Utilizes a powerful machine learning model to analyze traffic flow, identifying and classifying various traffic entities such as cars, cyclists, and pedestrians with high accuracy.

Compatible with various hardware setups, including both drones and fixed cameras, Urban Eye can be easily integrated into existing traffic monitoring infrastructures without the need for specialized equipment.

By quantifying traffic loads and identifying patterns, Urban Eye helps in optimizing traffic signals and reducing congestion, leading to smoother traffic flow and reduced travel times.

Helps identify potentially hazardous traffic patterns or areas with high pedestrian activity, enabling proactive measures to enhance road safety for all users.

Supports urban planning and development decisions with robust data on traffic flows and usage patterns, facilitating better infrastructure development and resource allocation.

Designed to scale effortlessly from small intersections to city-wide networks, Urban Eye adapts to different urban environments and traffic situations, providing tailored insights.