Transport & Road Safety

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Falcon-I focuses on utilizing advanced computer vision and artificial intelligence (AI) algorithms developed by QMIC to enable automatic traffic monitoring and road incident detection. This application leverages CCTV camera feeds to analyze the traffic conditions and identify various parameters in real-time.

Congestion Detection

By analyzing the video feeds from CCTV cameras, the system can identify areas of high traffic congestion. It can detect the presence of slow-moving or stationary vehicles, long queues, and areas where traffic flow is significantly impeded. This information helps road operators and authorities to take timely action, such as adjusting signal timings or rerouting traffic, to alleviate congestion and improve traffic flow.

Queue Length Detection 

One of the key capabilities of this application is providing queue length information. By analyzing the video streams and computer vision algorithms, the application can detect and measure the length of vehicle queues at intersections. This information is important for traffic management and allows authorities to assess the severity of congestion, make informed decisions regarding traffic signal timings, and implement appropriate measures to enhance the efficiency of traffic movement.

Incidents/Accidents

Using the computer vision and AI algorithms, the application can identify unusual events such as collisions, vehicle breakdowns, or other incidents that require immediate attention. When an incident is detected, Falcon-I can generate alerts and notifications for road operators, enabling them to respond promptly and deploy appropriate resources such as emergency services or roadside assistance.

By providing real-time traffic monitoring and incident detection, road operators can have a better understanding of the traffic status at any given time. They can receive alerts and notifications when specific parameters, such as congestion levels or incidents, exceed predefined thresholds. This monitoring and alerting system allows road operators to respond quickly to changing traffic conditions, minimize disruptions, and enhance overall road network management and efficiency.