Traffic Congestion Monitoring

Monitor the traffic throughput and congestion with the help of AI-based Traffic Congestion Detection technology.

In order resolve traffic jams instantly, there is a need for the 24/7 monitoring system that can automatically alert the control center whenever traffic congestion occurs.

Furthermore, accumulated traffic congestion data can be used for traffic throughput analysis and road planning.

With the help of Traffic Congestion Detection technology it is possible to make good use of all the traffic surveillance cameras and link them to the deep learning algorithms that can analyze the traffic situation real time.

Similar Applications

Traffic Rules Violation Detection

Detect vehicles that do not obey traffic rules, such as driving in wrong direction, operation and timing.

Illegal Parking Detection

Detect the vehicles that have parked by the roadside or in the areas where the parking is prohibited.

Traffic Flow Analysis

Identify the driving path of vehicles for road planning and better traffic optimization.

Automatic Highway Toll Calculation

Identify the vehicles automatically by their license plate on the highway and calculate their toll charges without stopping.

System Reliability Assurance

Be instantly notified about the network or device failures for timely response to minimize the downtime.

Trucks Detection in the Fast Lane

Monitor the fast lanes of the public roads and automatically detect trucks illegally driving there.

Road Quality Assurance

Monitor the quality of the roads and be notified instantly when the road damage occurs.

Related Markets

Related Technologies

Traffic Congestion Detection

Detect traffic congestion with the help of video-based deep learning algorithms.