The proposed system is based on a Bayesian network based reasoning model. This paper describes a low cost computer vision system able to obtain traffic metrics at urban intersections. It results in saving environment by reducing plastic usage and also by reducing the deforestation. This also helps in avoiding usage of papers and plastic for advertising. This installation supports Government by making things digitalized. Using Raspberry Pi one can manage the preference of advertising and displaying traffic report. These screens can also be used for advertising purposes which is an additional advantage.

This traffic report is updated periodically and displayed on the screens installed at the public places. In addition to this, it is used for detecting the traffic density and gives the traffic report to the travelers. It is used for traffic surveillance purpose where the traffic is continuously monitored and recorded. Here is the one of the ways of using this for multiple purposes.

Raspberry Pi is a single board computer which can be effectively used for multi-functionalities. This paper explains a Raspberry Pi controlled Traffic Density monitoring system.

Raspberry pi monitor traffic