Cognitive Vehicle Behavior Detector with Real-Time Analytics and Implementation

In this contemporary world, with the surge in automobiles, traffic has been a major issue. This project is going to deal with the violation of the vehicles in the traffic signals. By considering the surveillance footage, frames are achieved by using the open-source platform computer vision. Further, by applying image processing tools, details of the violated vehicles are generated in the form of tickets. By considering these tickets, analysis of data is performed so that we can visualize the traffic violations. The whole programming is performed using Python language, ELK stack includes Elastic search, Logstash, and Kibana are used for data analytics. Tickets generated are stored in a single file and loaded through Logstash. Then it is uploaded into the Kibana and visualization is performed.