ANPR CAMERA INTEGRATION FOR LIVE STREAMING FOR AN INTELLIGENT TRAFFIC ANALYSIS SYSTEM (#1495)

Authors

Reyes, Gary

Barzola, Julio

Rumbaut, Dayron

Arroyo, Jorge

Charco, Jorge

Intriago Narváez, Kevin

Monge Yasbek, Frank Richard

Abstract

In this article, a future comprehensive solution for vehicular traffic management was implemented, focusing on the automation of vehicle identification and classification. To do this, a camera was configured with ANPR (Automatic License Plate Recognition) technology that captures images of the license plates and extracts the alphanumeric information. This information, along with the images, is transmitted through a system designed with Amazon Web Services (AWS) cloud services, such as Kinesis Video Streams, EC2 and S3, which allow efficient transmission, processing and storage of the data. In addition, OpenCV opensource software was used to establish the connection between the camera and the system, which contributed to the cost optimization of the project. The agile SCRUM methodology and the Logical Framework were fundamental for the management of the project, allowing a clear identification of the central problem and efficient execution of the process. As a result of this implementation, a significant improvement of 80% was obtained in the time needed to identify and classify vehicles, which translates into more agile and efficient traffic management