학술논문
A Deep Learning Tool to Classify Vehicles in Real Time
Document Type
Conference
Author
Source
2021 Eighth International Conference on eDemocracy & eGovernment (ICEDEG) eDemocracy & eGovernment (ICEDEG), 2021 Eighth International Conference on. :215-218 Jul, 2021
Subject
Language
ISSN
2573-1998
Abstract
The problem of vehicular congestion is transversal to all the cities worldwide. To deal with it, it can be done from the construction of new roads or the management of these as in the case of exclusive roads for public transport. In the latter case, information is necessary. Currently, in Chile this collection process is manually done, so it does not respond to current information needs, because the long time the process takes. The use of deep learning models for automatic counting has shown outstanding results, but based on a scheme for sending video streaming to remote servers. The present proposal aims to not depend on fiber optic connectivity. It is based on a network of modules based on Edge Artificial Intelligence (Edge AI) in order to build a scalable, real-time data capture platform.