A real-time vehicle identification system implemented on an embedded ARM platform

Danny Sotomayor, Diego S. Benítez, Milton F. Rosero, Paola Leon

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

This paper explores the feasibility of using a low-cost embedded ARM-based system for real-time vehicle recognition and identification through image processing. The main features of the system include: vehicle detection, speed measurement, and vehicle identification by license plate number recognition, the information obtained is then send to a database on a server in a local network. An ODROID-U3 embedded board was used for general processing and control. Image processing algorithms for detection of moving vehicles on a road were implemented and optimized, in order to obtain shorter processing times than existing algorithms. OpenCV libraries were used for the implementation. Finally, an analysis of the processing times required by the algorithms and the error percentages obtained with the system implemented are presented and discussed.

Idioma originalInglés
Título de la publicación alojada2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-7
Número de páginas7
ISBN (versión digital)9781538631232
DOI
EstadoPublicada - 19 dic. 2017
Evento2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Pucon, Chile
Duración: 18 oct. 201720 oct. 2017

Serie de la publicación

Nombre2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
Volumen2017-January

Conferencia

Conferencia2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017
País/TerritorioChile
CiudadPucon
Período18/10/1720/10/17

Huella

Profundice en los temas de investigación de 'A real-time vehicle identification system implemented on an embedded ARM platform'. En conjunto forman una huella única.

Citar esto