Intelligent system to detect violations in pedestrian areas committed by vehicles in the city of Cartagena de Indias

his article presents applied research which proposes an approach to a low-cost electronic system that allows the detection of violations in pedestrian areas. For this purpose, we proposed an electronic system that implements artificial intelligence algorithms and Internet of Things architectures to...

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Autores:
Hernández-Díaz, Nicolás
Pañaloza, Yersica C.
Rios, Y. Yuliana
Martinez-Santos, Juan Carlos
Puertas, Edwin
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12580
Acceso en línea:
https://hdl.handle.net/20.500.12585/12580
Palabra clave:
Computer vision
Object detection
Intelligent system
LEMB
Rights
openAccess
License
http://creativecommons.org/publicdomain/zero/1.0/
Description
Summary:his article presents applied research which proposes an approach to a low-cost electronic system that allows the detection of violations in pedestrian areas. For this purpose, we proposed an electronic system that implements artificial intelligence algorithms and Internet of Things architectures to detect in realtime these events. The proposal focuses on experimental laboratory work through which we developed and validated a system by analyzing a real pedestrian zone scenario and invasion of the pedestrian zone. As a result of this work, we deliver a labeled dataset to the scientific community that can serve as input to new projects and the development of better offender detection algorithms.