Child face detection on front passenger seat through deep learning.

Journal: Traffic injury prevention
PMID:

Abstract

OBJECTIVE: One of the main causes of death worldwide among young people are car crashes, and most of these fatalities occur to children who are seated in the front passenger seat and who, at the time of an accident, receive a direct impact from the airbags, which is lethal for children under 13 years of age. The present study seeks to raise awareness of this risk by interior monitoring with a child face detection system that serves to alert the driver that the child should not be sitting in the front passenger seat.

Authors

  • Carlos Hernández-Aguilar
    Escuela de Ingeniería y Tecnologías, Universidad de Monterrey, San Pedro Garza García, México.
  • José A Aguilar-Saguilan
    Escuela de Ingeniería y Tecnologías, Universidad de Monterrey, San Pedro Garza García, México.
  • Alejandro I Trejo-Castro
    Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, Monterrey, México.
  • José M Celaya-Padilla
    Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas, México.
  • Antonio Martinez-Torteya
    Escuela de Ingeniería y Tecnologías, Universidad de Monterrey, San Pedro Garza García, México.