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Title: Developing a System for Detection and Warning Children in Locked-Vehicles using OpenCV
Authors: Nguyen, Anh Dao
Nguyen, Bao Trang
Nguyen, Hai Phuoc
Le, Than Chi Tai
Nguyen, Ngoc Anh
Keywords: Face Detection
Age Recognition
Children Are Left Alone in the Car
Safety for Children
Issue Date: Jul-2022
Publisher: Da Nang Publishing House
Abstract: It is unavoidable that the growing number of private automobiles offers some potential threats to society. Children have frequently locked in cars alone due to parental irresponsibility, which can result in accidents. In light of these issues, a method based on face traits has been created to improve the safety of children's riding. This system is a child-safety technology that uses human face features to judge the personal safety of children stuck in a car after it has been parked. Face detection, age recognition are the two essential components of the method. This paper describes and explains in detail the entire process of developing a Safety warning system (SWS) for recognizing a person’s age and face. Face detection and recognition methods that have been used are described and explained as well as development steps used in the development of a Safety warning system. The software solution describes the details of using the OpenCV library not only to detect whether children are left alone in a car but also to send the signal to the handheld device and mobile application.
Description: The 11th Conference on Information Technology and its Applications; Topic: Software Engineering and Information System; pp.222-229.
ISSN: 978-604-84-6711-1
Appears in Collections:CITA 2022

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