Jurnal Informatika: Jurnal Pengembangan IT
Vol 10, No 2 (2025)

Child Presence Detection for Child Safety with Deep Neural Networks

Hidayat, Sidiq Syamsul (Unknown)
Aprilia, Dita (Unknown)
Hadwi, Sindung (Unknown)
Mujahidin, Irfan (Unknown)
Prabowo, M. Cahyo Adi (Unknown)
Rakhman, Fikri Arif (Unknown)



Article Info

Publish Date
30 Apr 2025

Abstract

Accidents and injuries to children often occur due to lack of supervision. This research develops a child presence detection system using Computer Vision technology and the Age Estimation method to improve child safety in dangerous areas. The system was tested with a Canon EOS M50 camera at various distances, camera heights, and light intensity. The analysis using anova obtained a data confidence level of 95% for light intensity, and the age estimation method showed performance with a success of 84.72%. This research can be applied to supervise and improve safety in children, especially outdoors.

Copyrights © 2025






Journal Info

Abbrev

informatika

Publisher

Subject

Computer Science & IT

Description

The scope encompasses the Informatics Engineering, Computer Engineering and information Systems., but not limited to, the following scope: 1. Information Systems Information management e-Government E-business and e-Commerce Spatial Information Systems Geographical Information Systems IT Governance ...