Template-Type: ReDIF-Article 1.0
Author-Name:Zainab,  Jalil  Akbarzai,  Muhammad  Qasim,  Ilsa  Rehman,  Bilal  Ur  Rehman, Muhammad Amir, Humayun Shahid, Kifayat Ullah
Author-Email:bur@uetpeshawar.edu.pk
Author-Workplace-Name:DepartmentofElectricalEngineering,FacultyofElectricalandComputerEngineering, UniversityofEngineeringandTechnology,Peshawar,Pakistan, DepartmentofTelecommunication Engineering,UniversityofEngineeringandTechnology,Taxila,Pakistan
Title:Smart Home Monitoring System for Early Childhood Using Computer Vision Technology
Abstract:One  of  the  most  significant  problems  families  face  today  is  the  proper  handling  of newborns;  most  parents  can  barely  always  keep  a  close  eye  on  their  babies.  Baby monitors  put  the  minds  of  many  parents  at  ease  by  increasing  the  safety  of  their children; however, many currently available models lack certain features that should comply with safety regulations. This paper proposes an intelligent monitoring system for infants that can  be  integrated  into  smart  homes  to  improve  real-time  monitoring  through  a  computer vision technique. Therefore, the primary goal of a smart home presence detection system is to enhance children's safety by accurately identifying their presence and identifying risks that may arise  in  real-life  scenarios.  It  operates  in  real-time  to  ensure  parents  are always  informed  of their child's safety. This approach employs YOLOv5, which is well-known, fast, and accurate, thus suitable for this task due to its impressive real-time object detection performance. The proposed  system  indicates  a  quickand  efficient  framework  for  keeping  children  secure  in smart  homes,  presenting  the  potential  of  advanced  computer  vision  techniques  in  the  real world.
Keywords:Computer vision, Machine Learning, real-time detection
Journal:International Journal of Innovations in Science and Technology
Pages:1306-1319
Volume:7
Issue:2
Year:2025
Month:July
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1424/1963
File-Format: Application/pdf
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1424
File-Format: text/html
Handle: RePEc:abq:IJIST:v:7:y:2025:i:2:p:1306-1319