Smart Home Monitoring System for Early Childhood Using Computer Vision Technology

Zainab; Jalil Akbarzi; Muhammad Qasim; Ilsa Rehman; Bilal Ur Rehman; Muhammad Amir; Humayun Shahid; Kifayatullah Ullah

Authors

Zainab Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan
Jalil Akbarzi Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan
Muhammad Qasim Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan
Ilsa Rehman Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan
Bilal Ur Rehman Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan
Muhammad Amir Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan
Humayun Shahid Department of Telecommunication Engineering, University of Engineering and Technology, Taxila, Pakistan
Kifayatullah Ullah Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan

Keywords:

Computer vision, Machine Learning, real-time detection

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 quick and efficient framework for keeping children secure in smart homes, presenting the potential of advanced computer vision techniques in the real world.

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