Guardian Eye: An AI-Powered Child Monitoring and Protection Model

Abstract

Introduction: Guardian Eye is an advanced child welfare system that integrates GPS, WiFi, Artificial Intelligence (AI), and Machine Learning (ML) to ensure widespread safety for children. It uses smart portable things to monitor important health data such as heart rate and body temperature without disrupting the child's daily activities. In addition, the AI-based emotional analysis assesses emotional welfare by analyzing voice patterns, facial expressions, and behavior. A key feature of the system is the face identification technique, supported by a comprehensive image-matching database, which increases children's recognition and safety in public places, schools, and care centers. Real-time data is safely transferred through the mobile applicationand sends immediate notice to caregivers of any health deviations or changes when they can interfere when needed.

Objectives: The Guardian Eye System applies AI-powered analysis and facial recognition methods to offerreal-time child monitoring and identification to provide spontaneous connectivity through a dependable transmitter-receiver system. The innovative solution allows caretakers to receive instant alertsand enables swift responses to potential health or safety concerns.

Methods: The Guardian Eye integrates several techniques to offer an innovative safety solution. IoT sensors monitor environmental factors such as frequent movement, temperature, humidity, air quality, and sound levels. Wearable equipment, including smartwatches and smart bands, track vital indications such as heart rate and activity level. The AI-powered emotion analysis evaluates the emotional well-being of a child through facial identification and voice pattern analysis. The system uses safe facial recognition to ensure that only authorized individuals can interact with the child. Transmitter-receiver communication provides long-distance, stable connectivity, which eliminates the requirement of traditional networks such as WiFi or Bluetooth. If an unknown face is detected or a health abnormality arises, the system records a video of 20seconds and sends a real-time alert to parents for immediate action.

Results: The Guardian Eye System increases safety monitoring through real-time and AI-powered emotional monitoring, updating with important information. Transmitter-receiver communication ensures complete monitoring in low-network areas and provides stable connections.Facial recognition enhances security in common areas and institutions. In emergencies, alert and video recording enable quick response time with caretakers and authorities. This system is also flexible and performs well in urban and rural areas, and reduces connection problems.

Conclusions: The Guardian Eye system provides asolution for child safety with real-time monitoring, AI-powered analysis, and safe communication. This enhancesthe caregiver’s ability to respond quickly to dangers and emergency conditions. Future enhancements may include biometric sensors and AI-operated voice commands. Its scalability and adaptability make it a promising solution for diverse environments.