Child safety in croweded public environments remains a critical challenge due to limitations in continuous monitoring systems,delayed response mechanisms, and lack of intelligent risk detection. Existing solutions primarily rely on continuous GPS tracking, leading to high battery consumption and Privacy concerns. This paper proposes an IoT-based intelligent and event-driven child safety monitoring system that integrates wearable devices with a mobile application. The system utilizes Bluetooth-based proximity monitoring using RSSI values and activates GPS tracking only during risk conditions. A threshold-based decision algorithm classifies system states into safe, warning, and high-risk levels, enabling timely alert generation. The proposed system improves energy efficiency, enhances privacy, and ensures reliable real-time monitoring, making it suitable for practical deployment.

This paper presents a Bluetooth-based child safety monitoring system that leverages RSSI values and threshold-based logic to estimate proximity and ensure child safety. The system offers a simple, low-cost, and efficient solution for real-time monitoring using widely available mobile and wearable technologies. The findings from prototype-level evaluation and theoretical analysis indicate that the system can provide timely alerts and maintain acceptable reliability for short- range monitoring applications. While RSSI-based estimation has inherent limitations due to environmental variability, the use of threshold-based classification enhances system effectiveness. Future enhancements can include real-time experimental validation, adaptive threshold mechanisms, integration of GPS for long-range tracking, and the use of machine learning techniques to improve accuracy and reduce false alerts. With these improvements, the system has strong potential for practical deployment in child safety applications.

[1]S. Kumar and R. Singh, “IoT-Based Child Safety Monitoring System,” IJACSA, 2025. [2]A. Sharma et al., “Smart Child Tracking System Using Bluetooth and GPS,” IEEE Access, 2024. [3]M. Rahman and T. Ali, “IoT-Based Safety Monitoring System,” JNCA, 2023. [4]J. Lee and H. Kim, “Energy-Efficient BLE-Based Monitoring,” Sensors, 2023. [5]R. Patel and S. Mehta, “Real-Time IoT Tracking System,” IJERT, 2022.

© 2025 International Journal of Engineering and Techniques (IJET).

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