Ensuring Child Safety: An IoT-Based Surveillance System for Remote Monitoring and Detection of Anomalous Behavior
Khawaja Rabeet Tanveer, Muhammad Luqman, Anam Qureshi · 2024
Amidst the economic pressures compelling many families to juggle multiple jobs, the ability to maintain consistent parental care for children diminishes. Yet, it remains essential that families feel assured their children are safe in their absence. Addressing these concerns, our research proposes an Internet of Things (IoT) surveillance system with real-time video and audio monitoring capabilities. This system detects anomalies such as crying, movement beyond camera range, and potential signs of child abuse, notifying connected devices with alerts tailored to the severity of the situation. A robust Artificial Intelligence model has been configured to map out the poses of the caretaker and child to detect any signs of abuse and stress. Parents and other concerned adults can monitor their children remotely using our system.