Web-Based Real-Time Child Surveillance System
Abstract
In an increasingly busy world, guardians often face challenges in ensuring the safety and well-being of their children while away from home. To address this issue, we have developed a "Web-Based Real-Time Child Surveillance System" utilizing Python and Convolutional Neural Networks (CNNs) for real-time monitoring. With the use of a web application, guardians will be able to remotely watch their children's actions and receive real-time notifications. The monitoring system recognizes and categorizes a range of child behaviors, including walking, running, sitting, and falling. With the use of real-time processing and sophisticated machine-learning techniques, our technology provides parents and guardians with a dependable and effective way to monitor their kids while they are away.