Facial Recognition Security System for Nursery School Child Pick-ups

Abstract

In response to the escalating concern over child safety in nursery schools and daycares, particularly highlighted by recent incidents of attempted kidnappings, there was a pressing need for advanced security measures to safeguard children during pick-up times. Traditional methods of verification and authorization had proven inadequate in the face of evolving security threats. To address this challenge, we proposed and implemented a Facial Recognition Security System for Nursery School Child Pick-ups designed to authenticate authorize d individuals responsible for picking children from educational institutions. This innovative system leveraged state-of-the-art face recognition technology to provide a secure and e cient method of confirming the identity of individuals permitted to pick up children. By integrating biometric identification, we ensured that only authorized individuals, including parents, guardians, or authorized transport agents (drivers), were granted access. The significance of this project extended beyond enhancing safety within educational settings. It o↵ered a robust solution to a broader community concern, providing peace of mind to parents and guardians while potentially serving as a model for similar institutions globally. Moreover, by addressing the critical security gap in child pick-up procedures, this system aimed to mitigate risks of unauthorized access, instances of theft, and the distressing possibility of children going missing. 0our project contributed to the enhancement of child safety protocols in nursery schools and daycares, emphasizing the importance of a comprehensive and privacy-sensitive approach to security. Through the implementation of advanced technology, we aspired to revolutionize safety protocols, ultimately ensuring the well-being and security of children in educational environments.