Deploying a Sliding Gate by Utilizing Computer Vision and Machine Learning Techniques

To maintain security, the majority of individuals use keys, security cards, a password, or a pattern to unlock the door. The purpose of this research is to assist persons in increasing the door security of key places through the use of face detection. Face is a complicated multidimensional structure that nece s sitates the use of powerful computational techniques. Face detection, popularly known as facial recognition, is a computerized technique that uses Computer Vision and Machine Learning (CV and ML are Artificial Intelligence specializations) to recognize and validate human faces in collected photos. The microcontroller is instructed in such a way that the door will automatically open for the permitted individual. The alert, on the other hand, will sound as a warning to the unidentified person. This is strictly for the sake of security. The interface between hardware and software is crucial. Even the deployment of facial recognition was challenging. Despite all the complexity, a prototype to test hypothesis is successfully created and illustrated the team's basic method in this study piece.