AUTOMATED DOOR LOCK USING FACE AND VOICE RECOGNITION

In modern era, the security concerns have grown enormously. The security of restricted areas such as secret offices or buffer zones is of extreme importance.Monitoring such areas rely currently on technology and man power, however automatic monitoring has been advancing in order to avoid potential human errors that can be caused by different reasons. Hence the automated door lock using face and voice recognition is being proposed. The real-time face recognition has been made feasible by applying the method of Haar Cascade, Convolutional Neural Network. The proposed work initially capturing video/image of all the permitted persons using camera module and records the information into database. Then automated system recognizes and classify the Faces using CNN(Convolutional Neural Network) algorithm, and then voice recognition using code word with google speech-to-text. The real-time Camera module face detection has been made feasible by applying of Haar Cascade algorithm. The software first \staking Camera module of all the allowed persons and stores the information into database. Proposed work focuses with automated method to detect face and recognize the individual. Display that person name; classify weather live or not using CNN algorithm. The process comprised of three parts, first take footage and transform it into s-frames. Next use CNN for the purpose of classification, and third match the code word using google speech-to-text API.