| Popis: |
The human face is the feature that most clearly identifies a person. The face recognition system can be developed to use facial characteristics as a biometric. The most difficult task is frequently keeping track of attendance. The conventional method of keeping track of attendance is calling out the pupils and accurately do cumenting their presence or absence. However, these conventional methods require a lot of time and effort. The Open CV-based facial recognition technique is presented in this work. The model consists of a camera that captures input photos, a face detection algorithm, face encoding and identification, and attendance tracking in a spreadsheet. By teaching the system with the faces of the authorised pupils, the training database is established. A deep learning system was used in this study to identify a person's face. A deep learning method utilised in this is convolution neural networks. The LBPH offers good accuracy when compared to other currently employed approaches. |
