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About Face Recognition Based Attendance System: Problem Statement
The document proposes a face recognition based attendance system using deep learning algorithms. It involves detecting faces in recorded classroom videos using CNN, recognizing the faces by comparing them to a database of known student faces, and automatically taking attendance by matching detected faces to student seats. The system is evaluated on the ORL face database, with measures like accuracy and mean average precision. Python tools like Keras and libraries like OpenCV and TensorFlow are used to develop and test the CNN models on GPUs.
Detailed Information
| Author: | ['Priya Rathi'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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