| Technical Name | Real time face detection and recognition for access control system application | ||
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| Project Operator | National Central University | ||
| Project Host | 蔡宗漢 | ||
| Summary | This technology construct a face detection and recognition system with deep neural network to implement an access control system. This technique can replace the keys or ID card to achieve a human centric computing system. |
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| Scientific Breakthrough | The face detection block can reach 85% precision rate on WIDERFACE dataset, and can reduce the error detection with catching the feedback generated by face recognition block. The face recognition block can achieve 99% precision on VGGFace2 dataset |
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| Industrial Applicability | This technology can assists our lives through monitors and related algorithms, improving the convenience, security of the environment. |
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| Keyword | deep learning convolution neural network face detection face recognition access control system neural network image processing computer vision deep neural network face tracking | ||
| Notes | |||
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