Academic Journal of Engineering and Technology Science, 2019, 2(4); doi: 10.25236/AJETS.2019.020412.
Qinggong Ma1,* , Jianfeng Zheng2
1. Changzhou University Huaide College, Taizhou 214000, China
2. Taizhou Droge Co.Ltd, Taizhou 214000, China
At present in our country, most of the intelligent access control system use password and card recognition technology. Although it brings convenience to people's life in some aspects, there are still security risks in some aspects, such as password leakage, or access control card lost or stolen. With the continuous improvement of China's living standards and the rapid development of science and technology, especially more obvious in the face recognition technology development, the speed and accuracy of face recognition has reached the level of practical application after investigation, such as identification and application of resident identity cards. In this paper, the face image is acquired by the camera through research, and then the high-dimensional features of the face are extracted by the classical neural network formula. The face recognition access control system of whether to open the electronic door is finally determined through matching with the features of the family face database..
Deep learning, Face recognition, Access control system
Qinggong Ma, Jianfeng Zheng. Practical Tracking System of Intelligent Workshop Product Based on Wireless Sensor Network. Academic Journal of Engineering and Technology Science (2019) Vol. 2 Issue 4: 85-92. https://doi.org/10.25236/AJETS.2019.020412.
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