大数据在人脸识别在智慧城市的应用

目前人脸识别技术无法满足智慧城市高增长率人脸识别需求,因此提出大数据在人脸识别在智慧城市的应用。以智慧城市应用需求为基础,建立大数据人脸识别模型,处理过程中人脸特征光照、距离以动态特征等影响因素,建立数据库,对数据低频处理后信息分类,完成人脸特征识别。设计仿真实验,对比大数据人脸识别方法、OpenCV人脸识别方法以及BP神经网络人脸识别方法的识别准确率,证明研究的有效性。

Application of Big Data in Face Recognition in Smart City

At present,the technology of face recognition cannot meet the demand of high growth rate face recognition in intelligent city,so the application of big data in face recognition in intelligent city is proposed. Based on the requirement of intelligent city application,the big data face recognition model is established,the influence factors of face feature illumination and distance are dynamic feature in the process of processing,the database is established,the information after data low frequency processing is classified,and the face feature recognition is completed. Design simulation experiment,compare the recognition accuracy of big data face recognition method,OpenCV face recognition method and BP neural network face recognition method,and prove the effectiveness of the research.