【摘要】 为了解决当下智能酒店出现无法人证合一以及资源不必要浪费问题,通过视频流人脸识别技术与行人再识别技术应用,结合模糊集理论改进的深度置信网络模型实现人体检测,提出一种新型智能化的酒店入住管理系统模型。人脸识别技术、多数据融合技术以及"居民身份证网上功能凭证",为模型提供了可靠的技术支持。结合模糊控制理论的深度置信网络人体检测模型相较于传统人体感应模型,可观察范围由单一场景拓展到复杂多因素场景,有效排除了各种因素的干扰。更多还原

【Abstract】 In order to solve the problems of unauthenticated integration and unnecessary waste of resources in smart hotels,a new intelligent hotel occupancy management system model is proposed by using the video stream face recognition technology and pedestrian recognition technology,combining with the depth confidence network model improved by fuzzy set theory to realize human detection. Face recognition technology,multi-data fusion technology research and "Resident Identity Card Online Functional Voucher" provides reliable technical support for this model.Compared with the traditional human body sensing model,the depth confidence network human body detection model combined with the fuzzy control theory can expand the observation range from a single scene to a complex multi-factor scene,effectively eliminating the interference of various factors.更多还原