Wu Hao

Bio: Wu Hao is an academic researcher from Nanjing University of Posts and Telecommunications. The author has contributed to research in topics: Cloud computing & Smart city. The author has an hindex of 1, co-authored 2 publications receiving 3 citations.

Intelligence cabinet system based on face identification

Abstract: The utility model discloses an intelligence cabinet system based on face identification, including intelligent cabinet, cloud ware with have the intelligent terminal of camera, wherein the intelligence cabinet contains treater, face identification device and communication device, intelligence the cabinet with cloud ware communication connection, intelligent terminal with cloud ware communication connection. The utility model discloses get or the time can directly utilize face identification function, replace traditional function of sweeping two -dimensional code, manually enter the number of the account password, and the security has obtained the guarantee.

Design and Implementation of Cloud Service System Based on Face Recognition

Abstract: Face recognition technology can be applied to many aspects in smart city, and the combination of face recognition and deep learning can bring new applications to the public security. The use of deep learning machine vision technology and video-based image retrieval technology can quickly and easily solve the current problem of quickly finding the missing children and arresting criminal suspects. The main purpose of this paper is to propose a novel face recognition method for population search and criminal pursuit in smart cities. In large and medium-sized security, the face pictures of the most similar face images can be accurately searched in tens of millions of photos. The storage requires a powerful information processing center for a variety of information storage and processing. To fundamentally support the safe operation of a large system, cloud-based network architecture is considered and a smart city cloud computing data center is built. In addition, this paper proposed a cloud server architecture for face recognition in smart city environments.

Analysis of RGB-D camera technologies for supporting different facial usage scenarios

Abstract: Recently a wide variety of applications has been developed integrating 3D functionalities. Advantages given by the possibility of relying on depth information allows the developers to design new algorithms and to improve the existing ones. In particular, for what concerns face morphology, 3D has led to the possibility to obtain face depth maps highly close to reality and consequently an improvement of the starting point for further analysis such as Face Detection, Face Authentication, Face Identification and Face Expression Recognition. The development of the aforementioned applications would have been impossible without the progress of sensor technologies for obtaining 3D information. Several solutions have been adopted over time. In this paper, emphasis is put on passive stereoscopy, structured light, time-of-flight (ToF) and active stereoscopy, namely the most used technologies for the cameras design and fulfilment according to the literature. The aim of this article is to investigate facial applications and to examine 3D camera technologies to suggest some guidelines for addressing the correct choice of a 3D sensor according to the application that has to be developed.

Intelligent locker based on face recognition and opening method thereof

Abstract: The invention discloses an intelligent locker based on face recognition and an opening method thereof. The locker comprises a remote server, switch control modules, locker bodies, locker doors, lockerdoor locks and a face image collection device terminal; the locker bodies, the locker doors, the locker door locks, the switch control modules and the face image collection device terminal are connected through a physical circuit, and the switch control modules and the face image collection device terminal are linked to the remote server through network interfaces in the locker bodies; the face image collection device terminal is installed on a main control board of one of the regional locker bodies. According to the locker and the opening method thereof, a face recognition technology is usedfor making comparison with face images stored by users, so that articles are stored more conveniently and quickly, and the friendly experience is enhanced for the users.

Method for controlling intelligent cabinet operation box to open and close and intelligent cabinet control system

Abstract: The invention discloses a method for controlling an intelligent cabinet operation box to open and close and an intelligent cabinet control system. The method comprises the steps of receiving an account and a password thereof which are input by a user; judging whether the account exists in database of an intelligent cabinet; if yes, judging whether the password is consistent with the password of the account stored in the database or not; and if not, controlling an electronic lock of the intelligent cabinet operation box by a lock controller of the intelligent cabinet so as to open the intelligent cabinet operation box. With the method disclosed by the embodiment of the invention, the account and the password of a technician are preset in the controller of the intelligent cabinet, the account and the password of the technician are compared by a host of the intelligent cabinet when the technician needs to open the operation box, the operation box is controlled to open the electronic lockby the lock controller if the password is correct, and the technician is convenient to maintain the intelligent cabinet.