394 results about "Person recognition" patented technology

The system described is an integrated parking management system which makes use of patented vehicle detectors to collect and transmit data, essentially in near real time, as to all events happening as to single or multiple parking spaces (e.g. current and historic use, length of time of occupancy of current occupant) to a central clearing device for which patent application has been made which serves as a logic core and repository, making use of proprietary software, analyzing, displaying and distributing the data so developed as to a parking plant and all of its components to allow all parties (including prospective users) who are concerned with the various aspects of a parking plant and its components (e.g. determination as to availability of spaces, maintenance and repair of meters, collection of revenues and enforcement of parking regulations) not only to access and make passive use of the information developed, in near real time, to permit them to identify what's happening to the plant and its components as to their own particular interest in such plant and so maximize the efficient use both of the resources of the plant and their own resources directed to the particular aspect of their interface with the plant and its components but also to access and make active use of such information for whatever purpose and in whatever fashion using whatever means of access they may wish. While others have made claim to certain of the individual functions described, e.g. vehicle detection, nobody has identified or patented

The present invention relates to a method of generating a multi-factor encryption key using a simple password in order to access control over information stored at a second entity from a first entity via at least one communication network. In one embodiment this is accomplished by, requesting to receive an application at the first entity from the second entity via the communication network, activating the first entity to generate a shared secret key, wherein the shared secret key is computed from a first entity specific ID and a random number generated at the first and second entity and allowing the user to register with the application of the second entity by the first entity, wherein the registration include entry of a personal PIN (personal identification number), a personal message etc.

The invention discloses a service robot control platform system and a multimode intelligent interaction and intelligent behavior realizing method thereof. The service robot control platform system comprises a voice control module, a binocular image acquisition module, an RFID (Radio Frequency Identification Device) receiving and transmitting module, a bottom wheel movement module, an obstacle avoidance module and a mechanical arm control module. The multimode intelligent interaction and intelligent behavior realizing method comprises the following steps of: 1, voice interaction; 2, independent navigation and location; 3, mechanical arm control; and face detection and recognition. According to the invention, a robot carries out intelligent interaction and intelligent behaviors, and the capacity of intelligent grabbing of the robot is enhanced. Except for special person recognition, distinguish of a picture face and an actual face is added, thus the influence to a program by the picture face is effectively eliminated. According to the invention, anthropomorphic mechanical arm grabbing is controlled in a specific anthropomorphic path grabbing manner, so that a service mode of the robot is more intelligent and humanized.

When authentication data of a person O to be authenticated is registered as dictionary data, this authentication data of the person to be authenticated is acquired and collated with the registered dictionary data. In accordance with the collation result, the dictionary data is updated.

The present disclosure relates to a gait recognition method based on deep learning, which comprises recognizing an identity of a person in a video according to the gait thereof through dual-channel convolutional neural networks sharing weights by means of the strong learning capability of the deep learning convolutional neural network. Said method is quite robust to gait changes across a large view, which can effectively solve the problem of low precision in cross-view gait recognition existing with the prior art gait recognition technology. Said method can be widely used in scenarios having video monitors, such as security monitoring in airports and supermarkets, person recognition, criminal detection, etc.

The invention relates to a system for monitoring the person entering and exiting the presence area of a prison by recognizing the face of the person. The system comprises servers, personnel information collecting and registering equipment, an entering and exiting gate, face recognition equipment and real-time displaying equipment; the servers consist of a web server and a database server and is used for storing all the effective historical recordings and browsing and printing the historical recordings; the personnel information collecting and registering equipment comprises a registration machine, a computer for registering and a card reader connected with the computer, and is used for taking a picture for the visiting person, analyzing the face feature data of the visiting person, associating the identity information of the visiting person with the identity information of the visited person and sending the face feature data of the person to the server and the person-face recognizing equipment; the person-face recognizing equipment is used for recognizing the visiting person and controlling the gate to open and close according to the visiting person recognition result; the real-time displaying equipment is used for displaying the picture, the name and the certificate number of the visiting person, the name and the department information of the visited person and the comparisonresult when the person entering and exiting the presence area of the prison so that the operator on duty can monitor the person entering and exiting the presence area of the prison in real time. Due to the adoption of the system, the automatic recognition of the person entering and exiting the presence area of the prison in the prison industry is realized, the visiting person check accuracy and safety are improved effectively, and the visiting person entering and exiting the presence area of the prison can be monitored in real time and checked later.

A digital video camera system that provides a video summary using a method that includes: designating a reference image containing a particular person; capturing a video sequence of the scene using the image sensor, the video sequence including a time sequence of image frames; processing the captured video sequence using a video processing path to form a digital video file; during the capturing of the video sequence, analyzing the captured image frames using a person recognition algorithm to identify a subset of the image frames that contain the particular person; forming the video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the particular person; storing the digital video file in the storage memory; and storing a representation of the video summary in the storage memory.

The invention relates to an embedded type speech emotion recognition method and an embedded type speech emotion recognition device. The method comprises a feature extraction method, an emotion model training method, a Gaussian mixture model and an emotion recognition method. The method is as follows: parameters of a speech emotion recognition model can be adjusted in a self-adoption manner according to the recognition result of a speaker module, and an unspecific speaker speech emotion recognition question is transformed into a specific speaker speech emotion recognition problem. The device comprises a central processor, a power supply, a clock generator, a Nand Flash storage, a Nor Flash storage, an audio coding-decoding chip, a microphone, a loudspeaker, a keyboard, an LCD (Liquid Crystal Display) display and an USB (Universal Serial Bus) interface storage. According to the embedded type speech emotion recognition method and device, a speaker recognition model is added to the speech emotion recognition, and therefore, the problem that the speech emotion recognition is suddenly declined under an unspecific speaker condition is solved, and the identity recognition function is brought to the device.

An imaging apparatus is provided including an imaging unit configured to obtain image data, a display unit, and a communication unit configured to communicate with a plurality of external apparatuses. The imaging apparatus further includes a storing unit configured to store person identification information including at least face image data while associating the person recognition information with information relating to the external apparatuses, a collation unit configured to collate a target in the image data with the person identification information, a detection unit configured to detect an external apparatus that is communicating with the imaging apparatus, and a display control unit configured to display a plurality of pieces of face image data on the display unit each as a candidate of a transmission destination of the image data in an order based on a result of collation by the collation unit and a result of detection by the detection unit.

The invention discloses a smart community monitoring system, including an access control system for opening a door when the first human body feature information of a person trying to open a corresponding door is verified to be successful, an elevator control unit for unlocking the button for a target floor in an elevator for a first preset time when the second human body feature information of a passenger is verified to be successful, a video monitoring unit for acquiring real-time video images in a community, a security detection unit for detecting whether someone fall down according to the video images and alarming when a person falls down over a second preset time, a person recognition unit for detecting a facial image in the video images and comparing the facial image with a prestored target person image and alarming when detecting a facial image consistent with the target person image, a rubbish detection unit for alarming when detecting the rubbish quantity at a rubbish spot exceeds standards, and a smart home unit for performing indoor safety protection and environmental conditioning. According to the invention, real-time smart monitoring and safeguard of the community are achieved.

A communication draw-in system that enables robot-human communication to start smoothly is provided. The communication draw-in system is a communication draw-in system provided in a robot that communicates with a target human, and includes: a human specifying unit 200 for specifying a position of the target human; a light source control unit 201 for moving light toward the specified position of the target human; a draw-in control unit 203 for instructing the robot to perform a draw-in operation for making the target human recognize a direction of the robot; and a human recognition specifying unit 204 for determining whether or not the target human has recognized the robot, wherein the robot is instructed to start communicating with the target human, in the case where the target human is determined to have recognized the robot.

A hand-held personal identification analysis device is provided. The hand-held personal identification analysis device includes a scanning system for gathering biometric information from individuals, a profiler system for developing profiles of individuals based on biometric information gathered from the scanning system, and a personal data assistant or similar computing device with a screen for providing a user interface and overall system control A scanning system interface couples the scanning system to said computer module.

The invention discloses a dish recommendation method and device for healthy diet of an intelligent restaurant and a storage medium, and the method comprises the steps: collecting the basic informationof a pre-dining customer, obtaining the basic information of the customer body type, gender and age through a person recognition algorithm, and building a person database based on the face information of a user; constructing a dish nutrition database, recording nutrition parameters of all dishes wherein the nutrition parameters comprise calorie, sugar content, salt content, mineral substances andvitamin values of the dishes; for new customers, enabling a server randomly to generate a recommendation menu conforming to the intake standard through the national standard reference intake standardbased on the basic information of the dining customers, classifying and sorting the dishes according to different dish tastes, and recording the ordering content of the customers after the customersplace orders; for old customers, enabling the server to generate a recommendation menu conforming to the nutrition intake standard of the customers based on the basic information of the dining customers in combination with a dish preference prediction model generated by the historical ordering records of the customers.

There are provided a person recognition apparatus, method, and a non-transitory computer readable recording medium which can perform accurate person recognition according to a time dependent face change. A sorting section sorts a plurality of images by shooting date and time. A group division section divides the plurality of images into a plurality of groups according to a predetermined shooting date and time range. A face recognition section extracts feature amounts by face recognition for each group. An in-group person determination section determines a person having a similarity of a predetermined reference threshold value or higher as the same person and integrates the feature amounts relevant to the person for each group. An inter-group person recognition section recognizes persons having a similarity of a predetermined recognition threshold value or higher as the same person between two groups based on the feature amounts integrated in adjacent groups.

Embodiments of the invention provide a video file splitting method and device, an electronic device and a storage medium. The method comprises the steps of determining a frame image segmentation pointof a to-be-split video file; according to the frame image segmentation point, obtaining a key frame of each video segment corresponding to the frame image segmentation point; inputting the key frameinto a pre-trained host identification model to obtain host category information; if the host category information meets a preset screening condition, determining a key frame corresponding to the hostcategory information as a video segmentation point set; according to the video segmentation point set, splitting the to-be-split video files. The video files can be automatically split in batches, manual intervention is not needed, the video splitting efficiency is improved, and meanwhile the production efficiency of short videos is improved.

The invention discloses a smart community abnormality alarm system based on target track analysis. The system comprises a person recognition module which recognizes a figure target from images uploaded by all image collection equipment in a community, a track point generation module which acquires the position of the identified figure target to generate track points of the figure target, a movingtrack generation module which sorts the track points of the same figure target according to a recognition time to generate a moving track of the figure target, and a moving track comparison module which compares the moving track of the figure target with a pre-established non-abnormal track template and judging whether a person belongs to an abnormal target or not according to a comparison result,and alarm information is sent to a security monitoring terminal if the moving track comparison module judges that the person belongs to the abnormal target. According to the system and the method, asuspicious person can be identified by judging the moving track comparison template of the same person such that security personnel can pay attention to the suspicious person, and measures can be taken when necessary to prevent damage to residents and property.

The invention relates to a method and an apparatus for the authentication of users of a hybrid terminal comprising generation of a unique registration code, and a profile file, at least one registration step, comprising entry of user identification data, entry and transmitting a personal identification number from the internet-capable terminal to a registration server, transmitting the user identification data of the user from the internet-capable terminal to the registration server, entry of the unique registration code, validation of the user identification data and, in the case that the user identification data correspond to a user reference data record, assignment of the profile file and if the entry of the personal identification number by the user has not taken place, generation and transmission of the personal identification number from the registration server to the user, and an authentication step, comprising checking whether the profile file is present on the hybrid terminal and, if it is present, carrying out an authentication, otherwise carrying out an initial authentication and, if the initial authentication shows that the user is authorised, generation and transfer of the profile file from the authentication server to the hybrid terminal, and after carrying out the initial authentication or the authentication, transfer of a clearance message to at least one of the service providers.

The invention discloses a fireproof alarm system for intelligent buildings, and belongs to the field of fire safety. The technical scheme point thereof comprises a detection module, an early warning module, an alarm module, a person recognition module and a central control module. The detection module detects the temperature and the smoke concentration situation in a security area, the detection module controls the early warning module to perform small-range alarm on a detected area and collects image information of the detected area when a suspected fire occurs, and the detection module controls the alarm module to alarm all areas and collects images of all areas when the fire is detected. The person recognition module transmits an image where someone may exist in the image information toa central processing module. The central processing module displays the image information, and the staff controls the other modules according to the image information through the central processing module, thereby solving the problem that the suspected fire in the security area is difficult to deal with, and achieving the effect that the staff correspondingly responds through the image information.