158 results about "Person recognition" patented technology

The invention relates to the technical field of computer vision and cross-visual-angle pedestrian recognition, in particular to a cross-visual-angle pedestrian re-recognition method based on visual language prompt learning, and the method comprises the steps: obtaining a target image; the target image is input into a preset pedestrian recognition model, a pedestrian re-recognition result is output, the pedestrian recognition model is obtained by training a visual language pre-training model CLIP through a prompt learning mechanism and a two-stage training strategy, the prompt learning mechanism is used for modeling visual angle deviation, and the two-stage training strategy is used for training visual angle deviation. The double-stage training strategy is used for realizing cross-modal semantic alignment. According to the invention, the accuracy and robustness of cross-view identification can be significantly improved.

The invention relates to a limited space operation safety monitoring method based on multi-sign parameter intelligent judgment, which comprises the following steps of: training a single-class support vector machine model by utilizing historical data, and establishing a normal physiological state multi-dimensional reference model under each operation content; the method comprises the following steps: acquiring current operation content in a limited space, determining a vital sign parameter set needing to be monitored, and collecting real-time vital sign data of an operator through a user terminal; calculating a comprehensive abnormal score AS of the real-time vital sign data, and when the comprehensive abnormal score AS exceeds a dynamic threshold value delta, marking the data as comprehensive abnormal data; marking the vital sign parameter with the maximum contribution degree absolute value in the abnormal parameters as a key vital sign; and sending alarm information to a monitoring terminal, wherein the alarm information comprises the identifier of the key vital sign. By comprehensively analyzing the real-time vital signs and comparing the real-time vital signs with the dynamic threshold value, the accuracy of abnormal person recognition is effectively improved.

A vehicle includes multiple storage zones. A set of imaging sensors defines fields of view and each storage zone is included in at least one defined field of view. A controller is in communication with the set of imaging sensors and includes a set of processing modules configured to cooperatively implement a smart storage tracking system including a person recognition processing module and an object recognition processing module. The person recognition processing module includes a process for identifying unique persons using image analysis and the object recognition module includes a process for identifying unique objects using image analysis. The smart storage tracking system defines an object to person and location data entry in a database using the person recognition processing module and the object recognition processing module. The database is in communication with the controller and storing each defined object to person and location data entry.

The application discloses a low-light target detection method based on a double-layer optimization theory, which significantly improves the enhancement quality and detection accuracy. The method first adopts a double-layer learning architecture to bridge the enhancement and detection tasks, and organically combines the low-light image enhancement task and the target detection task. Secondly, the enhancement network parameters are taken as the main optimization target, and the detection network parameters are taken as the constraint condition. The enhancement network generates images that are conducive to machine perception. Finally, in order to improve the training efficiency, a method based on the implicit function theory is proposed to approximately solve the corresponding gradient. The training cost is effectively reduced, and the training speed is improved. The application significantly improves the target detection accuracy in weak light scenes, and can be applied to various target detection tasks in weak light scenes, such as night pedestrian recognition, automatic driving, security monitoring and the like.

The present application relates to the technical field of speech signal processing, and discloses a small sample speaker recognition method and system based on self-supervised speech representation, which comprises: multi-layer self-supervised speech representation extraction and inter-layer adaptive weighted fusion, channel-aware dimension alignment projection, time-channel cross-attention feature learning of a double-flow Transformer encoder, confidence-aware dynamic prototype aggregation and speaker classification, and classification confidence-driven representation refinement feedback; the present application fully utilizes the hierarchical information of the self-supervised model through multi-layer representation fusion, excavates discriminative features from the time and channel dimensions through the double-flow cross-attention mechanism, and introduces a confidence-driven closed-loop feedback mechanism to improve the recognition accuracy of low-confidence samples.

The invention relates to an actuation system (2) for an adjustable element (2) of a motor vehicle, comprising: • a person identification device (8) which is designed to authenticate and identify an operator (4); • a gesture recognition device (9) which is designed to recognize an operating gesture of the operator (4), • a control device (10) which is designed to generate a control command as a result of a signal from the gesture recognition device (9); • an automatic mechanism (11) which is designed to adjust the element (2) depending on the control command of the control device (10), wherein an ultrahaptic device (8) which is designed to generate a virtual ultrasonic wave element (2) which can be haptically perceived by the operator (4) and on which the actuation gesture can be performed by the operator (4). Furthermore, the invention relates to a method for actuating an adjustable element (2) of a motor vehicle by means of such an actuating system (2).

Systems and methods are directed to redacting and reinstating personal identifying information (PII) from text data. A PII management system accesses an input text and identifies, using one or more redaction components, PII mentions in the input text to be redacted. A placeholder manager of the PII management system replaces each unique PII string of a final set of PII mentions with a non-PII string to generate redacted text, whereby the non-PII string is generated by the placeholder manager. The placeholder manager also generates a mapping dictionary that maps each unique PII string to the non-PII string that replaces it. The mapping dictionary is used to reinsert one or more unique PII strings after processing of the redacted text. The redacted text is then transmitted to a downstream component for the processing.

The present invention aims to provide a program that allows each user to easily identify candidates who meet their desired referral criteria (candidate criteria). [Solution] The program of the present invention causes a referral system comprising at least a memory unit and a processing unit to execute a personnel memory function that stores user information, candidate information, and referrer information in the memory unit; a condition memory function that stores candidate conditions desired by one user, which are included in the user information of each user, in the memory unit; and a specification function that, if a candidate who meets the candidate conditions exists and a referrer who can introduce that candidate has a connection with the one user, identifies one or more such candidates as one or more suitable candidates to introduce to the one user.

The invention discloses an elevator intelligent rescue person releasing system and a rescue method. The system comprises a fault judgment module, a safety movement judgment and power supply control module, a lift car movement control module and a leveling detection and door opening module which are in signal connection in sequence. The method comprises the steps that a high-definition camera collects a panoramic image in a lift car, and an intelligent analysis system judges that people are trapped through AI two-dimensional recognition and outputs a signal; the safe movement judgment module collects steel wire rope tension and guide rail state signals; the lift car movement control module releases a brake through PWM pulse signal inching, the lift car is driven to move by means of the weight difference between the lift car and the counterweight, and the dual-redundancy speed measurement system monitors and prevents overspeed in real time. And after the leveling detection module confirms that the lift car reaches the leveling, the door machine is controlled to open the door and guide people to leave through voice prompt. According to the method, full-process intelligent rescue is realized, manual intervention is not needed, the rescue time is greatly shortened, the misjudgment rate of trapped person recognition is low, the method is adaptive to multiple scenes, and the rescue efficiency and safety are remarkably improved.

Provided are a display apparatus and a person recognition and presentation method. The display apparatus includes a display and a controller that is in communication with the display. The controller is configured to: associated information of a display interface of the display and generate a scenario image for recognition in response to a user command; obtain facial feature information for recognition in the scenario image; obtain similar facial feature information when a matching confidence level of pre-stored facial feature information in a database with the facial feature information for recognition does not exceed a preset confidence level; obtain average-person recognition data; generate a sharing control uniquely matching with the facial feature information for recognition; and control the display to present the average-person recognition data and the sharing control on a current display interface.

The technology disclosed can provide methods and systems for identifying users while capturing motion and / or determining the path of a portion of the user with one or more optical, acoustic or vibrational sensors. Implementations can enable use of security aware devices, e.g., automated teller machines (ATMs), cash registers and banking machines, other secure vending or service machines, security screening apparatus, secure terminals, airplanes, automobiles and so forth that comprise sensors and processors employing optical, audio or vibrational detection mechanisms suitable for providing gesture detection, personal identification, user recognition, authorization of control inputs, and other machine control and / or machine communications applications. A virtual experience can be provided to the user in some implementations by the addition of haptic, audio and / or other sensory information projectors.

This disclosure relates to the field of pedestrian recognition technology, and provides a method and apparatus for identifying people traveling together. The method includes: constructing an encoder using multiple fully connected layers; constructing a self-optimizing clustering module based on a clustering algorithm; constructing a people traveling together recognition model using a graph attention network, the encoder, and the self-optimizing clustering module; training the people traveling together recognition model using a reconstruction loss function, a mapping loss function, and a clustering loss; acquiring pedestrian images; extracting pedestrian relationship features and pedestrian attribute features from the pedestrian images; inputting the pedestrian relationship features and pedestrian attribute features into the trained people traveling together recognition model; and outputting the recognition result of whether the pedestrian in the pedestrian image is a person traveling together. By employing the above technical means, the problem of high computational load and low efficiency in existing people traveling together recognition methods is solved.

The embodiment disclose a wearable augmented reality eyewear system including a frame supporting left and right transparent lenses. A plurality of outward-facing cameras mounted on the frame have overlapping fields of view for capturing real-time images of the environment. A plurality of inward-facing cameras integrated in the frame or lenses detect pupil size, pupil dilation, and gaze direction using infrared imaging. A digital processor analyzes gaze direction and fixation based on virtual grid coordinates, initiates an object or person recognition routine using images from the outward-facing cameras, and compares detected features with records in a database. At least one lens includes an AR projection system embedded therein and configured to superimpose data about the recognized object or person in the user's field of view. An audio speaker positioned near the user's ear outputs related audio. A wireless communication module enables real-time data exchange with a cloud-based platform.

The embodiment of the application belongs to the field of multi-camera systems, and relates to a multi-target region dynamic vehicle and pedestrian identification method, which comprises the following steps: acquiring image data of a target region collected by multiple cameras; pre-processing the image data to extract features of the target region; performing target detection on the image data to identify vehicle and pedestrian targets in the image data and determine positions and features of the targets; preliminarily positioning each target and predicting a motion trajectory of the target through a Kalman filtering algorithm or a particle filtering algorithm; and performing space-time correlation on the targets identified by the multiple cameras based on a joint data correlation method of the positions, features and motion trajectories of the targets. The application also provides a multi-target region dynamic vehicle and pedestrian identification system. The application improves the coverage and accuracy of target identification.

The application discloses a fund guarantee information processing method and system in a supply chain scene, relates to the technical field of big data information processing, and comprises the following steps: S1, collecting value-added tax invoice information and associated business data in supply chain transactions; S2, performing multi-dimensional feature extraction on the value-added tax invoice information and constructing a multi-dimensional fusion feature vector, wherein the multi-dimensional fusion feature vector extracts a semantic embedding vector of a cargo name based on NLP entity recognition, extracts time sequence statistical features based on invoice time sequence analysis, and extracts transaction subject correlation features based on the taxpayer identification numbers of buyers and sellers; S3, inputting the feature vector into an unsupervised anomaly detection model trained based on historical invoice data, calculating a global anomaly score, outputting a false trade mark, and simultaneously performing interpretable verification on key features based on feature contribution degree. The application breaks through the limitations of traditional manual auditing and single rule comparison, improves the false trade screening efficiency through automatic data collection and multi-dimensional feature fusion modeling.

The application provides an image and voice recognition management method and system for trapped person identification, and belongs to the technical field of voice recognition, and specifically comprises the following steps: determining an intervention processing strategy of a voice recognition device of an elevator in a stop state based on a recognition risk type of the voice recognition device and voice recognition data of the voice recognition device in a recent preset time period; determining a voice recognition processing result of the voice recognition device based on the intervention processing strategy; and determining an intervention management method of the voice recognition device in the stop state in a current time period by using the voice recognition processing result and idle running data of the elevator in different time periods, so that the reliability of trapped person identification processing is improved.

To provide an automated transaction device that positions an identity verification medium and accurately reads predetermined information the identity verification medium.SOLUTION: An automatic transaction device includes a housing, and a reading device 72 that is provided on a central front surface 23 of the housing to read predetermined information from an identity verification medium. The reading device 72 includes: a media placement surface 10 that is inclined at a predetermined angle from a horizontal plane, and on which the identity verification medium is placed to read the predetermined information from the medium; and a positioning unit 12 that positions the identity verification medium placed on the media placement surface. The predetermined angle is set such that the identity verification medium placed on the media placement surface slides toward the positioning unit.SELECTED DRAWING: Figure 2

This invention relates to a method, apparatus, computer device, and storage medium for robot object recognition. The method includes: a robot acquiring a current environmental image and current distance data via a data acquisition device, wherein the current distance data is the current distance between the robot and the target object; the robot recognizing the target object based on the current environmental image, the current distance data, and a target object recognition model, and obtaining the center coordinates of the target object; and the robot obtaining the actual three-dimensional coordinates of the target object based on camera calibration parameters and the center coordinates of the target object, thereby generating a navigation path based on the actual three-dimensional coordinates of the target object. This invention can improve the accuracy of robot recognition.

A pedestrian detection device for blind spots on buses with risk avoidance function includes a powered telescopic frame, a pedestrian recognition module, an audible and visual alarm, an environmental recognition module, a geographic location recognition module, an emergency avoidance module, and an embedded microcontroller. The powered telescopic frame is installed on the front roof of the bus. The pedestrian recognition module, environmental recognition module, and emergency avoidance module are all mounted on the powered telescopic frame. The audible and visual alarm and the embedded microcontroller are both installed on the interior ceiling of the bus, directly below the powered telescopic frame. The geographic location recognition module is mounted on the embedded microcontroller. The embedded microcontroller is connected to the powered telescopic frame, pedestrian recognition module, audible and visual alarm, environmental recognition module, geographic location recognition module, and emergency avoidance module via signals. This invention can effectively identify pedestrians in the blind spots of buses, alert the driver to driving safety through the audible and visual alarm to avoid traffic accidents, and also has risk avoidance and emergency avoidance functions.

The invention discloses a BERT-based media information viewpoint extraction method, device and equipment and a storage medium, and the method comprises the steps: S1, inputting a to-be-processed media corpus, and recognizing various types of viewpoint holders in corpus information, the various types of viewpoint holders comprising named entities, pronouns and anaphora phrases; s2, performing semantic association processing on the recognized viewpoint holder and corpus information to obtain associated input data; s3, inputting the associated input data into a trained viewpoint extraction model, wherein the viewpoint extraction model is constructed based on a BERT model, an attention mechanism layer and a viewpoint classification layer; the method has the beneficial effects that the comprehensiveness of viewpoint holder recognition is greatly improved by recognizing various types of viewpoint holders, and the semantic relation between the viewpoint holders and corpus information can be deeply mined by adopting a word vector representation method and a semantic similarity calculation method, so that the viewpoint information is extracted more accurately.

The invention discloses a speaker recognition model frequency modulation trigger injection method, particularly relates to the technical field of voice signal processing and artificial intelligence safety, and is used for solving the problems that an existing speaker recognition model back door injection method is insufficient in concealment, poor in black box environment adaptability, prone to distortion of trigger characteristics in the physical transmission process and poor in safety. And mainstream defense strategies such as model fine tuning, pruning and spectrum detection are difficult to resist. The method comprises the following steps: constructing a piecewise linear periodic low-frequency modulation curve for original voice, generating a smooth phase track according to a frequency and phase relationship, constructing a sinusoidal modulator to generate a hidden sample, mixing normal samples in proportion and uniformly marking, training a model by a black box, testing reproduction modulation and inputting the model; according to the method, the defects of insufficient concealment, black box adaptability, physical robustness and defensive resistance of an existing method are overcome, high-concealment, high-robustness and wide-application backdoor injection is realized, and reliable support is provided for security evaluation of a speaker recognition system.

An assistance information management system including a usage record data storage section, an assistance record data storage section, an association section, and a presentation section. The usage record data storage section is configured to store usage record data in which usage information on use of an assistance device is recorded in association with usage time information and assisted person identification information. The assistance record data storage section is configured to store assistance record data, an extraction section configured to extract the usage information and the assisted person management information on a specific assisted person. The association section is configured to associate the usage information and the assisted person management information with each other based on the usage time information and the management time information. The presentation section is configured to present the associated usage information and the assisted person management information in a visually recognizable manner.

This application discloses an image recognition method, a server, and a display device. The display device sends an image recognition request to the server. The server receives the image recognition request, which includes the target image, video identifier, and playback time point. It obtains the feature matching confidence level of the facial data corresponding to the person in the target image and the target person's name. If the feature matching confidence level of the target person's name is greater than a first preset threshold, the person information corresponding to the target person's name is directly output as the recognition result. If the feature matching confidence level of the target person's name is not greater than the first preset threshold, the method outputs the person information corresponding to the target person's name as the recognition result based on the video identifier, playback time point, and a list of people determined by the media asset database, and if the target person's name is in the list. Otherwise, an unrecognized identifier is output. Voiceprint-assisted recognition improves the accuracy and recall rate of person recognition, enhancing the user experience.

To provide a person recognition device that can more reliably determine the intrusion of a person into the area near the garbage collecting vehicle.SOLUTION: A person recognition device comprises an image processor for recognizing a person in the vicinity of a garbage inlet 4. The image processor includes person determination means capable of performing: an upper body determination process of comparing an object image in an image with feature data of a head portion to determine whether or not the object image represents the head portion; and a lower body determination process of comparing the object image in the image with feature data of a leg portion to determine whether or not the object image represents the leg portion. The person determination means also includes intrusion determination means that determines whether or not the object image determined by the person determination means as representing the head portion or leg portion is in a predetermined area near the garbage inlet 4. The person determination mean is configured to: when the upper body determination process is executed to result in that the object image is determined not to represent the head portion, execute the lower body determination process; or otherwise, when the lower body determination process is executed to result in that the object image is determined not to represent the leg portion, execute the upper body determination process.SELECTED DRAWING: Figure 1

The invention relates to the technical field of image recognition, in particular to a pedestrian target recognition method and system based on rapid image enhancement, and the method comprises the following steps: obtaining a pedestrian video; performing rapid enhancement processing on image frames in the pedestrian video to obtain an enhanced pedestrian video; a high-frame-rate pedestrian recognition model is formed by combining a YOLOv5 algorithm, a DeepSORT algorithm and a CBAM attention mechanism, and zoom intersection-union ratio loss is introduced for training; and performing pedestrian identification and tracking on the enhanced pedestrian video through a high-frame-rate pedestrian identification model. According to the method, the image frame detection and enhancement model is integrated as an image preprocessing mechanism, and the improved high-frame-rate pedestrian recognition model is combined, so that the algorithm structure is optimized, the recognition performance is improved from the data source, and efficient and accurate pedestrian multi-target recognition is realized.

To provide a highly convenient electronic lock unit that allows unlocking and resetting of a personal identification number, etc., more easily, and a user-friendly delivery box in which such an electronic lock unit can be suitably used. [Solution] The device comprises a key operation unit 11 for locking and unlocking using a passcode, a main lock 12 for locking and unlocking using a physical key, and a reset lock 21 for resetting the passcode using the physical key, and the main lock 12 and reset lock 21 are configured to be operable independently of each other.

The Internet generally provides anonymity to the online activities of visitors to websites and other online resources. This prevents the operators of websites and others from identifying visitors who do not wish to be identified. Accordingly, embodiments generate mappings between entities (e.g., IP addresses, domains, cookies, or devices) and accounts (e.g., companies) to de-anonymize online activities. In an embodiment, summary mappings are generated based on activity data. Each summary mapping may comprise an entity, potential account identifier, and an activity vector that measures observations of an association between the entity and potential account identifier from an activity source for multiple summary periods. A model may be applied to the summary mappings to compute signal strengths for a plurality of candidate mappings. A winning mapping may then be selected for each entity in the candidate mappings, and used to associate the entity with an account in one or more downstream functions.

A data structure for 3D object management data used for displaying images of digitized 3D objects is disclosed.The data structure includes a registrant identification code to identify the registrant of the 3D object, an object type number specifying the type of the 3D object, an object serial number assigned to the 3D object whose type has been specified in sequential order of registration, a storage number to specify a storage means storing 3D data to specify a 3D shape of the 3D object to be registered, geodetic position data to specify a current position of the 3D object to be registered, orientation data to indicate the direction of the 3D object, and updated date and time of the 3D data. The 3D data is acquired from a blockchain, in which the 3D object management data is recorded, using an inputted geodetic position to generate and display relevant 3D images.

The invention provides a speaker recognition method and device, electronic equipment and a storage medium. The speaker recognition method comprises the following steps: acquiring a first communication record; according to the first communication record, determining a candidate participant set of the first video conference, the candidate participant set comprising a plurality of candidate participants; and speaker recognition is carried out according to the audio data of the first video conference and the preset voiceprint information of each candidate participant in the candidate participant set, and a speaker recognition result is determined. According to the speaker recognition method, the voiceprint matching range is more accurate, and the accuracy and efficiency of speaker recognition in a video conference are improved.