211 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 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.

A method includes obtaining image frames capturing one or more people in at least one scene and identifying features of the image frames. The method also includes providing the identified features to a trained spatiotemporal transformer machine learning model configured to generate a set of features for each of the one or more people. The set of features for each person includes facial features of the person and pose features of the person over time. The method further includes performing face identification using the facial features to generate one or more first embeddings representing at least one face of at least one person and performing gait identification using the pose features to generate one or more second embeddings representing at least one gait of at least one person. In addition, the method includes identifying at least one of the one or more people based on the first and second embeddings.

The invention discloses a zero-configuration adaptive speaker recognition method and system, and relates to the technical field of voice signal processing. The method comprises the following steps: receiving an audio stream, carrying out voice activity detection, obtaining a single-person voice segment, extracting a voiceprint embedding vector of the single-person voice segment, and carrying out online clustering to generate a speaker identity pool; and the identity pool is updated by calculating the multi-dimensional fusion similarity between the remaining single-person voice segments and the voice model, and temporary identity tags corresponding to the single-person voice segments are output. According to the speaker recognition method provided by the invention, a voiceprint template does not need to be registered in advance, and the flexibility and real-time performance of the system are improved.

The invention relates to a workpiece identity control method for an iron tower component steel plate tailor-welding robot, and belongs to the technical field of welding automation and intelligent manufacturing. S2, workpiece clamping and positioning control; s3, performing three-dimensional identification and identity confirmation; s4, the workpiece state and the program are subjected to self-adaption; s5, dynamically correcting the welding path; s6, process real-time monitoring and alarming are carried out; and S7, process tracing and database archiving are conducted, accurate recognition and identity confirmation of workpieces are achieved by constructing a steel plate component three-dimensional model database and combining image recognition and 3D scanning, a welding program and a path template are automatically matched based on a recognition result, weld joint deviation is dynamically corrected, and the welding quality is improved. According to the method, the recognition accuracy, the path tracking precision and the process stability of the welding robot can be remarkably improved, manual intervention is reduced, and the automatic high-precision welding production requirements of multi-model and multi-batch iron tower components are met.

The invention discloses a group key person identification method, electronic equipment and a readable storage medium, and belongs to the technical field of mobile communication. According to the method, the target sub-graph is sent to the terminal equipment corresponding to the target entity, so that the terminal equipment carries out fusion based on the received target sub-graph, and a global heterogeneous network graph corresponding to the target entity after multiple knowledge graphs are linked is obtained; training a local business model according to the global heterogeneous network atlas to obtain local training gradient data, and sending the local training gradient data to a service party; the service party fuses the local training gradient data provided by each service party to obtain global gradient data corresponding to the graph federal learning model, and feeds back the global gradient data to each service party; and respectively updating model parameters of a local service model by each service party according to the fused global gradient data. According to the invention, the group key person identification precision and efficiency can be 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.

According to one embodiment, an information processing device for a gesture-based ordering taking system or the like includes a processor. The processor is configured to detect a person making a particular gesture in image data from a camera, identify each person making the particular gesture in the image data as a first type person, then identify each first type person meeting a candidate condition in the image data as a candidate. The processor then designates a candidate as a subject according to a subject selection condition, and then detects gestured-based input from the subject in additional image data from the camera after the subject has been designated.

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 invention discloses a face recognition control method for an elevator. The face recognition control method comprises the steps that images and depth information of passengers in an elevator entrance area are collected through an image collecting module; the image processing module processes the image, extracts face features of each passenger and compares the face features with information in a database; the behavior recognition module judges whether each passenger walks towards the elevator and enters the elevator or not according to the depth image and the posture estimation; the system establishes an association binding relationship between the face recognition and the entering behavior; an elevator call and a target floor selection instruction are sent to the passengers which are successfully recognized and have the authority; and the identification and behavior records are stored in a database for background audit analysis. The invention belongs to the technical field of artificial intelligence buildings, and particularly provides an artificial intelligence building system which is used for solving the problems that visitors are inconvenient to pass, recognition of multiple persons is confused, and follow-up potential safety hazards exist in the prior art.

A method and system for use of obfuscation coding. An example method includes a computing system receiving an image that depicts a human face. The method then includes the computing system generating a modified image based on the received image, with the generating of the modified image involving inserting into the received image an obfuscation marker that (i) obfuscates the human face in a manner that prevents a person observing the modified image from identifying the human face and (ii) includes predefined symbology that is interpretable by a machine to identify the obfuscated human face. Further, the method includes using the predefined symbology in the modified image as a basis to take action based on an identity of the human face.

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.

A portable electronic device to be used as a keyless device of a vehicle includes a controlling circuit which includes a physiological feature detection module and a processing circuit. The physiological feature detection module is used for detecting a physiological feature of a person. The processing circuit is coupled to the physiological feature detection module and used for determining whether the person is an authorized user of the vehicle according to the detected physiological feature of the person, and for opening a car door of the vehicle or starting the vehicle when the person is identified by the processing circuit as the authorized user.

A method and system are provided for training a robot to recognize objects in the workspace of the robot. Objects in the workspace are identified by the user, and the robot determines candidate objects. Feedback may be used in order for the user to confirm whether the candidate object determined by the robot system matches the object intended by the user. Gripping information for the object may also be identified by the user to train the robot how to grip the object.

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.

The present invention provides a method and device for pedestrian recognition. The method comprises: after determining that the tracking identifier trackID of a target person is lost during the tracking process of a frame image in a target video, obtaining a predicted trajectory of the target person based on a target candidate sequence and a historical position sequence; and determining whether the target person is occluded or has left a boundary; performing different processing on the target candidate sequence based on different states of the target person; and identifying the target person using a REID algorithm and face recognition based on the target candidate sequence during the period when the trackID is lost. The present invention processes the target candidate sequence by predicting the pedestrian's motion trajectory during the period when the pedestrian tracking identifier trackID is lost in the video frame image, thereby improving the stability and continuity of target tracking in the occluded state. In the state when the pedestrian has left a boundary, video splicing technology is used to verify the correctness of the pedestrian's motion trajectory, thereby improving the accuracy of pedestrian recognition.

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 a control system capable of appropriately controlling an indoor unit of an air conditioner installed in an indoor space, a control device, a program, and a control method.SOLUTION: A control system includes: an indoor unit for an air conditioner installed in an indoor space; an image acquisition device disposed adjacent to the indoor unit to acquire an image of the indoor space; and a control device that receives a detection result when presence / absence of a person in the indoor space is detected in a person recognition region preset in any region of the indoor space on the basis of the image acquired by the image acquisition device, and generates a control signal for controlling the indoor unit on the basis of the received detection result.SELECTED DRAWING: Figure 1

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