269 results about "Biometrics" patented technology

A distributed intelligent authentication method based on dynamic multi-modal fusion relates to the field of network security, and adopts an alliance chain + DAG hybrid block chain architecture, combines a threshold signature to realize secret key fragment management, and switches among PBFT, Raft and probabilistic algorithms through a dynamic consensus mechanism to improve authentication efficiency. The multi-mode authentication module is based on a dynamic weight distribution algorithm, integrates biological characteristics, behavior analysis, equipment fingerprints and environmental factors, and combines an LSTM-GAN model and a quantum random number driven challenge-response mechanism to realize zero-trust verification under environmental perception. The session management module generates a session key by using a chaotic mapping algorithm. In the aspect of privacy protection, CKKS homomorphic encryption, zero-knowledge proof and attribute-based encryption are fused. According to the method, the block chain technology, the secure multi-party computing technology, the machine learning technology and the quantum cryptography technology are fused, and a high-performance, high-security and strong-privacy-protection distributed authentication solution is provided.

The present disclosure relates generally to computer-implemented systems and techniques for leveraging a virtual decentralized database to enable user identity authentication and verification of user activity and associated behaviors on open internet and public web-based and native applications. Techniques are disclosed for user identification profile onboarding using biometrics, frictionless CAPTCHA (Completely Automatic Public Turing Tests To Tell Humans And Computers Apart) processes, passive data capture of physiological and behaviors using device sensors, and cryptographic methods of storing user engagement activity as immutable data files for secure distribution on a decentralized virtual private network. Such technologies operate to establish a high confidence level for user authenticity, communication origin, engagement outcome transparency and clarity of intent for users active on social, commercial, e-commerce and information sharing platforms. More specifically, an unobtrusive passive data capture method of authentication and verification on a secure VPN supports the organic, spontaneous and original experience audiences desire while simultaneously eliminating opportunities for unscrupulous actors to exploit open internet exchanges by inserting fraudulent user accounts, automated bots and other measures that mimic or impersonate live humans, which ultimately undermines user confidence in data safety and erodes mutual trust between people, companies and institutions.

This invention describes apparatuses / methods for enhanced user authentication in cellular networks wherein the apparatus / method checks for a preferred authentication procedure, performs the preferred authentication procedure with a core network, and sets up a connection. Thereby, authentication challenges (such as retrieving core network data, optimizing resources and strength of authentication) arising from users of one or more devices (e.g., UEs) using multiple / different networks, (e.g., with multiple subscriber identity modules and / or different radio access technologies), avatar-based communication and / or biometrics (e.g., by means of embedded sensors or wireless sensing) can be addressed.

A method includes generating a second public key and a second private key of a second public-private key pair, and transmitting the second public key to a first user device, which stores an encrypted biometric template. The encrypted biometric template is a biometric template encrypted with a first public key of a first public-private key pair. The first user device encrypts the encrypted biometric template with the second public key to form a double encrypted biometric template. The method includes receiving the double encrypted biometric template from the first user device, decrypting the double encrypted biometric template using the second private key to obtain the encrypted biometric template, determining a test biometric template and encrypting the test biometric template, comparing the encrypt-test biometric template and the encrypted biometric template to obtain an encrypted biometric match score, and transmitting the encrypted biometric match score to a server computer.

A private identity system performs on-device embedding and homomorphic tokenization (HT) to map plaintext inputs to non-invertible HT tokens. During enrollment, HT tokens are stored and a centroid can be computed for each user. During prediction, a new HT token shortlists nearest centroids, followed by 1:1 distance verification against stored embeddings. On success, the system returns a UUID bound to the user. Because passkeys can be shared via device or account keychains, the UUID binds the ceremony to the same enrolled individual without exposing biometrics.

The invention relates to the technical field of biological recognition, in particular to a procambarus clarkii disease recognition edge computing system based on an improved YOLOv5 algorithm. According to the technical scheme, the system comprises a data acquisition and preprocessing module, a disease detection model based on an improved YOLOv5 algorithm, a multi-label association classification module and an edge cloud collaborative reasoning module. The definition of the obtained image is improved through the multispectral imaging unit, image details are enhanced through the improved MSRCR algorithm, meanwhile, water turbidity interference and algae shielding influence are eliminated, the false detection rate is reduced, in addition, the extraction capacity of small targets and complex features is improved through the backbone network module, and the detection accuracy is improved. According to the invention, basic disease identification can be realized in an off-network state through the local decision-making unit, the real-time requirement of edge equipment is met, an instant diagnosis result is provided, and the overall diagnosis accuracy is effectively improved in combination with the cloud enhancement unit.

The invention relates to the technical field of information security, and discloses an identity authentication and access control system and method based on behavior feature recognition, and the system comprises a data collection module which is used for collecting behavior data of a user in multiple devices, and transmitting the collected behavior data to a feature extraction and preprocessing module for subsequent processing and analysis; and the feature extraction and preprocessing module is used for extracting features in the behavior data received by the data acquisition module, preprocessing the features, and transmitting the preprocessed data features to the feature fusion and representation module for further fusion and representation. By integrating behavior data collected by various devices and sensors and adopting a multi-modal fusion and representation technology, the accuracy and robustness of identity authentication are remarkably improved, then the system can perform identity authentication based on behavior characteristics of a user, the limitation of a traditional technology based on passwords or biological recognition is avoided, and the user experience is improved. The method is suitable for preventing the identity information from being stolen or counterfeited.

The vending machine system employs at least one biometric capture device or configured to capture biometrics of a person accessing the vending machine. The system monitors the vending machine to track usage and attempted usage of the vending machine. The system creates records and logs of usage and attempted usage of the vending machine. The system also generates alerts concerning usage and attempted usage of the vending machine. The records, logs, and alerts identify information concerning the usage and attempted usage of the vending machine, including the identity of the user, an image of the user / person, the location, and information concerning the transaction, such as the item to be dispensed.

The invention discloses a hotel self-service equipment collaborative management system and method based on the Internet of Things, and relates to the technical field of hotel intelligent management, and the method comprises the steps: a sensing module monitors personnel distribution and behavior characteristics in an equipment operation radius in real time through a multi-source sensor network, and generates spatial state data; the scheduling engine module receives the spatial state data, divides a physical space into virtual grids, calculates a service pressure index and generates an equipment state control strategy; an equipment cooperation module responds to the equipment state control strategy, establishes an equipment cluster dynamic health baseline and executes cross-equipment micro-task scheduling and verification; and the user interaction module fuses the biological characteristics and the behavior data to generate a dynamic trust score, and controls equipment service activation. According to the invention, the problem of low efficiency caused by rigid spatial layout, uneven load and fault diffusion of hotel self-service equipment is solved, full-link collaborative optimization from a physical environment to digital resources is realized, the user experience is improved, and the operation and maintenance cost is reduced.

A computer-implemented method includes: receiving a signed challenge from a public key authenticator of a mobile device registered to a financial account of a user; receiving a transaction request and transaction data associated with the signed challenge; determining that the public key authenticator satisfies a basic integrity requirement; receiving stopgap authenticator data including device security data and one or more of the following: a user personal identifier, a user personal credential, transaction history data of the user, and behavioral biometrics data generated at the user mobile device; comparing the stopgap authenticator data to a hidden profile for the financial account to determine that a matching threshold is satisfied; based on the satisfaction of the matching threshold and of the basic integrity requirement, generating a stopgap authenticator token; and transmitting the stopgap authenticator token and the transaction data for real-time transaction approval.

The invention relates to the technical field of information security, and discloses a handwriting dynamic encryption and electronic signature method based on a national secret algorithm, and the method comprises the steps: obtaining the handwriting data of a user, and carrying out the preprocessing of the data to remove noise and errors; carrying out feature extraction on the preprocessed handwriting data, extracting corresponding track features, speed features and pressure features, and generating a feature hash value of a unique identifier through a cryptographic SM3 hash algorithm; splicing and combining the feature hash value and a user private key, deriving a dynamic key through a national secret SM2 algorithm, and generating an electronic signature by using the dynamic key; an electronic signature is combined with a timestamp to form a structured signature packet, and the signature packet is hierarchically encrypted and stored in a database through a national cryptographic SM4 algorithm. According to the method and the system, the handwritten signature picture, the digital signature technology, the electronic signature technology and the biological recognition and layout file processing technology are fused, so that the safety and the reliability of electronic document signing are improved.

A technique is provided that integrates authentication from a mobile device (e.g., using biometrics, social informational data, questions and answers, and more) to allow login to laptops and desktops while they are disconnected from the Internet using a USB cable connection, Bluetooth or local wifi or any other similar protocol and / or connected to Internet without USB. The technique provides a cloud clearinghouse that ties a person's or entity's mobile device(s) to an identity that's used to authenticate a person (could be the same person) on a laptop, desktop, or similar computer system.

The invention discloses a safety management system based on low-orbit satellite centimeter-level positioning equipment, and relates to the technical field of satellite positioning equipment management, and the system comprises a low-orbit satellite positioning module which employs a phased-array antenna, achieves centimeter-level positioning, and is high in interference resistance; the data transmission module adopts a 5G and satellite link dual mode, and is stable in transmission and low in packet loss rate; the safety monitoring module is used for monitoring in real time and quickly transmitting an alarm by various high-precision sensors; the intelligent analysis module analyzes data through a machine learning algorithm to obtain a report; the monitoring center displays multiple information on a large screen and can process alarms in a grading manner; and the user interaction module is friendly in interaction and safe in authority management through biological recognition. The system is high in positioning precision, stable in data transmission, sensitive in safety monitoring, accurate in intelligent analysis, complete in monitoring center function, convenient in user interaction and safe in authority, effectively improves the multi-scene safety management efficiency, and is wide in application prospect.

An ambient listening system, includes: an ambient device configure to listen to a conversation between a customer and a sales agent regarding at least one of a desired service and a desired product, and generate an audio stream of the conversation and a unique identifier for the customer; a voice biometrics service module configure to perform at least one of i) identification of the customer based on the audio stream, and ii) voiceprint enrollment of the customer's voice based on the audio stream and the unique identifier for the customer; a business logic module configured to generate at least one business logic output based on at least one of customer's intent and entity extracted from the audio stream; and an automation platform configured to automate, based on the business logic output, the sales agent's workflow related to at least one of customer record, the desired service and the desired product.

A technique is provided that integrates authentication from a mobile device (e.g., using biometrics, social informational data, questions and answers, and more) to allow login to laptops and desktops while they are disconnected from the Internet using a USB cable connection, Bluetooth or local wifi or any other similar protocol and / or connected to Internet without USB. The technique provides a cloud clearinghouse that ties a person's or entity's mobile device(s) to an identity that's used to authenticate a person (could be the same person) on a laptop, desktop, or similar computer system.

The invention provides a method for evaluating cell population heterogeneity based on an energy index, and belongs to the technical field of biological recognition, and the method comprises the following steps: S1, preprocessing single cell transcriptome data; s2, carrying out feature selection on the preprocessed data, and defining a cell state; s3, constructing a gene local network based on a Hupfield neural network; s4, calculating gene local network energy and cell energy, and carrying out normalization processing on the cell energy; s5, introducing a Gaussian mixture model, identifying the potential state of the cells by analyzing the energy distribution difference of the cells, and clustering the cells in the same differentiation potential state; and step S6, evaluating the heterogeneity of the cell population. By adopting the method for evaluating the heterogeneity of the cell population based on the energy index, the complexity and the difference in the cell population can be disclosed more accurately.

The invention relates to an intelligent security management system for a sewage pumping station, which relates to the technical field of intelligent security management and comprises a front-end sensing layer, a transmission layer, a platform layer and an application layer, the front-end sensing layer is composed of a high-definition network camera deployed on the enclosure wall of the pump station and the top of a process area, a face recognition terminal installed on the side wall of a doorframe of an entrance and exit and a license plate recognition unit, the camera is powered by a POE, and the access controller is connected with a biological recognition card reader through an RS485 bus. Omnibearing monitoring and accurate identity verification of a pump station area are achieved through a high-definition network camera of the front-end sensing layer and the biological recognition technology, illegal invasion is effectively prevented, the transmission layer is combined with the wireless Mesh network through the industrial Ethernet, the stability and the anti-interference capacity of data transmission are ensured, and the service life of the transmission layer is prolonged. And the smoothness of a monitoring picture can be kept in a complex electromagnetic environment, and rapid fusion of multi-source data and efficient processing of service logic are realized.

The invention discloses a project site multi-modal data acquisition system based on AI (Artificial Intelligence) equipment, which efficiently accesses project site multi-modal data through a data acquisition module by utilizing a mobile internet, the equipment and an AI biological recognition technology, improves data comprehensiveness, accuracy and real-time performance, and improves the project site multi-modal data acquisition efficiency. The software and hardware matching scheme module is based on a process driving mechanism of a template, different project requirements are flexibly adapted, the management efficiency and normalization are improved, the Internet of Things equipment management module realizes intelligent monitoring and management and enhances safety and convenience, the electronic data storage module provides a mobile cooperation terminal, project labor service data signing is completed online in the whole process, and the management efficiency is improved. The work authenticity and efficiency auditing module forms an auditing mechanism, the real situation and efficiency level of field work are accurately reflected, problems can be found in time, project quality and efficiency are improved, and intelligentization, standardization and high efficiency of field labor service management are achieved.

The invention provides a rearview mirror adjusting method and system and an automobile. The rearview mirror adjusting method comprises the steps that target sensing data are obtained in real time; wherein the target sensing data at least comprises a vehicle attitude angle, an obstacle distance, eye movement data of a driver and a sitting posture pressure thermodynamic diagram; then obtaining a dynamic eye point height based on the sitting posture pressure thermodynamic diagram and the eye movement data, obtaining an environment compensation amount according to the vehicle attitude angle, and obtaining an initial adjustment angle based on the dynamic eye point height and the environment compensation amount; and obtaining a first compensation amount and a second compensation amount based on the eye movement data, the sitting posture pressure thermodynamic diagram, the vehicle attitude angle and the obstacle distance, obtaining a final adjustment angle of the current rearview mirror according to the initial adjustment angle and the two compensation amounts, and performing adjustment. According to the method, a personalized rearview mirror adjusting scheme is provided by collecting the dynamic biological characteristics of the driver, so that the driving comfort and safety are improved; and meanwhile, dynamic compensation can be carried out based on vehicle and environment data, so that the driving safety is further guaranteed.

Disclosed are systems and methods that provide a novel cross-session authentication framework that enables secure local and / or network sessions to be effectuated via biometric tracking via a wearable device (e.g., smart ring). In some implementations, when a user wearing a smart ring is authenticated with a first secure resource (e.g., a computer system such as a smart phone application associated with the smart ring), such authentication can be maintained and leveraged to access other resources that are separately being securely held. The smart ring, when properly worn, can monitor biometrics (e.g., vital signs) of a user, and based therefrom, determine if and / or when the smart ring is removed / manipulated from the user's finder. Until the smart ring is removed, the smart ring's confirmation of being worn by the user can be leveraged as an identification token that can enable the user access to other securely held information.

The invention provides a gait camouflage method for resisting biological recognition. The gait camouflage method comprises the following steps: wearing a gait camouflage device on a key part of a user; the method comprises the following steps: acquiring acceleration characteristics, angular velocity characteristics and magnetic field signal data of a user through a gait camouflage device, fusing the acceleration characteristics, the angular velocity characteristics and the magnetic field signal data to form a super vector, and performing time sequence coding to obtain a sample super vector of a current time slice; calculating the Hamming distance between the sample supervector and the reference supervector in the subspace, and taking the Hamming distance as a classification basis; optimizing an electrical stimulation intervention strategy based on the gait recognition model; through functional electrical stimulation regulation and control of specific lower limb muscles, joint motion angles are influenced, space-time and kinematics parameters of gaits are changed, and thus gait characteristics with a camouflage effect are realized. Electrical stimulation is applied to lower limb muscles according to different gait stages, so that human gait features are effectively changed, and the gait camouflage target is achieved; by analyzing gait parameter differences under different camera visual angles, an intervention mode of maximizing gait changes is selected, and gait features can be effectively camouflaged.

This disclosure details image and audio signal processing methods and associated equipment to robustly encode transaction parameters in rendered displays, printed objects and audio. It also details corresponding decoding methods and equipment to recover these parameters. Further, it details object authentication processing and equipment to validate a transaction for an object, employing a trust network protocol for maintaining a trusted transaction history of the object. Various alternative forms of this technology are described.

The invention discloses a financial user identity recognition method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence and biological recognition or other related fields, and the method comprises the steps that a first image and a second image of a target financial user are obtained, the first image is a user whole body image collected by a target teller machine, and the second image is a user whole body image collected by a target teller machine; the second image is a certificate image uploaded by the target financial user through a target teller machine; positioning a face region of the target financial user in the first image by adopting a target detection algorithm, and extracting a face feature vector in the face region; performing text recognition processing on the second image to obtain an identity information text of the target financial user; and performing associated identity recognition based on the facial feature vector and the identity information text to obtain a recognition result, and returning the recognition result to the target teller machine for financial service processing. Through the method and the device, the technical problem of low user identity recognition accuracy of a financial institution in related technologies is solved.

The invention discloses a fingerprint verification method and device based on double-finger fingerprint image acquisition, and relates to the technical field of biological recognition, and the method comprises the following steps: deploying a light sensor, carrying out the primary adjustment of an illumination light source, collecting the light intensity data of the fingerprint surface when two fingers press through the light sensor, and obtaining a fingerprint verification result according to the light intensity data; the method comprises the following steps: deploying a light sensor, constructing a closed-loop adjustment mechanism of primary adjustment, secondary adjustment and quality feedback, acquiring light intensity data of the fingerprint surfaces of the two fingers in real time, judging an abnormal condition, performing secondary adjustment on an illumination light source, acquiring fingerprint images of the two fingers, and judging whether the quality of the fingerprint images reaches the standard or not. According to the two-finger fingerprint verification method, the abnormity of insufficient light source intensity or improper angle is pointedly corrected through secondary adjustment, and the image quality evaluation standard combining the edge sharpness and the effective area proportion provides reliable data support for two-finger fingerprint verification, and the fingerprint verification accuracy and the actual application effect are improved.

A method for authorizing access to one or more secured computer resources includes obfuscating a reference biometric vector into an obfuscated reference biometric vector using a similarity-preserving obfuscation. An authentication biometric vector is obfuscated into an obfuscated authentication biometric vector using the similarity-preserving obfuscation. A similarity of the obfuscated authentication biometric vector and the obfuscated reference biometric vector is tested. Based on the similarity being within an authentication threshold, access to the one or more secured computer resources is authorized.

The present disclosure provides an electronic device (100) for handling an anomaly detection. The electronic device includes a data integration engine (120) obtaining a user-specific data from a plurality of sources. Further, the electronic device includes an LLM engine (125) utilizing an LLM technique and a natural language processing framework to process and analyse textual interactions included in the user-specific data. The LLM technique extracts linguistic cues and patterns from the user-specific data and creates a behavioural biometrics profile for each user from a plurality of users. Further, electronic device includes a contextual understanding engine (130) providing contextual understanding of user behaviour by considering semantics and sentiment of textual interactions and voice data included in the user-specific data using LLM technique. Further, the electronic device includes an anomaly detection engine (135) triggering anomaly detection using LLM technique by comparing the user behaviour with the collected user- specific data.

The invention relates to the technical field of Internet of Things, and discloses a pricing method, device and equipment and a storage medium, and the method comprises the steps: capturing the biological characteristics of a user through a camera of disk binding equipment, or scanning the identity identification code of the user, obtaining the identity information of the user according to the biological characteristics or the identity identification code of the user, and transmitting the information to the disk binding equipment; the method comprises the following steps: acquiring carrier information through a carrier identification code, establishing a binding relationship between a carrier and a user according to the carrier information and user identity information, monitoring weight change of the carrier based on the binding relationship, identifying an article image on the carrier, and generating a pricing order according to at least one of the weight change and the article image. According to the method, the carrier information is acquired through the carrier identification code and is bound with the user identity information, so that accurate association of the carrier and the user is realized, the pricing order is generated based on the weight change and the image feature, different scenes can be flexibly coped, the pricing accuracy and efficiency are improved, and possible errors caused by manual pricing are effectively avoided.

The invention discloses a multi-mode elderly-friendly interaction system and method based on dynamic biological recognition. The system comprises a user feature recognition and mode activation unit, a dynamic interaction guide system and a continuous learning optimization module. The user feature recognition and mode activation unit comprises a camera acquisition module and an age recognition model; the dynamic interactive guidance system comprises a visual guidance subsystem, a voice enhancement subsystem and a touch fault-tolerant subsystem. Through a technical closed loop of'biological recognition-intelligent guidance-sustained evolution ', the crossing of the old-age adaptation technology from passive adaptation to active service is realized, and the problems of'single old-age adaptation mode', 'lost operation ', 'high false touch rate' and'incapability of intelligent backtracking 'in the old-age adaptation process of the central control system are solved.

The present invention is the method and system of using biometrics in consumer credit bureau identity matching. The matching function connects a cryptographic template (CT) to a record of information that we call a consumer credit bureau. This invention ensures accuracy and validity of the matching and results in accurate data transaction processing. An advantage of the present invention is the use of CTs as a part of the consumer reporting match process. Introducing the use of biometrics shifts the reliance on traditional personally identifiable information (PII) to attributes that are a physical / integral part of the person. This moves us away from relying on data elements that are not attached to a person and results in improved accuracy of matching. The improved accuracy of matching serves to decrease loss due to failed or fraudulent transactions.

An information processing apparatus in the present invention includes: an acquisition unit that acquires a first biometrics information group including biometrics information on a first person detected from a first image captured in a first area from a registered biometrics information group including biometrics information on a plurality of registrants; and a matching unit that matches biometrics information on a second person detected from a second image captured in a second area that is different from the first area against biometrics information included in the first biometrics information group.