196 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.

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 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.

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.

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.

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.

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.

The present invention provides a full-process intelligent management and control system and method for substation maintenance based on a cloud platform, in the field of smart grid operation and maintenance technology, the system includes: an acquisition layer, a data layer, a management layer, an information layer and a presentation layer; the acquisition layer includes a scheme entry module, an image acquisition module, a positioning module and an electromagnetic fingerprint acquisition module, which are used to build a digital twin maintenance template and collect multi-source data; the data layer includes an intelligent image review module, a multi-source positioning compensation module and an electromagnetic fingerprint matching module, which are used to realize the fusion analysis and error compensation of multi-source data; the management layer includes a dynamic authority control module and a positioning status decision module, which are used to allocate equipment operation permissions based on biometrics and electromagnetic safety parameters; the information layer includes a dynamic path planning module and an evaluation alarm module, which are used to generate an optimal operation path and trigger multi-level safety alarms; the presentation layer realizes visual interaction and alarm prompts through a terminal interface.

The invention discloses a panda individual identification feature extraction method and system based on image processing, and relates to the technical field of biological recognition. The method comprises the following steps: firstly, acquiring an original infrared image file set of a to-be-identified panda, extracting the original image file set of the to-be-identified panda from the original infrared image file set, then carrying out gray processing on the original image file set, and respectively acquiring an orbit original image set and a shoulder strap original image set of the to-be-identified panda; processing the original orbit image through a least square ellipse fitting method, and obtaining orbit feature parameters of the giant panda to be identified; and finally, according to the shoulder strap original image set, obtaining shoulder strap feature parameters of the to-be-identified panda. According to the method, the accuracy of the original image file is improved through the temperature difference between the body temperature of the panda and the environment temperature, the eye socket parameters of the panda are extracted, meanwhile, the shoulder strap pattern with larger individual difference is extracted, and therefore accurate identification of the panda individual is achieved through the combination of the eye socket features and the shoulder strap features, and the panda identification accuracy is improved.

We provide a system that protects personal privacy by preventing infringement of portrait rights and damage caused by being photographed in photos due to unauthorized posting on social media. Solution: Utilizing multiple biometric identifiers, including the user's facial image, 3D body scan, clothing, voice, and movement analysis, posts on social media are constantly monitored. When a reflection is detected, a notification and deletion request is automatically sent. The system is comprised of a composite module that performs monitoring, detection, notification, request, and billing, and detection accuracy is continuously improved using AI. It has a flexible monitoring system according to billing levels and an automatic linking function with social media operators. [Effects] High-precision detection and a sustainable monitoring model will enable the protection of individuals' portrait and privacy rights, as well as the prevention of digital tattoo formation.

The technology disclosed teaches performing biometric app free authentication or authorization of a user to access a web-based application, with the user interacting with a workstation browser running on a workstation to access the web-based application using built-in resources of a smart / mobile device. A web application uses methods to authenticate and authorize users before the users are permitted to access the application. A demand exists for improving the security and ease of use of authentication and access management. Access management and authentication of users has evolved to more than just entering a username and password. Multi-factor authentication (MFA) is common. The numerous paths involved in authentication use numerous forms of identification of users during the authentication journey. An opportunity arises to combine paths used for non-standard circumstances with device codes and biometrics for users to log into web applications conveniently and securely without installing another app for authentication and authorization.

A digital physiological certificate (P-cert) for securing data is disclosed. The certificate comprises a digital file including an identity-based chain of trust of an owner; and a physiological based chain of trust of the owner. The physiological based chain of trust includes an owner's name; an owner's physiological based public key; a publisher's name of the bioauthentication; and a publisher's signature. Other embodiments using the P-Cert are disclosed.

A method, system, and digital recording medium create one-time-use digital signing and encryption keys with a computing device combining multifactor, typically four authentication factors, through use of a remote authentication system (RAS) to providing cryptographic proof with very-high confidence that a document was signed and / or encrypted by the known user and not someone posing as said user. A device-unique identity token cryptographically bound to the user's computing device is the first factor, a password known only to the user is the second, cryptographic signatures generated from the user's biometrics is the third, and a random challenge generated by the RAS is the fourth. The user's computing device captures the user's input and creates a cryptographic string that is sent to the RAS for authentication.

The invention relates to the technical field of biological recognition and industrial control, and discloses an intelligent console identity verification method based on face recognition, which comprises the following steps: step 1, detecting candidate persons in a preset verification area through a millimeter wave radar; 2, responding to the detected candidate member, starting a near-infrared camera, collecting an eye circumference area image of the candidate member, and synchronously detecting the micro-motion feature of the candidate member by using the millimeter wave radar; and step 3, processing the collected eye circumference area image, performing local identity comparison, performing multi-channel living body detection in combination with the detected micro-motion characteristics, and granting an operation authority when the identity comparison is authorized and the living body detection is passed. A near-infrared camera is combined with a periocular feature comparison scheme, stable recognition under complex illumination and face shielding is achieved, and compared with a traditional visible light recognition scheme, the problem of verification failure caused by hard light, dark light and mask shielding is solved.

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.

The invention relates to the technical field of biological recognition, in particular to a multi-scene-oriented dynamic voiceprint recognition updating method, which comprises the following steps: synchronously acquiring voice signals through a 16-channel MEMS microphone array and a throat three-axis acceleration sensor, and constructing a three-dimensional data set containing acoustic scene fingerprints, semantic contexts and emotional characteristics; extracting features by adopting a scene adaptive dual-mode processing architecture, and extracting semantic features and emotional state coding vectors to form a multi-dimensional feature set; based on the multi-dimensional feature set, calculating a matching degree by using a Gaussian mixture model, monitoring a scene mutation index, and triggering an online clustering reconstruction mechanism to optimize a feature weight; deploying a three-level pipeline architecture for real-time processing; and generating a scene adaptation factor according to the MFCC-PLP mixed feature matrix and the environmental parameters to perform multi-feature joint matching. According to the invention, the adaptability of voiceprint recognition in a complex scene can be improved.

The invention discloses a speaker recognition feature extraction method and system based on self-supervised multi-task learning, and belongs to the technical field of biological recognition. In order to solve the problems that the cost is high when a data set with a label is manufactured, and the specific speaker information is difficult to judge under the condition of no supervision information prompt because a voice signal contains various kinds of complex information and also has information of a special hierarchical structure. According to the method, a multi-task learning encoder is adopted to extract a feature sequence, and the feature sequence is used for speaker identification; in the encoder training process, feature sequences corresponding to audios in a training set are simultaneously sent to a plurality of processing tasks for processing, and the processing tasks comprise an original waveform task, a logarithmic power spectrum task, a filter bank feature task and a Mel-frequency cepstrum coefficient task. And a local information LIM identity prediction task and a global information GIM identity prediction task. And performing back propagation by using the loss average value of all the tasks to complete training.