152 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 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.

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 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 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 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.

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 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, can be applied to emotion recognition and psychological medical scenes, and discloses an emotion analysis method, device, equipment and medium based on intelligent ownership, comprising: collecting multi-modal data of a target user, the multi-modal data comprising physiological signal data and behavioral performance data; performing quantization processing on the multi-modal data to obtain a multi-modal feature vector; fusing the multi-modal feature vectors to obtain a fusion vector; and inputting the fusion vector into a preset model to enable the preset model to output the emotion category of the target user. The emotion recognition accuracy can be improved.

The invention discloses a dynamic identity monitoring system based on voiceprint and thermal imaging data fusion, and relates to the technical field of information security and biological recognition, the system can judge whether a user is in an abnormal state such as stress or tension by collecting a user face thermal imaging image and inputting the user face thermal imaging image into a pre-trained deep neural network model; meanwhile, the system extracts voiceprint features of the user, compares the voiceprint features with a pre-registered template, and determines whether the user sounds in real time currently in combination with the matching relationship between the thermal disturbance of the lip region and the sound generation time point; by combining voiceprint recognition and facial thermal imaging analysis, whether the identity of an operator is matched with a voiceprint template or not is verified, whether the operator is a current real sounder or not and whether the operator is in abnormal states such as stress and tension or not is judged in real time, and therefore precise, safe and dynamic control over sensitive operation such as decryption is achieved; and the risks of sound recording pretending and forced decryption are effectively prevented.

The invention provides a user authentication method and device based on a block chain, electronic equipment, a medium and a program product, and can be applied to the technical field of block chain modules and the technical field of biological recognition. The method comprises the following steps: initiating a transaction request in response to a first authentication device, and binding at least one second authentication device based on the transaction request; sending authentication information to the second authentication equipment by using the first authentication equipment, triggering the first authentication equipment and the second authentication equipment to execute authentication operation, and obtaining authentication operation information; performing time-space consistency verification on the first authentication device and the second authentication device based on the authentication operation information; and in response to verification passing, user authentication is completed, a joint signature is generated based on the authentication operation information, and the joint signature and transaction summary information are written into the block chain.

In one embodiment, a method for authenticating a user with an electronic device is disclosed. The method incudes receiving digital sensor data from a motion sensor over a signal acquisition time period; deleting a beginning portion of the digital sensor data prior to the signal acquisition time period; suppressing signal components in the data associated with voluntary movement of the user; signal processing the suppressed digital sensor data to extract signal features representing neuro muscular tone of the user; tabulating the extracted signal features over periods of time into a feature vector table; executing a predictive model with the feature vector table; generating a numerical degree of matching level based on the feature vector table and the user parameter set; and making a determination to either authorize the user or not based on the numerical degree of matching level. The predictive model is trained by a user parameter set.

According to one embodiment, a method, computer system, and computer program product for privacy-enhanced, biometrics-based authentication is provided. The embodiment may include capturing credential information on a credential medium and biometric information for a user, each provided by the user, by one or more information capture devices. The embodiment may also include identifying a hash stored on the credential medium based on the captured credential information. The embodiment may further include calculating, locally, a hash of the biometric information using a preconfigured hashing algorithm. The embodiment may also include, in response to the identified hash matching the calculated hash, authenticating the user.

The invention particularly relates to a hospital triage number calling system based on face recognition, and relates to the technical field of medical informatization and biological recognition. And the priority calculation module is used for receiving a patient examination return signal of the non-inductive sign-in and verification module, calling the departure timestamp and the average diagnosis duration of the doctor from the data interconnection and system management module in response to the signal, and calculating a priority weight value of the patient. According to the method, the waiting loss of the patient caused by examination is quantified, and a scenarized insertion strategy is combined, so that the fairness and efficiency of queue management are remarkably improved; according to the intelligent queue recalculation algorithm, firstly, lost waiting time is calculated based on the departure timestamp of a patient and the average diagnosis duration of a doctor, then the lost waiting time is converted into an equivalent waiting order, finally, a priority weight value is generated in combination with an initial priority coefficient, and accurate queue adjustment with the more serious waiting loss, the higher priority and the more sufficient compensation is achieved.

The invention relates to the technical field of server data caching, in particular to a server data caching acceleration system based on edge computing and a control method, and the system comprises a cloud server which is used for storing total to-be-accessed data; the at least one edge server is deployed on a network edge side close to the data access terminal; the at least one data access terminal is used for initiating a data access request to the edge server; the edge server is provided with a cache unit, a prediction unit and a synchronization unit; wherein the cache unit is used for storing a subset of to-be-accessed data prefetched from a cloud server; the prediction unit is used for predicting the future access probability based on the historical access record of the to-be-accessed data; and the synchronization unit is used for synchronizing the prediction result of the prediction unit. According to the method, under the condition that edge storage resources are extremely limited, the core contradiction of biological recognition in the aspects of real-time performance, reliability and efficiency is successfully solved, and a key technical support is provided for intelligent traffic non-inductive passage.

A controller may obtain, from one or more sensors of an operator control of a work machine, sensor data collected from at least one hand of an operator using the operator control. The controller may determine, based on the sensor data, at least one of a physiological profile of the operator or an amount of time that the operator releases the operator control. The controller may cause, based on the at least one of the physiological profile of the operator or the amount of time that the operator releases the operator control, a limitation on a capability of a work implement of the work machine.

The technology provides a multi-body earpiece suitable for use as an in-ear sensor system, which can be used for biometrics or a human-computer interface. The multi-body earpiece includes two body elements connected together by a flexure. These components provide at least 3 points of contact along different parts of the outer ear, in which the flexure is tethered to the two bodies and arranged to lock them in place during wear. In addition to having stability from moving while minimizing sound occlusion, this arrangement enables any electrodes for the on-board sensor(s) to remain in contact with the skin of the ear and provide as many contact points in desired areas as the electronics dictate for the signals of interest.

A method of providing a transcription of an electronic communication includes determining a language spoken in the electronic communication, differentiating among participants in the electronic communication, identifying a hierarchy of topics discussed in the electronic communication, and providing a display of the hierarchy of topics.