929 results about "Identity recognition" patented technology

The invention discloses a door lock collaborative identity recognition method and system, and the method comprises the steps: obtaining a locally stored MAC-face binding relation table according to face recognition verification completed by a resident through an intelligent door lock; according to the moving path of the resident from the floor entrance to the home door lock, identity recognition is completed through cooperation of multicast communication and the home door lock, an identity confirmation result is obtained, and a directional multicast network is constructed; according to a leaving event that a resident opens a door lock from a room, triggering a passing door lock to collect leaving person information, and obtaining a leaving person identity confirmation result; and selecting to send a unicast or multicast confirmation message by the own door lock according to the completion degree of identity confirmation of the leaving person, and triggering the passing door lock to send an IGMP leaving message to the router to obtain a simplified multicast forwarding table. According to the embodiment of the invention, seamless identity cooperation of the whole process from home returning to home leaving can be realized, and the automation degree of home security and protection and the user experience are improved.

The invention provides a driving authority management method and device based on biological feature verification and a medium, and belongs to the technical field of vehicles. The method comprises the steps of collecting facial features, voiceprint data and driving behavior data by detecting a starting operation of a current driver; the identity of the current driver is recognized by using a multi-modal biological recognition algorithm, and the accuracy and anti-counterfeiting capability of identity verification are improved by adopting a bimodal fusion scheme of face recognition and voiceprint recognition; when it is determined that identity recognition of the current driver succeeds, a driving account is determined to judge whether the driver has the use permission or not, a binding relation of driver identity-account-function permission is established, and accurate matching of the intelligent driving permission and the driver qualification is achieved; the open state of the intelligent driving function is dynamically controlled based on a permission verification result, if the permission exists, the intelligent driving function is automatically prepared, if the permission does not exist, the function is locked, a clear prompt is given, and the safety risk that the intelligent driving function is used before being learned is avoided from the source.

The invention relates to the field of voiceprint recognition and voice transfer, and discloses a real-time voiceprint recognition method and system for multi-user overlapped voices. The method comprises the following steps: acquiring a multi-source audio stream, and carrying out standardization and framing processing to generate a streaming audio frame sequence; based on the sequence, through circular buffering, noise reduction, endpoint detection and overlap detection model processing, obtaining an overlap interval label; task assembly, speaker separation, track numbering, voiceprint feature extraction and identity judgment are carried out, and a track identity binding structure is generated; and finally, voice transcription, fragment splicing and conflict cutting are executed, and the voiceprint template library is updated. According to the method, real-time separation and identity recognition of overlapped voices of multiple persons are realized, and the accuracy and robustness of voiceprint recognition in a complex scene are effectively improved.

The invention provides an automatic production station working hour statistical system and method based on near field communication, the system comprises five layers of architectures including an identity recognition layer, a data acquisition layer, an edge computing layer, a cloud service layer and a terminal interaction layer, and the method completes the steps of initialization, NFC interaction triggering, multi-mode mistaken touch prevention verification and the like by means of the system. NFC, a sensor and a face recognition technology are fused, core modules such as task intelligent matching, energy consumption-man-hour linkage accounting and cross-station collaborative man-hour splitting are designed, and the system further has the functions of offline intelligent caching and multi-dimensional man-hour analysis. According to the invention, automation and precision of man-hour statistics are realized, single-station standardization and multi-station collaborative production scenes are adapted, data are ensured to be reliable and free of loss, deep fusion of production data is realized, enterprise hardware and management costs are reduced, and the intelligent manufacturing fine management level is improved.

The invention relates to the technical field of magnetic attraction control, and discloses a multi-head shaver linkage control method and system based on magnetic attraction contacts.The method is based on at least two single-head shavers with controllers, shaving modules and energy storage modules, and electric connection is achieved through the magnetic attraction contacts; the first controller sends an identity recognition instruction after detecting the contact connection state, receives and matches identity information of the second controller, and establishes a control link if matching succeeds; the working state is synchronized when the link is established, the abnormal state is unified as the running state, any subsequent controller sends a cooperation instruction through the link after obtaining an operation instruction, and the other controllers execute synchronously. According to the method, the problems that a traditional single shaver is insufficient in scene adaptation and a multi-shaver-head product is tedious in operation are solved, flexible combination and separation of single-head units are achieved, the requirements for portable storage and efficient shaving are met, and the operation convenience and the intelligent level are improved.

The invention discloses a livestock identity recognition method and system based on an unmanned aerial vehicle, and relates to the technical field of livestock identity recognition, and the method comprises the steps: constructing an identity information database which comprises the electronic ear tag IDs of all target livestock individuals in a pasture, a visible light feature image, an infrared thermal imaging contour template and a historical motion behavior sequence in a cloud server; initialization of an unmanned aerial vehicle system carrying a visible light camera, an infrared thermal imager, an RFID reader and an edge calculation module is completed, and communication connection between the unmanned aerial vehicle system and a ground control station and between the unmanned aerial vehicle system and a cloud server is established; controlling the unmanned aerial vehicle to enter an inspection area, monitoring a ground target through a visible light camera, synchronously acquiring a visible light image, an infrared thermal image and a radio frequency response signal of a target individual when the livestock is detected to enter an effective identification range, and performing timestamp alignment on the three types of data; a first visual feature vector is extracted from the visible light image and a visual confidence score is generated.

The invention discloses a sheep weight and size measuring system and method, and relates to the technical field of animal husbandry breeding intelligent management. Firstly, the invention discloses a sheep weight and body size measuring system, which comprises a PLC (Programmable Logic Controller), a computer, a channel module, a blocking module, an identity recognition module, an entrance module, an image acquisition module, a weighing module and a grouping module, wherein the PLC is in communication connection with the computer. Secondly, the invention discloses a method for measuring the weight and the body size of the sheep, and the method comprises the following steps: S1, driving the sheep into a guide channel at the entrance of the system, and arranging a queue; and S2, a worker starts a blocking module to communicate the recognition channel with the guide channel, and after the first sheep enters the recognition channel, the blocking module is started again to block the space between the recognition channel and the guide channel and block the next sheep. The device has the advantages of automation, high precision and non-contact, so that personal errors and sheep stress are reduced, and the working efficiency is improved.

The invention discloses a reliable recognition method and system for door lock cooperation, and the method comprises the steps: building a binding relation between a mobile phone MAC address and a face feature vector according to a door opening event of the first face recognition of a resident, and constructing a directional multicast network based on the MAC address; according to the movement of the resident on the home returning path, a recognition request is sent to a directional multicast network through a door lock by collecting an MAC list and capturing a human face, and a resident identity recognition result is obtained; according to an identification request that a subsequent door lock encounters face shielding, a data complementation mechanism of a previous door lock is triggered, and service takeover is realized through an IGMP leaving message, so that a complete identity identification result is obtained; and according to the resident leaving trigger event, a leaving message is transmitted through a directional multicast network, the identity of a leaving person is confirmed through a passing door lock, and an in-home duration statistical result is obtained. According to the embodiment of the invention, the identity recognition is high in reliability, the single-point fault can be complemented, and the value-added service is precise.

The invention relates to the technical field of identity recognition, in particular to an identity recognition method and system based on multi-modal data. The invention provides an identity recognition method based on multi-modal data, which adopts a user use dimension, a user interaction dimension and a user voiceprint dimension, thoroughly avoids legal compliance risks caused by a face recognition technology, constructs a non-biological recognition system based on sensor motion trail capture, touch screen interaction behavior modeling and voiceprint feature extraction, and improves the recognition efficiency. Therefore, all the feature data cannot restore the original biological attributes, and the hidden danger of privacy litigation is eliminated from the source. Meanwhile, depending on a three-dimensional dynamic fusion mechanism of the sensor, the touch screen and the voiceprint, full-scene precision jump, compensation of the dark light defect by the motion inertia of the sensor capture equipment, noise interference resistance by a touch screen track modeling fine operation habit and physiological uniqueness abstract representation of the voiceprint spectrum are realized, and the three forms a complementary enhancement effect through dynamic weights.

The invention belongs to the technical field of granary access control, and particularly relates to an intelligent granary access control system which comprises an environment sensing module, an identity recognition module, a processing control module and an execution and feedback module. The environment sensing module is used for collecting environment parameter data at the entrance of the granary in real time and comprises a phosphine sensor, an oxygen sensor and a carbon dioxide sensor; according to the invention, by fusing the technical characteristics of the hydrogen phosphide sensor, the oxygen sensor and the carbon dioxide sensor, the environmental safety is comprehensively evaluated, and compared with the dependence of a single sensor, the accuracy and reliability of environmental state judgment are remarkably improved, and the occurrence of false alarms and missing alarms is effectively prevented. Due to the fact that a control logic process of'absolute priority of environmental safety 'is adopted, the technical characteristic ensures that personnel safety is put at the first place under any condition, which is a core guarantee of high safety of the system, and the effect of the system is directly reflected as protection of life safety.

The invention provides a multi-mode passenger identity recognition and binding method and device and a vehicle, and the method comprises the steps: firstly carrying out the recognition of the identity of a passenger outside a vehicle based on the sensing data of the passenger outside the vehicle collected by different sensors outside the vehicle and a local database in which the information of the passenger is stored; then, in-vehicle passenger identity recognition is carried out based on in-vehicle passenger sensing data collected by different in-vehicle sensors, an out-vehicle passenger identity recognition result and a local database, and then the passengers whose identities are recognized are bound with the vehicle based on the in-vehicle passenger identity recognition result; whether the passengers in the vehicle are missed or not is checked based on the in-vehicle passenger sensing data and the binding result, and if the passengers in the vehicle are missed, an alarm for reminding the passengers in the vehicle of missing is given. According to the invention, passenger identity identification efficiency and accuracy can be improved, passenger privacy leakage is prevented, and missing of passengers in a vehicle is avoided.

The invention discloses a metro vehicle supervision manufacturing multi-station data traceability control system, and relates to the technical field of industrial data traceability, and the system comprises a data collection module which obtains the original manufacturing data of each station of metro vehicle manufacturing; the feature extraction module is used for processing the original manufacturing data and generating behavior fingerprint vectors and station features; the identity analysis module is used for carrying out feature matching calculation and outputting a candidate component identity set and matching similarity; the logic verification module is used for carrying out logic consistency verification and determining the identity of the target component; and the traceability control module establishes a mapping relation with the original manufacturing data based on the identity of the target component, generates a unique traceability node, and writes the traceability node into a multi-station traceability data chain. According to the method, the problems of identification failure, data link breakage and affiliation errors caused by station switching or equipment sharing are solved, supervision data continuity and identity recognition accuracy are improved, and reliable support is provided for vehicle full-life-cycle data tracing.

The embodiment of the invention provides an actor recognition method, system and device based on ViT gait analysis and a medium, and belongs to the technical field of gait recognition. The method comprises the following steps: acquiring behavior video data of a target object; performing background subtraction processing on the behavior video data to obtain a binary image of the gait of the target object; inputting the binary image into a feature analysis model, wherein feature analysis is constructed and formed based on Transform; performing attitude feature extraction through a double-path parallel multi-head attention module of the feature analysis model, fitting a feature weight of the attitude feature through a feature average fusion module, and outputting an embedded feature vector; and comparing the embedded feature vector with a preset feature vector, and identifying the identity of the target object according to a comparison result. The embodiment of the invention aims to improve the accuracy of performing actor identity recognition through gaits.

The invention relates to an automatic movie and television video script extraction method based on a multi-modal large model, and belongs to the field of artificial intelligence and video content analysis. Aiming at the problem that an existing automatic speech recognition tool cannot generate a structured script, the method comprises the following steps: firstly, carrying out multi-mode decomposition on an input video, extracting frames by adopting a scene self-adaptive strategy, and establishing sound and picture timestamp alignment mapping; then extracting features through a CLIP-ViT visual feature encoder and a Whisper audio feature encoder, and associating semantics by using a cross-modal attention mechanism; role identity recognition, scene type recognition and action character description are achieved, and finally a script file conforming to the standardization specification is generated and comprises a scene title, a time code mark and a special narrative mark. Compared with a mode of manually dictating marks and an automatic voice recognition tool, the method effectively improves the accuracy and efficiency of movie and television video script extraction.

Systems, computer program products, and methods are described herein for interconnected monitoring of sensitive data across entity infrastructures. Embodiments of the present disclosure are configured to connect to, using a network interface, entity storage devices via a communication network, where each entity storage device of the entity storage devices is associated with an associated entity of a plurality of associated entities, extract identification data of an employee from a first entity storage device of a first entity of the plurality of associated entities, search the entity storage devices for a match to the employee identification data, and transmit, using the network interface and in response to finding one or more matches while searching the entity storage devices, a notification of non-compliance to the first entity indicating the one or more matches for the employee via the communication network.

The invention provides an unmanned cargo automatic handover system based on multi-mode biological recognition. The unmanned cargo automatic handover system comprises a biological recognition device, an identity verification module, a cargo handover control device and a cloud management platform. The biological recognition device integrates a fingerprint recognition module, a face recognition module and an iris recognition module, and high-accuracy identity recognition is ensured by using advanced sensors and algorithms. The identity verification module guarantees the safety of the verification process through real-time comparison and multi-factor verification in combination with dynamic database management. The cargo handover control device automatically controls unlocking and locking of a cargo cabin door, and records, encrypts and stores all handover operation data at the same time. According to the technical scheme, high safety and high efficiency of cargo handover of the logistics vehicle are achieved, the method is suitable for being widely applied to the modern logistics field, the safety and accuracy of the logistics vehicle in the cargo handover process are improved, and automation and traceability of operation are achieved.

The invention relates to the technical field of machine room monitoring, in particular to an intelligent machine room monitoring system and method based on the Internet of Things. According to the method, the visible light and infrared images are fused, so that the detection precision and robustness of the target in a complex environment are improved, and the limitation of single-mode imaging in illumination variation, shielding or extreme environments is effectively overcome. Meanwhile, by combining RFID identity recognition and space-time correlation analysis of a visual track, accurate matching of the personnel and the equipment is realized, the identity recognition accuracy and behavior discrimination reliability of the target personnel, tools or equipment are remarkably improved, and the risk of misinformation and missing report is effectively reduced. According to the invention, localization processing is carried out on the multi-source data through edge calculation, network transmission delay and bandwidth pressure are effectively reduced, and the response speed and stability of the system are improved.

A method for electronic identity verification and management includes receiving a request for verification of identity for a customer from a service provider; requesting consent from the customer to access data from one or more data holders associated with the customer; receiving consent from the customer to access data from the one or more data holders and sending the consent to the one or more data holders; receiving customer data from the one or more data holders; processing the customer data to verify the identity of the customer, identifying one or more online identity sources of the customer and analysing the one or more online identity sources to determine a level of risk associated with the customer identity, and generating a verified compound digital identity for the customer based on the authenticated identity document and the one or more online identity sources of the customer without storing personally identifiable information.

The invention relates to the technical field of smart home, and discloses an identity recognition method, which comprises the following steps: preprocessing original data acquired by a low-resolution radar and an inertial measurement unit, and respectively generating a radar state vector and an inertial measurement state vector; performing matching degree calculation on the radar state vector and the inertial measurement state vector with a pre-constructed identity vector library; when the matching degree calculation result meets a preset cross-modal feature fusion condition, carrying out fusion processing on the radar data features and the inertial measurement data features; and performing user identity recognition based on fusion features obtained through fusion processing. According to the scheme, the accuracy of identity recognition is guaranteed, the strict requirements of a family scene for light weight and low cost are met, and stable and accurate multi-target identity recognition can be achieved in a dynamic family environment by fully utilizing low-resolution radar characteristics. The invention further discloses an identity recognition device and a computer readable storage medium.

The invention provides a personnel passing verification method and system based on space-time rule dynamic matching. The method comprises the following steps: identifying the identity of a passing person to obtain an identity label; acquiring current spatio-temporal information including current time and current position; according to the current spatio-temporal information, dynamic matching is carried out from a preset spatio-temporal rule set, a dynamic permission group is generated, and the rule set comprises a permission group template formed by combining authorization rules of a time dimension and authorization rules of a space dimension; and judging the passing authority according to the identity label and the dynamic authority group and outputting a decision result. The system comprises an identity recognition module, a spatio-temporal information acquisition module, an authority verification and decision module and an execution module which are used for executing the method. The invention relates to the technical field of personnel access verification, and in addition, the invention also relates to the field of Internet, cloud computing and big data service.

The invention discloses a vehicle identity accurate recognition method and system based on multi-modal image fusion, and particularly relates to the field of vehicle identity recognizing.The method comprises the steps that images are collected through visible light and infrared sensors which are synchronously calibrated, and preprocessing is conducted through adaptive filtering, CLAHE enhancement and distortion correction; a feature pyramid network and a channel attention mechanism are utilized to carry out adaptive fusion of multi-modal features, an improved residual convolutional network is combined to extract key features of a vehicle contour, a license plate, a vehicle logo and a vehicle window, a mixed matching algorithm is adopted, a cosine similarity and a weighted Euclidean distance are synthesized to calculate a feature matching degree, and the feature matching degree is calculated. Retrieval is carried out through a local-cloud distributed database; and when the fusion similarity exceeds a preset threshold value, outputting identity information such as a vehicle license plate, a brand model, a registration year and a color.

The invention relates to the technical field of data processing, in particular to an enterprise associated person identity recognition and relation graph construction method and system. The method comprises the following steps: accessing entity data of a person to be identified and enterprise data associated with the entity data from a heterogeneous data source; through a multi-channel candidate recall engine, a candidate person and object entity set with the same name as the to-be-recognized person is retrieved from the relation graph; for each candidate person, calculating a comprehensive similarity score between the candidate person and the person to be identified by using a multi-dimensional evidence weighting and similarity calculation model; according to a comparison result of the comprehensive similarity score and a preset threshold value, judging whether the to-be-recognized person and the candidate person are the same entity or not; if it is judged that the to-be-recognized persons are the same entity, a graph database node merging operation is triggered, the relation associated with the to-be-recognized persons is migrated to existing candidate person nodes, redundant nodes are deleted, and a relation graph is updated; therefore, the problem of figure identity disambiguation can be automatically and intelligently solved with high precision.

The invention provides a footprint image intelligent analysis method and system based on a multi-task network, and the method comprises the steps: carrying out the key point marking and preprocessing of a footprint image, and obtaining a key point multichannel Gaussian thermodynamic diagram; matching the footprint image with the key point multichannel Gaussian thermodynamic diagram, and inputting the footprint image and the key point multichannel Gaussian thermodynamic diagram into a deep multi-task network to generate a footprint analysis diagram; and obtaining individual attribute information based on the footprint analysis graph, and carrying out footprint matching and identity discrimination to complete footprint image intelligent analysis based on the multi-task network. According to the method, high-precision footprint segmentation can be realized, an analytic graph can be generated and attribute inference and identity matching can be completed at the same time, and compared with an existing single-task method, the robustness and generalization are remarkably improved. The system has the advantages of being high in accuracy, high in interpretability and good in practicability, and is suitable for the fields of security evidence obtaining, identity recognition, motion behavior research, medical health monitoring and the like.

1. The name of the design product: electronic ear tag. 2. The use of the design product: tool for livestock identity recognition. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention relates to the field of target feature recognition and unmanned aerial vehicle cluster formation, in particular to an unmanned aerial vehicle cluster using visual recognition beacons, which comprises a plurality of unmanned aerial vehicle sub-clusters. The unmanned aerial vehicle sub-cluster is composed of a central unmanned aerial vehicle and a plurality of auxiliary unmanned aerial vehicles. The auxiliary unmanned aerial vehicles carry visual identification beacons and fly within the visual range of the central unmanned aerial vehicle in a marshalling mode. The central unmanned aerial vehicle uses a visual system to actively detect and identify the visual identification beacons on the auxiliary unmanned aerial vehicles, obtains the position information of the auxiliary unmanned aerial vehicles, completes formation calculation according to task planning, generates a control instruction, and issues the control instruction to the auxiliary unmanned aerial vehicles, thereby achieving the efficient cooperation and agile formation of the cluster. The invention also comprises a method. According to the method, identity recognition, accurate pose calculation and motion state estimation of a large-scale cluster can be realized, rapid and high-agility formation transformation of the cluster is further supported, the method has the advantage of remarkable low detectability, expensive equipment does not need to be additionally arranged, and unification of high performance and low cost is effectively realized.

The described voting system comprises two main components: an online verification device and an offline voting device. The verification device utilises a data interface to communicate with central databases for real-time voter verification, employing biometric sensors to ensure accurate voter identification and prevent duplicate voting. This system enhances security by generating a unique verification code for each verified voter. The offline voting device, designed to be immune to network-based threats, uses this code along with biometric verification to authenticate voters. It features a user interface that employs eye gesture technology, allowing voters to select candidates privately and securely through eye movements, without any visible indication of their choices to onlookers. This setup not only protects the integrity of the vote from cyber threats but also safeguards voter privacy and reduces the potential for voter intimidation, for a free, fair, and secure voting process.

We provide terminals that contribute to improving convenience for users who possess a driver's license. [Solution] The terminal comprises an acquisition control means and an information provision control means. The acquisition control means acquires user identification information that identifies the user who has been issued a driver's license, and transmits the acquired user identification information to a server device that issues certificates related to driving history. By transmitting the user identification information to the server device, the acquisition control means obtains the user's driving history certificate from the server device. The information provision control means provides information based on the acquired driving history certificate.

The embodiment of the invention discloses an inter-system data transmission method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: performing data encryption processing on a local object evaluation information set to obtain an object evaluation encryption information set; performing system identity recognition on the object evaluation information transmission system set to obtain an identity recognition information set; determining a data transmission path set; performing transmission path performance identification on the data transmission path set to obtain a path performance information set; determining a target data transmission path set; performing path dynamic adjustment on the target data transmission path set to obtain an adjusted data transmission path set; carrying out information hybrid transmission on the object evaluation encryption information set, and carrying out transmission congestion control processing on the transmission process; and performing data decryption and storage on the object evaluation transmission encryption information set. According to the embodiment, the interaction performance of data transmission between systems can be improved, the data transmission efficiency is improved, and waste of transmission time and transmission resources is reduced.

The application discloses a kind of based on neural network's acoustic user identification and heartbeat monitoring earphone system and method, the system includes the earphone with microphone, acoustic analog-digital conversion equipment, the back-end service equipment at least includes: data acquisition module is used for acoustic signal transmission and reception;Data processing module is used to obtain preprocessed received signal;Human ear canal feature extraction module is used to extract MFCC feature and ear canal feature based on transfer function;User identity identification module is used to obtain trained neural network model;Heartbeat information extraction module is used to obtain processed phase information;Self-interference elimination module obtains phase signal not containing direct path interference;Heartbeat frequency calculation module is used to obtain heartbeat frequency.The application can reduce the cost of identity recognition and heartbeat monitoring, and robustness, high robustness.

A system and method of verifying the identity of a user or registrant. The user or registrant provides identification information and registration information. The identification information may be a visual representation of an identifying item associated with location information. In some embodiments, the identification information may be a visual representation of a government issued identity. An identification module verifies the identification information and compares the verified identification information to the registration information.