51 results about "Face verification" patented technology

The invention relates to the technical field of face verification, and discloses a face identity verification data processing method based on dynamic feature extraction, which comprises the following steps: acquiring a continuous face video frame sequence and calculating a full-pixel instantaneous velocity vector to generate an original dense optical flow field, selecting rigid region anchor points to calculate a rigid affine transformation matrix and construct a theoretical rigid motion field, performing differential stripping on the theoretical rigid motion field from the original dense optical flow field, and extracting a non-rigid micro-motion residual field; mapping the non-rigid micro-motion residual field to a facial muscle topological grid to generate a time sequence feature tensor, and calculating a geodesic line distance between a covariance matrix of the time sequence feature tensor and a reference dynamic feature in a Riemannian manifold space; when the geodesic distance is smaller than a threshold value, verification is passed, through a rigid-non-rigid orthogonal decomposition mechanism, the special viscoelastic micro-motion and cooperation law of biological soft tissue is captured by utilizing a residual field, and the high-simulation mask is effectively defended.

The invention belongs to the field of block chains, and particularly relates to a cross-chain transaction batch processing method of a block chain. The method comprises the following three core processes: firstly, a grouping device groups cross-chain transactions to generate cross-chain transaction to-be-processed groups, and ensures that the quantity of each group of transactions conforms to the on-chain limitation through balance adjustment; secondly, the aggregator network eliminates a repeated calculation part of a Merkle verification path in the cross-chain transaction group to be processed, constructs an aggregation transaction (ATX) containing the cross-chain transaction group and aggregation proof, and reduces redundant hash calculation; and finally, the light client executes dual verification, firstly verifies the consistency of the ATX aggregation proof and the block header Merkle root submitted by the oracle machine, and then verifies the validity of the Merkle root set submitted by the aggregator network. The face verification time and cost of the cross-chain transaction can be greatly reduced, and the method is suitable for large-scale cross-chain scenes such as decentralized finance and cross-chain payment.

The invention discloses a door lock camera cooperative processing method and system, and the method comprises the steps: generating an identity verification request message according to a doorbell button signal detected by a door lock, and transmitting the identity verification request message to a corridor camera A covering the door lock; according to the identity checking request message, the camera A obtains a face feature vector of a person in front of the door lock, similarity matching is carried out on the face feature vector and a house owner feature vector, if the similarity exceeds a first threshold value, it is judged that verification is passed, and a face verification result is obtained; according to the face verification result, a robot calling instruction is sent to the platform, and the robot is triggered to move to the door lock position; according to a human face image collected after the robot reaches the position of the door lock, if the similarity between the human face image feature and the target human face feature exceeds a second threshold value, unlocking of the door lock is authorized, and the unlocking state is fed back to the platform. According to the embodiment of the invention, efficient, safe and intelligent access control can be realized.

Embodiments of the present application provide an image processing method, device, storage medium and program product. The method synchronously performs face verification and key point regression by using an end-to-end single model, and optimizes the multi-stage processing flow in the related art into integrated operation. The calculation delay and memory occupation are significantly reduced, the consumption of calculation resources is reduced, and the method can be deployed in a mobile device or an embedded system with limited calculation resources. Since the classification task and the regression task share the same feature representation, the model can improve the accuracy of face verification while keeping a small amount of parameters, and effectively reduce the probability of misjudging a non-face area as a face. This double protection mechanism ensures that the key point detection result is output only on the confirmed face image, thereby improving the reliability of subsequent applications.

The utility model discloses a multifunctional verification all-in-one machine which comprises a verification all-in-one machine host and a face verification camera arranged in the center of the front end of the top of the verification all-in-one machine host, a light supplementing lamp is further arranged on the left side of the face verification camera, and an RFID card reading panel is arranged on the right side of the face verification camera. The RFID card reading panel is used for sensing and reading RFID certificate information, a novel health protection device is additionally arranged on the upper side of the center of the rear end of a host of the verification all-in-one machine, the device is controlled by a host control terminal through an electric wire, a large amount of disinfectant can be injected into a liquid storage tank through a liquid adding opening, and when the all-in-one machine is used, the control terminal controls a small booster pump to pressurize the liquid storage tank, so that the liquid storage tank is protected from being damaged. Disinfectant flows to the atomizing nozzles through the plastic conveying pipe, the angles of the two forward atomizing nozzles are flexibly adjusted through the universal bent pipe, the sprayed atomized disinfectant accurately acts on a user, the surface of the body is disinfected and sterilized during identity verification of the user, and the risk of cross infection is reduced.

To provide a system, a face authentication platform and an information processing method capable of improving convenience for a user.SOLUTION: The face authentication platform 10 includes the control unit 12 that functions as the token issuing means 13, the cooperation information updating means 14, and the like by executing a program, the token issuing means 13 issues a token for cooperation and transmits the token for cooperation to the user terminal 20 when receiving cooperation start information from the user terminal 20, and the cooperation information updating means 14 updates the cooperation information stored in the storage unit 18 so as to cooperate with the management server 30 when receiving a cooperation completion notification from the management server 30. The management server 30 includes a control unit 32 that functions as a cooperation completion notification means 34 that transmits a cooperation completion notification to the face authentication platform 10 when the cooperation token is received from the user terminal 20 by executing a program.SELECTED DRAWING: Figure 1

The application discloses a face anti-counterfeiting method and device and a storage medium. The face anti-counterfeiting method comprises the following steps: acquiring a to-be-detected image collected by a 2D monocular camera; acquiring a depth factor corresponding to each pixel coordinate point of the to-be-detected image through a preset face depth model; converting the to-be-detected image into a 3D space information image according to the depth factor and preset camera parameters; judging whether the converted 3D space information image is a plane false face; and if the 3D space information image is not a plane false face, judging whether the to-be-detected image is a three-dimensional false face through a preset three-dimensional anti-counterfeiting model. Thus, the face depth model and the three-dimensional anti-counterfeiting model are used to realize two-dimensional and three-dimensional anti-counterfeiting of the image through the 2D monocular camera. The hardware requirement for the camera is reduced without the action cooperation of the verifier, the face verification efficiency is improved, and the face anti-counterfeiting accuracy is improved.

The invention discloses an intelligent inspection method and system for a machine room and electronic equipment. The method is applied to a server, and comprises the following steps: receiving current position information and face verification data from a mobile terminal; if both the position verification and the identity authentication pass, pushing an inspection task list bound with the target machine room to the mobile terminal; receiving inspection data of the mobile terminal; in response to a patrol check-out request initiated by the mobile terminal, calculating the duration time of the patrol, and executing check-out confirmation after confirming that the duration time meets a preset minimum patrol duration constraint, so as to generate a closed-loop patrol record; accumulating closed-loop inspection records to form a historical inspection data set; extracting associated features according to the historical inspection data set; an inspection scheduling table is generated through a machine learning algorithm; and issuing the inspection scheduling table to a mobile terminal of a corresponding inspector, dynamically updating the associated features, and iteratively optimizing the scheduling model. According to the invention, the authenticity, normalization and result credibility of machine room inspection work can be ensured.

The application relates to a resource transfer method and device, computer equipment and a storage medium. The method can be applied to various scenes such as cloud technology, artificial intelligence and intelligent transportation, and comprises the following steps: receiving position information of a target object reported through a social application; finding a target social object having an intimate social relationship with the target object; when it is determined that the target social object has a resource transfer record at a point of interest corresponding to the position information, querying face verification data of the target object in a local face database of the point of interest; if the face verification data of the target object is not queried, the face verification data of the target object is issued to the local face database; wherein the issued face verification data is used to instruct a resource transfer device of the point of interest to perform resource transfer based on the face verification data and collected face data when the target object performs product interaction at the point of interest. The method can effectively reduce the time consumption of resource transfer by user face brushing.

The invention discloses an intelligent door lock with a face recognition function and a recognition method thereof, and relates to the technical field of intelligent door locks, and the recognition method comprises the following steps: when a trigger event is detected, based on trigger record information associated with the trigger event and historical recognition record information stored in the door lock, calculating a verification session entropy representing access uncertainty; based on the verification session entropy, selecting a corresponding wake-up strategy to execute delayed wake-up and advanced wake-up on the face recognition function, and outputting initial face imaging acquisition parameters; and acquiring continuous face images according to the initial face imaging acquisition parameters, extracting definition evidence, brightness evidence and shielding evidence to form an imaging quality evidence sequence, and calculating an imaging quality evidence drift amount according to the imaging quality evidence sequence. According to the invention, through the calculation step of verifying the session entropy, the face verification process is improved from single recognition result judgment to quantitative analysis of the overall uncertainty of the access session.

The invention discloses a comprehensive management system of an intelligent electric welding machine management cabinet. The comprehensive management system comprises a cabinet body, a control module, an identity verification module, a communication module and a storage module. The control module is electrically connected with the identity verification module, the communication module and the storage module. The identity verification module is used for collecting face information and comparing the face information with a preset permission library; the communication module is used for connecting a cloud server and a user side applet; the control module receives an applet approval instruction through the communication module, controls the cabinet body to be opened and closed in combination with a face verification result, and uploads equipment access records and use state data to a cloud server. According to the invention, full-process automatic management can be realized through software and hardware cooperation, security control is enhanced, identity counterfeiting and violation work are prevented, resource utilization is optimized, equipment reliability and management scientificity are improved, and the problems of low efficiency, poor security, maintenance lag and the like of traditional management are solved.

This specification provides a face authentication method and apparatus. The face authentication method, executed in a verification server, includes: receiving a face authentication request from a face verification app in a terminal device, the request carrying facial information; authenticating the facial information to obtain a face authentication result; generating an authorization code; saving a first correspondence between the authorization code and the face authentication result; sending the generated authorization code to the face verification app, which then sends the authorization code to a third-party app; receiving an authentication result query request from a third-party server; determining whether the authentication result query request carries an authorization code; if so, sending the face authentication result corresponding to the authorization code carried in the authentication result query request to the third-party server, which then sends the face authentication result to the third-party app. This specification embodiment can improve the security of face authentication services.

The invention provides an abnormal asset transfer transaction detection method and device, a storage medium and a program product, and relates to the field of financial science and technology. The abnormal asset transfer transaction detection method comprises the steps of obtaining transaction related data of a target transaction; determining target feature data of a to-be-input transaction risk identification model according to the transaction related data; inputting the target feature data into a transaction risk identification model to carry out abnormal asset transfer risk identification, and obtaining an abnormal asset transfer risk identification result corresponding to the target transaction; if the abnormal asset transfer risk identification result corresponding to the target transaction indicates a low risk, determining that the target transaction is a non-abnormal asset transfer transaction; and if the abnormal asset transfer risk identification result corresponding to the target transaction indicates a high risk, performing face verification and living body detection on a user initiating the target transaction, and judging whether the target transaction is an abnormal asset transfer transaction. According to the invention, the accuracy and flexibility of abnormal asset transfer transaction detection are improved.

This disclosure provides a face verification method, apparatus, device, and computer-readable storage medium, relating to artificial intelligence technology and image processing technology. The solution includes: acquiring original images; extracting facial feature information from the original images using a feature extraction network; inputting the facial feature information into a keypoint recognition network and a liveness detection network, wherein the keypoint recognition network is used to determine keypoint information, and the liveness detection network is used to determine liveness detection information; and determining the face verification result based on the keypoint information and liveness detection information of multiple frames of original images. In the face verification method, apparatus, device, and computer-readable storage medium provided in this application, face detection and keypoint detection share a single set of facial feature information. Therefore, in the face verification process, facial feature information only needs to be extracted once, thereby reducing the data processing volume of the face verification process and improving the face verification speed.

This invention discloses a face verification method and system based on feature vector comparison, belonging to the field of image detection technology. The method includes: receiving images of important individuals uploaded by users, and users establishing verification tasks; performing multimodal feature extraction and fusion on the selected important individual images to generate enhanced individual feature vectors; downloading material copies within the verification time period to a temporary area according to the verification task, using a lightweight face detection network with multi-scale fusion to detect faces frame by frame, simultaneously extracting scene features and encoding them to generate material face feature vectors, fusing them to form a multimodal fusion feature vector; determining a matching threshold according to the material copy type, comparing the material face feature vectors with the enhanced individual feature vectors layer by layer, combining scene features for auxiliary judgment and automatic labeling, and storing the results in the verification task database; deleting materials from the temporary area, generating a task report with a verification code, improving verification accuracy and result security.

The invention relates to a monitoring camera-oriented fuzzy face verification method and a monitoring camera-oriented fuzzy face verification system. The method comprises the following steps of: acquiring a video stream of a monitoring camera; the constructed face verification model comprises an image enhancement layer, a face detection layer, a feature extraction layer and a face verification layer; the face detection layer detects face key points; the image enhancement layer is used for enhancing the face image; the feature extraction layer performs feature extraction by using a three-branch convolutional neural network to obtain a face feature map of each branch; fusing the face feature maps of the branches based on a channel attention mechanism to obtain a fused feature map; the face verification layer calculates similarity; if the similarity is greater than a preset similarity threshold, the face verification is successful; and obtaining a to-be-verified original image and inputting the to-be-verified original image into the trained face verification model to obtain a face verification result.

A face verification method and apparatus is disclosed. The face verification method includes selecting a current verification mode, from among plural verification modes, to be implemented for the verifying of the face, determining one or more recognizers, from among plural recognizers, based on the selected current verification mode, extracting feature information from information of the face using at least one of the determined one or more recognizers, and indicating whether a verification is successful based on the extracted feature information.

The invention discloses a smart store management and control system for an internet bar, and relates to the technical field of identity authentication. The system comprises an image acquisition module used for acquiring continuous multi-frame first face images of a target user through a camera in response to the fact that a target verification mode of the target user is a face verification mode; the sequence construction module is used for performing facial feature detection on each first face image and constructing a facial feature missing sequence of the target user; the facial feature missing sequence comprises first facial features which are severely missing in continuous multiple frames of first facial images; the camera adjusting module is used for adjusting the shooting position of the camera based on each first facial feature in the facial feature missing sequence; and the user control module is used for controlling the entering of the target user through a second face image of the target user acquired by the camera after the shooting position is adjusted. According to the invention, the accuracy of identity recognition can be improved.

The application discloses a kind of wisdom park personnel management method and system, method includes: according to the verification notice containing current authorized personnel face feature vector generated periodically by entrance face verification equipment, filter out the unauthorized face feature vector and its detection time point that do not hit authorized sequence;According to the random timer started after each camera completes local comparison, generate the continuous dynamic number of unique network by multicast declaration and conflict resolution mechanism, obtain the dynamic number allocation result of each camera;According to the camera of dynamic number for 1, trigger multi-round merging process, obtain complete unauthorized face feature sequence and statistical information after multi-round merging by the camera that finally wins;According to the camera of final victory, complete sequence is unicast to entrance face verification equipment, and obtain unauthorized personnel information.Utilize the embodiment of the application, the real-time tracking and statistics of unauthorized personnel can be realized locally, and the intelligent response speed of park security management is improved.

The invention provides an off-line double-recording real-time verification method and device, and the method comprises the steps: preloading and caching a certificate picture, face feature data and a voice recognition model resource, and achieving the incremental updating through a version control mechanism; constructing a dialect adaptive word library, and dynamically expanding a homonym matching library based on salesman answer word frequency analysis and manual quality inspection feedback data; monitoring network signal intensity in a recording process in real time, and when a continuous weak network state is detected, triggering visual early warning and prompting network switching; and carrying out real-time same-frame detection on the recorded picture by adopting a locally deployed face recognition algorithm, judging the identity consistency of the personnel according to a preset similarity threshold, and generating a verification result. Continuous recording and real-time quality inspection of the insurance double-recording process can be realized in a network-free or weak network environment, the influence of network fluctuation on voice broadcast, voice recognition and face verification is effectively reduced, and the fault tolerance and compliance verification efficiency of the system are improved.

The application is suitable for the technical field of image recognition, and provides a face verification method and device for a battery replacement cabinet, the face verification method for the battery replacement cabinet comprising: collecting a to-be-identified face image and constructing a local phase gradient image of the to-be-identified face image; performing receptive field attention aggregation on an initial phase gradient vector field to obtain a current adaptive receptive field feature map; extracting a current pixel-level entropy weight map corresponding to the to-be-identified face image; determining whether the to-be-identified face image is pre-stored face information based on a comprehensive similarity between the current adaptive receptive field feature map corresponding to the to-be-identified face image, the current pixel-level entropy weight map, and a historical adaptive receptive field feature map corresponding to a pre-stored face image and a historical pixel-level entropy weight map. Through optimization of the feature extraction and matching process, the method can realize fast face recognition. In the actual use scenario of the battery replacement cabinet, fast and efficient identity verification can effectively improve the use efficiency of the equipment.

The invention discloses a multi-door-lock cooperative community mutual assistance method and system, and the method comprises the steps: registering mutual assistance identity information to a property management system according to the selection operation of a delegation party user and a delegated party user on respective intelligent door locks, and completing the multicast network registration; generating and sending a delegation request multicast message according to a delegated party user selected by the delegation party user and a service type, and generating a delegation confirmation message according to a user confirmation operation and returning the delegation confirmation message to a door lock of the delegation party; a face verification multicast message is triggered according to the face scanning operation of the entrusting party user on the self-service store door lock, and the entrusting party door lock sends a shopping list to the store door lock after receiving the verification passing message; and according to the face scanning payment operation after the entrusting party user completes shopping, after the entrusting party user confirms, the door lock collects the payment two-dimensional code and sends the payment two-dimensional code to the payment machine to complete payment. According to the embodiment of the invention, the shopping problem of the elderly having difficulty in moving can be solved, the multi-party information interaction efficiency is improved, and convenience and reliability of community mutual assistance are guaranteed.

1. Name of the product in this design: Graphical User Interface for Intelligent Countertops for Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The rear view, left view, right view, top view, and bottom view are omitted. 6. Purpose of the graphical user interface: The product interface of this design is used to display the graphical user interface of the intelligent counter and to enable human-computer interaction. 7. Graphical User Interface: Providing customers with safe and convenient 24 / 7 service, covering over 90% of traditional businesses such as account opening, fund transfer, wealth management, and foreign exchange. The main view displays the main interface. Click the "Password Reset" menu on the main view to enter interface state diagram 1; click the "I have read and agree" button in interface state diagram 1 to enter interface state diagram 2; after inserting your ID card and undergoing system verification, enter interface state diagram 3; after successfully removing your ID card, enter interface state diagram 4; after performing face verification in interface state diagram 4, click the "Confirm and Continue" button to enter interface state diagram 5; after selecting the electronic card medium in interface state diagram 5, enter interface state diagram 6; after selecting a card in interface state diagram 6, click the "Confirm and Continue" button to enter interface state diagram 7; after checking the agreement in interface state diagram 7, enter interface state diagram 8; click the "Confirm and Continue" button in interface state diagram 8 to enter interface state diagram 9; sign in interface state diagram 9 and click the "Confirm and Continue" button to enter interface state diagram 10; after fingerprint verification in interface state diagram 10, click the "Pass" button to enter interface state diagram 11; after setting the password in interface state diagram 11, enter interface state diagram 12, the transaction results page.

This invention relates to the field of facial verification technology and discloses a method for verifying a passport photo and a face, comprising: acquiring environmental parameters and determining whether there is an environmental anomaly based on the environmental parameters; in response to an environmental anomaly, simultaneously acquiring a visible light image and a near-infrared image, and performing optical compensation on the near-infrared image based on camera prior parameters to obtain a first compensated near-infrared image; obtaining a set of facial pixels by skin color segmentation of the visible light image, and sequentially extracting the average brightness of visible light and the median brightness of near-infrared light from the set of facial pixels; labeling each pixel in the set of facial pixels using the median brightness of near-infrared light and the average brightness of visible light to obtain a set of ice crystal connected components; determining the weight of each pixel in the set of ice crystal connected components, and performing compensation on the near-infrared image based on the weight to obtain a second compensated near-infrared image; and performing verification processing on the passport photo using the second compensated near-infrared image and the visible light image.

The invention relates to the technical field of face verification and recognition, in particular to a multi-modal biological recognition intelligent access control security and protection system which comprises a multi-modal recognition integration module, a face recognition matching module, a recognition failure processing module and a secondary acquisition triggering module. Wherein the multi-modal recognition integration module collects a facial image and converts the facial image into a preliminary feature map of a plurality of feature channels, the preliminary feature map is enhanced into a spatial feature map, then the spatial feature map is enhanced to obtain an enhanced feature map, facial feature vectors in the enhanced feature map are extracted, the facial feature vectors are a recognition feature vector and a standard feature vector respectively, and the recognition feature vector and the standard feature vector are used for recognition; constructing a standard feature vector set; the face recognition matching module is used for recognizing the identity of the user, if the identity recognition of the user fails, a secondary acquisition signal is output to the multi-modal recognition integration module, and then recognition is performed again; and if the comparison times are greater than the upper limit value of the comparison times, outputting an alarm signal.

The application discloses a kind of secondary verification face recognition gate pass by false pretenses determination method, comprising the following steps: S1: the face appearing in camera video is detected, and the face track information is recorded;S2: determine the passenger ID for identity verification as the first ID, and record the first ID face information, empty all historical track information;S3: re-detect the face appearing in camera video, and record the face track information;S4: when passenger face leaves camera video edge, determine that the passenger is passing through gate door, while recording the face information of current ID;S5: compare whether the face of pass passenger and the face of verification are the first ID face, if not, it is determined as pass by false pretenses.The application uses passenger face imaging to leave camera edge, and does secondary face verification, directly compares and verifies the face of pass passenger, and if not the same person, it is alarmed, so as to ensure that the face of verification and the face of pass passenger are the same person.

The application discloses a kind of community mutual aid method and system of multi-door lock coordination, method includes: according to the selection operation of the user of the party of entrusting and the user of the party of being entrusted on respective intelligent door lock, to property management system registration mutual aid identity information, complete multicast network registration;According to the user of the party of entrusting and the business type of the user of the party of being entrusted, generate the entrustment request multicast message and send, and according to user confirmation operation generates entrustment confirmation message and returns the door lock of the party of entrusting;According to the face brushing operation of the user of the party of being entrusted in unmanned shop door lock, trigger face verification multicast message, and the shopping list is sent to shop door lock after the door lock of the party of entrusting receives verification pass message;According to the face brushing payment operation of the user of the party of being entrusted after completing shopping, the door lock of the party of entrusting is sent to payment machine after the door lock of the party of entrusting is confirmed, and payment is completed.Utilize the embodiment of the application, can solve the shopping problem of old people with difficulty in movement, improve the efficiency of multi-party information interaction, guarantee community mutual aid convenient and reliable.

The invention discloses a face verification method and device, equipment and a storage medium, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining a verification video after determining to start face verification for a current service; performing multi-dimensional feature extraction on the verification video to obtain a multi-dimensional video feature corresponding to the verification video; calculating a risk score corresponding to each video feature in the multi-dimensional video features, and fusing the risk scores to determine a risk probability; and determining a face verification result according to the risk probability and a probability threshold corresponding to the current service. According to the technical scheme, the multi-dimensional features of the verification video used for performing face verification on the current service and the risk scores of all the dimensional features are determined, the risk scores of all the dimensional features are fused to determine the risk probability of the verification video, accurate risk assessment of the verification video is realized, and the risk assessment accuracy of the verification video is improved. The face verification result is determined by comparing the risk probability corresponding to the current service with the probability threshold, accurate face verification is achieved, and the accuracy of face verification is improved.

1. The name of this product design: Face verification machine. 2. Application of this design product: used to verify the identity of people, such as checking the entry and exit of people holding passes to controlled areas at airports. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention relates to the technical field of repeater maintenance, and provides a repeater maintenance system login method and system and a medium, and the method comprises the steps: obtaining and storing the face image data of equipment maintenance personnel; when the repeater maintenance system is logged in, the stored face image data is used to verify the face image of the equipment maintenance personnel; after the face verification is passed, acquiring equipment serial number information of the to-be-maintained equipment; determining that a login requirement is met by using the obtained equipment serial number; encrypting the equipment serial number to generate a random code; sending the random code to an equipment maintenance terminal and a repeater maintenance system; receiving an input random code, and carrying out verification login by using the input random code; according to the method, the safety of the repeater maintenance system can be effectively improved, potential safety hazards caused by fixed passwords are avoided, lawbreakers are prevented from randomly logging in equipment to perform malicious operation, and normal operation of network signals is guaranteed.