88 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.

Embodiments of a system and method enable secure connectivity between the computer systems of a financial institution and software for Brand On Banking. Embodiments of the system include an Identity Platform, Know Your Customer (KYC) processes including ID card verification, face verification, document verification such as utility bills as proof of address, and biometric verification, and bank servicing features such as checking, savings, debit, payments, loans, and bill-pay. The secure connectivity is established in various embodiments through private or public Application Programming Interfaces (APIs) over a network service provider, thus eliminating third-party risk for the financial institution. Additionally, the system allows for displaying alternate brands and identifying customers associated with a specific product brand other than the financial institution. The mobile interface is user-friendly and consolidates all financial accounts in one location, reducing customer friction.

The invention relates to the technical field of attendance management, in particular to an intelligent electronic work card and a data management system thereof, the system comprises a face verification module, a card punching scale block, a behavior evaluation module, an authority isolation module and a risk push module, and based on collected face key point images, key point boundaries and archive standard images are compared point by point. According to the invention, through multi-level fusion of face feature point comparison and attendance behavior data and time sequence cooperative verification of card punching records and identity verification data, dynamic identification of identity authenticity and behavior track association is realized, and through combination of equipment affiliation determination and a sensitive label triggering mechanism, hierarchical management of sensitive data access is enhanced. According to the invention, the method supports the active push of abnormal operation based on the man-hour and track comprehensive discrimination process, can reflect the types and risk levels of abnormal behaviors in multiple dimensions, enhances the timeliness and refinement degree of risk response, and improves the application capability of intelligent early warning in attendance management.

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.

The present application discloses a method, apparatus, device, and storage medium for obtaining the true value of a head pose. Images of a target object are collected by multiple image acquisition devices at the same time, and the two-dimensional face key points marked in the multiple collected images are used as the data basis for three-dimensionally reconstructing the face key points of the target object, and then the true value of the head pose of the target object corresponding to the images is obtained. Since this solution does not need to rely on a wearable device to obtain the true value of the head pose, it is not affected by the wearing angle. By using multiple image acquisition devices at the same time and three-dimensionally reconstructing the face key points, the accuracy of the obtained true value of the head pose is guaranteed. Furthermore, when the true value of the head pose is applied to fields such as driver fatigue degree analysis, virtual reality somatosensory games, commodity purchase desire analysis, and face verification, the analysis results of the data can be made more accurate.

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 present invention relates to a face verification system based on a lensless camera. The system comprises a lensless mask, a camera sensor, and a controller. The lensless mask is used for lensless imaging of a face, and its parameters are optimizable. The camera sensor is used to capture a face image formed after passing through the lensless mask. The controller is used to directly perform face verification based on the face image captured by the camera sensor. The training process of the controller includes: establishing an imaging model for the lensless mask; inputting the face image into the imaging model to obtain a lensless imaging result; then inputting the result into a face verification model to be trained to obtain a face identity prediction result; calculating a loss function based on the face identity prediction result, thereby jointly optimizing and training the imaging model and the face verification model; and the face verification system optimizes the parameters of the lensless mask based on the trained imaging model. Compared with the existing technology, the present invention enhances the security of face data and improves prediction accuracy.

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.

The invention discloses a natural face verification method for a military computer system, and the method comprises the steps: obtaining the image data of a face, which comprises a face image obtained based on a camera and a face thermal image obtained based on a thermal imager; image processing, wherein a target texture image is obtained through texture algorithm processing of the face image, and a target thermal image is obtained through thermal image texture algorithm processing of the face thermal image; fusing the target texture image and the target thermal image by adopting a feature weight fusion method to obtain a fused image; and performing model training based on the fused image to obtain a face verification model based on face image and face thermal image judgment, and verifying the face based on the face verification model. According to the method, the face image and the face thermal image are combined, so that the accuracy of the face verification model is higher, many problems caused by image recognition can be avoided, and the identity recognition efficiency of an army unit is improved.

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 present invention discloses a security management system for storing face image data, belonging to the technical field of face image data security management, which includes a stored data processing module, a user terminal, and a data verification and scheduling module; the stored data processing module is used to process the face image data stored in the access control database; the user terminal is for user use and includes a face data management module and a face verification module; the face data management module is used for the user to manage the corresponding face information; the data verification and scheduling module is used for data verification and scheduling during access control face recognition; the face verification module is used for face verification; through the mutual cooperation among the stored data processing module, the user terminal, and the data verification and scheduling module, the secure processing of the user face data stored in the community access control is realized, avoiding the leakage of the user face data stored in the existing access control system; and enhancing the confidence of users in using face recognition.

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 invention provides a human face living body detection method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining to-be-detected human face data; inputting the to-be-detected face data into a face living body detection model to obtain a living body detection result; wherein the human face in-vivo detection model is obtained by training based on a training sample, the training sample at least comprises human face sample data and a correspondingly labeled human face expression category label, and the human face expression category comprises an unconventional human face expression. According to the invention, the human face sample data of the unconventional human face expression is added to the training sample to train the human face living body detection model, and the human face living body detection model can learn various human face expression features of the user, so that the robustness of the human face living body detection model to the unconventional human face expression of the user is enhanced; the accuracy and reliability of identity verification based on face living body detection are improved, and the face verification anti-counterfeiting recognition intensity is improved.

The present invention discloses a method and device for ensuring the consistency between the actual online car-hailing driver and the registered driver when driving. This method forms a comprehensive identity verification strategy for face recognition of the driver to be verified by judging whether the number of identity verification failures exceeds the failure threshold, querying the first identity verification request of the day, querying whether the previous identity authentication failed, detecting whether the driver to be verified has changed the mobile terminal, and executing the random recognition process in the selection order from top to bottom. It eliminates the traditional single face recognition identity verification for business, is effective and feasible, and improves the accuracy and efficiency of driver identity verification; it also avoids overly frequent face verification, reduces the impact on driving safety, and improves the user experience.

The utility model relates to a real-name authentication gate machine, which is applied to stations in public transportation operation of intercity railways, and is used for checking the identity of passengers when the passengers enter the stations. The public transportation riding voucher identification equipment comprises a code scanning head for identifying a paper two-dimensional code one-way ticket and an electronic riding code and an antenna for reading and writing a transportation card, a face verification tool; when the antenna or the code scanning head reads the unique code of the riding voucher, the industrial personal computer obtains the face id correspondingly bound with the riding voucher with the unique code from the server, the industrial personal computer transmits the face id to the face verification machine tool, and a screen of the face verification machine tool starts face information collection; the face verification machine tool compares the face id with the portrait information, if the face id and the portrait information are consistent, the industrial personal computer opens the gate, and if the face id and the portrait information are not consistent, the gate is kept in a closed state. According to the utility model, three-in-one ticket checking, authentication and verification of tickets, certificates and persons are realized, and the railway operation safety is ensured.

The present invention discloses a face verification privacy protection method and device. By loading the model parameters optimized by the present invention into the perturbation migration network T, corresponding privacy-protected image adversarial samples can be generated according to different facial images to be protected of different users. By uploading the privacy-protected image adversarial samples to the social platform, even after the platform's image compression processing, it cannot perform effective information processing activities after being captured by unauthorized malicious third parties, thereby ensuring the privacy security of users in the image sharing service process. The privacy-protected adversarial samples generated by the method of the present invention are real and natural. Through the two-stage collaborative generation framework of the user end and the server end, it is ensured that the server end does not need to obtain the user's original image in the process of constructing the adversarial sample, effectively avoiding the problem of information leakage of the user image on the server end, and enhancing the security of the privacy protection process itself.

The invention relates to the technical field of machine learning, can be applied to the fields of finance and medical treatment, and particularly discloses a model score mapping method and device based on piecewise linear interpolation, equipment and a medium. The score mapping formula is dynamically adjusted to adapt to the mapping requirements among different score models, the mapping accuracy is improved, the evaluation accuracy is further improved, the model score mapping method is applied to tasks such as face verification and medical image diagnosis when a financial account logs in, and the evaluation accuracy is improved. The scores of a plurality of scoring models actually used by the task can be accurately mapped, effective and accurate consistency scores are obtained, and then the evaluation accuracy is improved.

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 discloses an access security management method and system based on data management, and relates to the technical field of data security, and the method comprises the steps: collecting data, carrying out the multi-level encryption, storing the data in an external storage system, achieving the refined access control based on attribute and behavior analysis through a smart contract, and enabling a user to access when the user applies for access. Face verification is carried out based on rigid transformation in combination with an SIFT feature matching method and a Delaunay triangulation method, fingerprint verification is carried out, and a secret key decryption process is managed by using an intelligent contract in combination with multi-party computing. The intelligent contract is combined with user attributes and behavior analysis to realize more refined access control, accurate authority verification is performed on the user through a multi-level encryption and rigid change method and an SIFT feature matching technology, so that the safety of the user identity and the accuracy of the access authority are ensured, the authority is dynamically adjusted according to real-time behaviors, and the user experience is improved. And in combination with a multi-verification technology and a block chain technology, the security and reliability of data access are remarkably improved.

The present application discloses a method, apparatus, device, and storage medium for determining a similarity threshold. The method includes: obtaining multiple face images; combining any two images among the multiple face images to obtain multiple image sets, and calculating the similarity between the two images in each image set; comparing each similarity with each candidate similarity threshold in a preset candidate threshold set to obtain corresponding comparison results; calculating an evaluation index for each candidate similarity threshold according to the comparison results; and determining the candidate similarity threshold whose evaluation index reaches the index threshold as the target similarity threshold. The target similarity threshold calculated in the present application can be better applied to the verification of all face images, reduce the classification error, improve the classification accuracy rate, and thus improve the face verification accuracy rate, compared with the threshold set according to experience in the prior art.

The present invention relates to the technical field of public rental housing management. The present invention discloses a dynamic control system and method based on multi-source data fusion, including determining whether the current object is a tenant in the public rental housing according to the image to be recognized. If the current object is a tenant in the public rental housing, determining password-related information according to the image to be recognized, obtaining the first response information of the current object, judging whether to generate a face verification sequence according to the first response information. If so, performing face verification on the current object based on the face verification sequence. If the current object is not a tenant in the public rental housing, generating verification requirement information according to the intention information, and performing intention verification on the current object according to the second response information. By dynamically judging whether the object is a tenant and respectively adopting password verification and intention verification methods for tenants and non-tenants, the problem that the existing system cannot flexibly identify different identities is solved, and the flexibility and accuracy of the management system are improved.

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.