Abstract: This application discloses a method for processing a face image performed by an electronic device. In this application, when a camera component acquires a face image of a human being in response to a trigger operation, identification information can be read from a memory of the electronic device. The identification information uniquely corresponds to a quantity of all face images acquired by the camera component during a predefined time period. The identification information is embedded into the face image to obtain the face image carrying the identification information. The face image carrying the identification information is transmitted to a remote server for authenticating the human being using the identification information. Therefore, the security of the face image acquired by the camera component is improved, and the security of the face image transmission process is effectively ensured.

Abstract: A biometric payment processing method includes: obtaining image data, the image data comprising a plurality of images of an organism that are successively acquired; detecting a target part in an image in the image data, the target part being a part to which a biometric payment function is bound in the organism; determining, in response to that the target part is detected from the plurality of images, a movement speed corresponding to the target part in the plurality of images; and performing a payment operation based on the target part in response to that the movement speed is less than a speed threshold.

Abstract: A method includes obtaining a current image for a target object, recognizing a target image region from the current image, determining an imaging size of the target object based on the target image region, obtaining a reference parameter determined according to a reference size of the target object and a reference distance between aperture and image sensor of camera, determining first distance between the target object and the camera when the current image is collected based on the reference parameter and the imaging size, obtaining second distance between the target object and the camera when historical image is collected, determining collection time difference between the current and historical images, determining movement speed of the target object based on the first and second distances, and the collection time difference, and determining, according to the current image, target image when the movement speed satisfies identity recognition image condition.

Abstract: A method for generating a dashboard for visualizing data streams is applicable to the fields of cloud computing and intelligent transportation. The method includes acquiring a domain model diagram of a service system and at least two data sources; determining relationship data among all domain entities in the domain model diagram based on a first representation vector of the domain model diagram; determining a data source entity relationship, a data stream relationship, and impact factors of the at least two data sources based on the relationship data and the at least two data sources; and generating a dashboard for visualizing data streams of the service system based on the data source entity relationship, the data stream relationship, and the impact factors.

Abstract: A data transmission method, apparatus, and system, a computer device, and a storage medium. The method includes: performing two-way authentication with a first interaction device; receiving encrypted interaction data obtained by encrypting interaction data based on a working key and transmitted by the first interaction device, after the two-way authentication is completed, the working key being obtained by the first interaction device by mapping an authentication key used in the two-way authentication; decrypting the encrypted interaction data according to the working key obtained by mapping the authentication key on the communication adapter; transmitting interaction data obtained through the decryption to a second interaction device through a simulated device node identifiable by the second interaction device and based on a communication protocol of the second interaction device that is natively adapted to the device node.

Abstract: A method for detecting a distance of a palm relative to an information acquisition device is performed by a computer device and the method includes: obtaining an image of a palm and at least one distance value of the palm acquired by the information acquisition device having a camera module and a plurality of distance sensors; determining position information of an identity marker in the image; determining, according to the at least one distance value, calibration positions corresponding to the plurality of distance sensors in the image; determining, according to the position information and the calibration positions corresponding to the plurality of distance sensors in the image, at least one target distance sensor detecting the identity marker in the plurality of distance sensors; and determining a distance between the identity marker and the information acquisition device according to the distance value acquired by the at least one target distance sensor.

Abstract: A palm image processing method is performed by a computer device. The method includes: obtaining a palm image, and performing feature extraction on the palm image, to obtain image features at a plurality of scales; fusing the image features at the plurality of scales, to obtain an image fusion feature; determining, based on the image fusion feature, a palm part frame identifying a palm part in the palm image as a palm part image; performing image encryption on the palm part image, to obtain encrypted palm part image data; and transmitting the encrypted palm part image data to a server, and the server performing identity recognition based on the encrypted palm part image data.

Abstract: Disclosed are a picture encryption method and apparatus, a computer device, a storage medium and a program product. The method includes: acquiring N pictures having a time sequence, N being an integer equal to or greater than 2; performing feature extraction on the N pictures to acquire a picture feature of each of the N pictures; successively performing target prediction on the N pictures according to the time sequence to obtain prediction information of the each of the N pictures, the target prediction referring to a prediction on the each of the N pictures based on status information, and the status information being information which is updated based on picture features of pictures that have been predicted; and encrypting the N pictures based on the prediction information of the each of the N pictures.

Abstract: This application discloses a secure face image transmission method performed by an electronic device. In this application, when a camera component of the electronic device acquires any face image, face image information can be read from a buffer. The face image information is used for indicating a quantity of all face images historically acquired by the camera component. Identification information is embedded in the face image to obtain the face image carrying the identification information. The identification information is used for indicating the face image information but not perceivable by a human being. The face image carrying the identification information is transmitted to a remote server for authenticating the face image using the identification information. Therefore, the security of the face image acquired by the camera component is improved, and the security of the face image transmission process is effectively ensured.

Abstract: This application provides object recognition applicable to various scenarios such as security, a cloud technology, artificial intelligence, smart transportation, and assisted driving. The object recognition may be performed by: obtaining, by a recognition device, a distance between a to-be-recognized object and the recognition device; in response to the distance being not equal to a target distance between the to-be-recognized object and the recognition device, controlling, according to the distance, a wind pressure generator to adjust a wind pressure acting on the to-be-recognized object to cause the to-be-recognized object to move to a location having the target distance; and in response to the distance being equal to the target distance, recognizing the to-be-recognized object to obtain a recognition result. In the embodiments of this application, the wind pressure acting on the to-be-recognized object is determined according to the distance between the to-be-recognized object and the recognition device.

Abstract: This application provides a palm contour extraction method performed by a computer device. The method includes: obtaining bone point information respectively corresponding to palm bone points in a target palm image, the bone point information including bone point positions and bone point types; matching the palm bone points based on the bone point positions and the bone point types, to obtain a plurality of palm bone point sets, each palm bone point set having a corresponding geometry processing type for a corresponding set of palm bone points in the target palm image; determining a plurality of palm contour points from the plurality of palm bone point sets based on their respective geometry processing type; and generating a palm contour corresponding to the target palm image based on the plurality of palm contour points.

Abstract: A payment processing method is provided to be performed by a first device. The method includes obtaining order information and transmitting the order information to a second device for display, receiving a payment code transmitted by the second device, the payment code being generated by the second device according to a user payment identity after a payment confirmation instruction triggered by a user is received, obtaining a payment result by performing, in a payment account corresponding to the payment code, payment processing on the order information based on the payment code, and transmitting the payment result to the second device for display.

Abstract: A method for guiding palm verification performed by a computer device is disclosed. The method includes: displaying a guidance interface for palm verification, the guidance interface including graphical guidance information and the graphical guidance information comprising a movable element in a moving region, and a display location of the movable element in the moving region indicating a current distance between a palm and a detection device; dynamically adjusting the display location of the movable element in the moving region on the guidance interface in response to a change of the current distance between the palm and the detection device; and displaying first prompt information for indicating starting of verification or completion of verification when the display location of the movable element in the moving region meets a preset condition.

Abstract: This application discloses a palm image recognition method performed by a computer device. The method includes: performing palm detection on a palm image captured by a camera to generate a palm box for a palm in the palm image (304); determining location information of the palm relative to the camera based on the palm box and the palm image; and displaying a palm identifier corresponding to the palm based on the location information, the palm identifier being used for indicating the palm to move to a preset spatial location corresponding to the camera to obtain an object identifier corresponding to the palm image. A user, based on the palm identifier, moves its palm to the preset spatial location corresponding to the camera to perform palm image recognition.

Abstract: This application discloses a palm-based human-computer interaction method performed by a computer device. The method includes: obtaining, by a palm-based interaction device, sensor data of a palm that is captured by at least two proximity sensors, the at least two proximity sensors being disposed in an array on the palm-based interaction device; recognizing a hovering interaction action of the palm based on the sensor data of the palm that is captured by the at least two proximity sensors; and performing a response operation for the hovering interaction action. This application provides a new interaction manner. A proximity sensor recognizes a hovering interaction operation performed by a palm, so that a user can control a palm-based interaction device without touching or any physical contact. This improves efficiency of interaction.

Abstract: This application relates to an identity verification method performed at a computer device. The method includes: obtaining a biometric feature image of an object; performing living body detection on the biometric feature image in a secure running environment of the computer device; in accordance with a determination that the object is a living body, extracting biometric feature information from the biometric feature image and encrypting the biometric feature information in the secure running environment of the computer device; transmitting the encrypted feature information to an application in a normal running environment of the computer device for performing identity verification of the object; and receiving, from the application, an identity verification result of the object, the identity verification result being obtained after the encrypted feature information is decrypted and verified.

Abstract: This application relates to an image acquisition method performed by a computer device. The method includes: displaying a mapping pattern corresponding to a key area of a target part of a target object in response to a pattern display operation triggered by the target object; changing a display state of the currently displayed mapping pattern when a relative position of the target part relative to an image acquisition element changes; and acquiring a key area image of the target part contactlessly by using the image acquisition element when the currently displayed mapping pattern matches a preset recognition pattern.

Abstract: This application relates to an identity verification method performed at a computer device and a computer-readable storage medium.

Abstract: This application discloses an object recognition method performed by an electronic device. The method includes: simultaneously acquiring an infrared image and a visible image for a target object; obtaining depth information of reference pixel points in the infrared image relative to the target object; obtaining depth information of other pixel points in the infrared image relative to the target object according to position information of the reference pixel points in the infrared image and the depth information of the reference pixel points in the infrared image; aligning the pixel points in the infrared image with pixel points in the visible image based on the depth information of the pixel points in the infrared image; and performing object recognition on the target object based on the aligned infrared image and visible image, to obtain an object recognition result of the target object.

Abstract: A palm recognition device is provided, and belongs to the field of the electronic device technologies. The palm recognition device includes a housing, a PCB, and a camera. The PCB and the camera are both located inside the housing. The housing has an image capturing window, and a projection of the camera on the image capturing window deviates downward relative to a central point of the image capturing window.