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 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: 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: Systems and methods are provided for data migration. For example, a data packet of a first platform is acquired; the data packet is parsed to obtain one or more data structure fields of the data packet; the data structure fields of the data packet are matched with a predetermined first field mapping table; in response to the data structure fields of the data packet being matched with the predetermined first field mapping table, the data packet is associated with a second platform based at least in part on one or more predetermined association rules; the data packet is converted based at least in part on the association of the data packet and the second platform; and the converted data packet is migrated to the second platform.

Abstract: Systems and methods are provided for data migration. For example, a data packet of a first platform is acquired; the data packet is parsed to obtain one or more data structure fields of the data packet; the data structure fields of the data packet are matched with a predetermined first field mapping table; in response to the data structure fields of the data packet being matched with the predetermined first field mapping table, the data packet is associated with a second platform based at least in part on one or more predetermined association rules; the data packet is converted based at least in part on the association of the data packet and the second platform; and the converted data packet is migrated to the second platform.