Abstract: Provided is a method for blockchain-based recordkeeping and implementable by a terminal device. The method comprises: obtaining target data; computing a data digest of the target data, and extracting a key segment from the target data; signing, in a secure operation environment included in the terminal device, the data digest and/or the key segment based on a private key associated with the terminal device to generate a signature; and submitting to a blockchain the data digest, the key segment, and the signature, for one or more nodes in the blockchain to verify the signature based on a public key corresponding to the private key, and to record the data digest and the key segment in the blockchain in response to the signature being verified to be valid.

Abstract: Interaction characteristics of a user interacting with a virtual reality (VR) terminal are obtained through preset sensing hardware in response to a request for execution of a target task requiring user identity verification. The obtained interaction characteristics of the user are compared with preset interaction characteristics of an authorized user of the VR terminal to verify identity of the user. The target task is executed and the user is authenticated as an identity-verified user of the VR terminal based on a successful user identity verification.

Abstract: A computer-implemented method includes: obtaining, by a detection device, first device information of a first set of devices detected in a target area using a first communication mode; determining, based on the first device information, a first quantity of devices in the target area; determining, based on second device information of a second set of devices, a verification coefficient, the second set of devices being detected in the target area using a second communication mode; and calculating, based on the first quantity of devices and a verification coefficient, a measure of real-time human traffic in the target area.

Abstract: Provided is a method for blockchain-based recordkeeping and implementable by a terminal device. The method comprises: obtaining target data; computing a data digest of the target data, and extracting a key segment from the target data; signing, in a secure operation environment included in the terminal device, the data digest and/or the key segment based on a private key associated with the terminal device to generate a signature; and submitting to a blockchain the data digest, the key segment, and the signature, for one or more nodes in the blockchain to verify the signature based on a public key corresponding to the private key, and to record the data digest and the key segment in the blockchain in response to the signature being verified to be valid.

Abstract: At least one associated image uploaded by a client is received, where the at least one associated image is obtained in response to detecting, by the client based on an image recognition method, an occurrence of a change of goods in a storage container. Based on the at least one image, difference information pertaining to a difference in the goods in the storage container is identified. Corresponding goods order change information is generated using the difference information. User order information corresponding to the client based on the goods order change information is updated. Updated user order information is sent to the client.

Abstract: Methods, apparatuses, and devices, including computer programs encoded on computer storage media, for recognizing an unauthorized behavior are provided. One of the methods includes: obtaining, through machine vision, body movement pattern data of a user; obtaining feature data of an object; comparing the body movement pattern data with a preset body movement pattern; and determining that the user's behavior is unauthorized in response to the body movement pattern data matching the preset body movement pattern and that: a distance between the user's body and the object is within a distance threshold over a preset length of time, the attribute category of the object is a preset category, and the external surface image does not match a default external surface image of the object. The feature data may include: position data of the object based on a radio frequency identification tag on the object, attribute category data of the object, and external surface image of the object.

Abstract: A statistics-based machine translation method is disclosed. The method generates probabilities of translation from a sentence to be translated to candidate translated texts based on features of the candidate translated texts that affect the probabilities of translation and a pre-generated translation probability prediction model. The features that affect probabilities of translation include at least degrees of semantic similarity between the sentence to be translated and the candidate translated texts. A preset number of candidate translated texts with highly ranked probabilities of translation are selected to serve as translated texts of the sentence to be translated. The method is able to go deep into a semantic level of a natural language when a machine translation model is constructed to avoid a semantic deviation of a translated text from an original text, thereby achieving the effect of improving the quality of translation.

Abstract: At least one associated image uploaded by a client is received, where the at least one associated image is obtained in response to detecting, by the client based on an image recognition method, an occurrence of a change of goods in a storage container. Based on the at least one image, difference information pertaining to a difference in the goods in the storage container is identified. Corresponding goods order change information is generated using the difference information. User order information corresponding to the client based on the goods order change information is updated. Updated user order information is sent to the client.

Abstract: A method for offline-service multi-user interaction based on augmented reality (AR) includes scanning, by an AR client terminal of a user, an offline service label at an offline service site. Information of the offline service label is transmitted to a server terminal. Based on the information of the offline service label, the server terminal establishes a service group including the user and a second user that scanned the offline service label. In response to transmitting the information of the offline service label, service data is received from the server terminal. The service data includes information related to the user and information related to the second user. Based on the service data, a service interactive interface is outputted. The service interactive interface displays the information related to the user and the information related to the second user at a position corresponding to the offline service label in an AR scene.

Abstract: Methods, apparatuses, and devices, including computer programs encoded on computer storage media, for recognizing an unauthorized behavior are provided. One of the methods includes: obtaining, through machine vision, body movement pattern data of a user; obtaining feature data of an object; comparing the body movement pattern data with a preset body movement pattern; and determining that the user's behavior is unauthorized in response to the body movement pattern data matching the preset body movement pattern and that: a distance between the user's body and the object is within a distance threshold over a preset length of time, the attribute category of the object is a preset category, and the external surface image data does not match a default external surface image of the object. The feature data may include: position data of the object based on a radio frequency identification tag on the object, attribute category data of the object, and external surface image data of the object.

Abstract: Implementations of the present specification disclose methods, apparatuses, and devices for recognizing an identity of a first user from multiple users in an environment. In one aspect, the method includes: obtaining, from one or more monitoring devices, one or more video streams including images of the multiple users in the environment; obtaining, from a touch-enabled device, information indicative of a touch; identifying, based on the one or more video streams and the information indicative of the touch, a particular user from the multiple users as the first user; obtaining biometric features of the first user; and performing identity recognition of the first user based on the biometric features of the first user.

Abstract: Disclosed are methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing interaction behavior detection. One method includes obtaining a depth image from a depth camera disposed above a rack, and a filming range of the depth camera covers an outer edge of each shelf in the rack and an aisle. A foreground images associated with a moving object from the depth image is extracted. Spatial coordinates of the moving object are obtained based on the foreground image. An object on a shelf in the rack that is physically contacted by the moving object is determined based on comparing the spatial coordinates of the moving object with spatial coordinates of the shelf, where the spatial coordinates of the shelf is determined based on a background depth image captured by the depth camera at a predetermined angle unobstructed by the moving object.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for on-shelf merchandise detection are provided. One of the methods includes: obtaining a plurality of depth images associated with a shelf from a first camera; obtaining a plurality of images from one or more second cameras associated with each of a plurality of tiers of the shelf; detecting motions of a user's hand comprising reaching into and moving away from the shelf; determining one of the tiers of the shelf associated with the detected motions, a first point of time associated with reaching into the shelf, and a second point of time associated with moving away from the shelf; identifying a first image captured before the first point in time and a second image captured after the second point in time; and comparing the first image and the second image to determine one or more changes to merchandise.

Abstract: A method includes: receiving, at a server and from an augmented reality device, user information of a user using the augmented reality device; generating, by the server, a picture feature sample sub-library corresponding to the user information, including screening out, from a preset picture feature sample library, picture feature samples associated with the user information; and providing, to the augmented reality device, the picture feature sample sub-library, wherein the picture feature sample sub-library can be configured to be used by the augmented reality device to perform, during image scanning of an offline environment of the user, image recognition of images scanned from the offline environment by comparing the scanned images to picture features in the picture feature sample sub-library.

Abstract: Provided is a method for blockchain-based recordkeeping and implementable by a terminal device. The method comprises: obtaining target data; computing a data digest of the target data, and extracting a key segment from the target data; signing, in a secure operation environment included in the terminal device, the data digest and/or the key segment based on a private key associated with the terminal device to generate a signature; and submitting to a blockchain the data digest, the key segment, and the signature, for one or more nodes in the blockchain to verify the signature based on a public key corresponding to the private key, and to record the data digest and the key segment in the blockchain in response to the signature being verified to be valid.

Abstract: A method includes: receiving, at a server and from an augmented reality device, user information of a user using the augmented reality device; generating, by the server, a picture feature sample sub-library corresponding to the user information, including screening out, from a preset picture feature sample library, picture feature samples associated with the user information; and providing, to the augmented reality device, the picture feature sample sub-library, wherein the picture feature sample sub-library can be configured to be used by the augmented reality device to perform, during image scanning of an offline environment of the user, image recognition of images scanned from the offline environment by comparing the scanned images to picture features in the picture feature sample sub-library.

Abstract: An audio signal is obtained by a user terminal. The audio signal is divided into a plurality of short-time energy frames based on a frequency of a predetermined voice signal. Energy of each short-time energy frame is determined. Based on the energy of each short-time energy frame, whether the audio signal includes a voice signal is determined.

Abstract: A method for service control and user identity authentication includes recognizing a voice command of a virtual reality (VR) device user for initiating a service supported by a VR application, using a biometric sensor to collect one or more biometric characteristics of the VR device user, performing user identity authentication based on the collected one or more biometric characteristics, and communicating with a server that provides the service for performing the service if the user identity authentication is successful.

Abstract: Methods, apparatuses, and devices, including computer programs encoded on computer storage media, for recognizing an unauthorized behavior are provided. One of the methods includes: obtaining, through machine vision, body movement pattern data of a user; obtaining feature data of an object; comparing the body movement pattern data with a preset body movement pattern; and determining that the user's behavior is unauthorized in response to the body movement pattern data matching the preset body movement pattern and that: a distance between the user's body and the object is within a distance threshold over a preset length of time, the attribute category of the object is a preset category, and the external surface image data does not match a default external surface image of the object. The feature data may include: position data of the object based on a radio frequency identification tag on the object, attribute category data of the object, and external surface image data of the object.

Abstract: A method for user identity authentication using virtual reality includes presenting one or more virtual elements on a virtual reality (VR) scenario of a VR application for initiating a service, identifying, using one or more sensors communicably coupled to the VR device, one or more interactive operations of a user of the VR device with the one or more virtual elements, determining whether the one or more interactive operations match one or more predetermined operations for selecting the one or more virtual elements to initiate the service and trigger biometric authentication for user identity authentication, invoking biometric authentication if the one or more interactive operations match one or more predetermined operations, presenting a virtual guidance in the VR scenario for guiding the user to perform the biometric authentication, and presenting a service interface to the user if the biometric authentication is successful.