Alibaba Group Holding Limited

Advanced New Technologies Co., Ltd.

Xiaodong Zeng

Feng Lin

Jun Wu

Huanmi Yin

Hong Zhang

Linqing Wang

Xiaobo Zhang

Xinyu Weng

Lei Yang

Haitao Jiang

Fuqiang Li

Li Chen

Weihua Luo

Lei Jiao

Wujie He

Le Zhou

Jiajia Li

Sihai Yao

Fan Yang

Kaiming Huang

Lei Cao

Rong Wang

Hongbo Cai

Xudong Yang

Zhangjun Hou

Yanchu Guan

Chunlin Fu

Yang Yi

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.

Method, apparatus, and electronic device for blockchain-based recordkeeping

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a virtual reality head-mounted apparatus are provided. One of the apparatus includes: an apparatus body being provided with a convex lens and a camera, the camera being located on a user side of the convex lens, and a lens of the camera facing an eye of the user to acquire eye pattern features of the user. The virtual reality head-mounted apparatus may acquire eye pattern features of the user without interrupting the displaying of virtual reality contents, and quickly and accurately perform identity verification on the user based on the eye pattern features.

Virtual reality head-mounted apparatus

Embodiments of the application provide information processing systems, methods and devices based on Internet of Things. An information processing system comprises a server device, a first device and a second device. The first device and second device are both an Internet of Things device. The first device is configured to: in response to detecting that a first acquisition instruction is triggered, acquire biometric feature information, and send the acquired biometric feature information to the server device. The server device is configured to identify a user corresponding to the biometric feature information. The second device is configured to: in response to detecting that a second acquisition instruction is triggered, acquire body movement information associated with the user, and send the acquired body movement information to the server device. The server device is further configured to perform an operation for the user according to the body movement information.

Information processing method and device based on internet of things

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.

User identity authentication using virtual reality

The application discloses a resource distributing method and device used for improving resource distributing efficiency. The method comprises: receiving a resource distributing request and determining one or more pre-selected receiving identifiers; determining a total distributing budget for distributing a resource; determining a distributing result according to the total distributing budget and one or more pre-selected receiving accounts corresponding to the one or more pre-selected receiving identifiers, wherein the distributing result is a resource value based on which the resource is to be distributed from the sending account to a receiving account in the one or more pre-selected receiving accounts; and distributing the resource from the sending account to the receiving account according to the distributing result. The application further discloses a red-envelope distributing method.

Internet resource distributing method and device, and network red-envelope distributing method

Embodiments of the specification disclose a transaction execution method, apparatus, and device applicable in a client terminal and a server. The transaction execution method includes: scanning an offline object and a corresponding identification code thereof, the identification code comprising positioning assistance information of the offline object; triggering a recognition process for the offline object and the identification code; and executing a transaction with respect to the offline object based on a result of the recognition process.

Service execution method, apparatus, and device for use in client terminal and server

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.

On-shelf commodity detection method and system

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.

Goods order processing method and apparatus, server, shopping terminal, and system

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.

Method and apparatus for recognizing illegal behavior in unattended scenario

Implementations of the present specification provide an interaction behavior detection method, apparatus, system, and device. The method includes the following: obtaining a to-be-detected depth image photographed by a depth photographing device, extracting a foreground image used to represent a moving object from the to-be-detected depth image, obtaining spatial coordinate information of the moving object based on the foreground image, comparing the spatial coordinate information of the moving object with spatial coordinate information of a shelf in a rack, and determining an article touched by the moving object based on a comparison result and one or more articles on the shelf.

Interaction behavior detection method, apparatus, system, and device

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.

Virtual reality identity verification

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.

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Hangzhou, China

Xiaodong Zeng