Human-computer interaction device for automatic settlement and application thereof

Abstract

The application discloses a human-computer interaction device for automatic settlement and an application thereof. The device comprises a camera unit, an identification unit and a display unit, wherein the camera unit is used for acquiring a first commodity image of commodities in a commodity placing area; the identification unit identifies the first commodity image and outputs commodity information; the display unit is used for displaying the commodity information; the camera unit is arranged outside the commodity placing area and is electrically connected with the identification unit, and the identification unit is electrically connected with the display unit; and the identification unit identifies the category and quantity of the commodities in the first commodity image, and outputs thepreset image and quantity of the commodities to the display unit. The device can accurately identify commodity characteristics, extract main information through the analysis of the commodity images,reorganize the information and finally return the information to people, and thus the shopping experience of users in the scene of unmanned convenience stores can be improved. The application also discloses an unmanned service desk, a self-service shop or an unmanned convenience store adopting the automatic settlement human-computer interaction device.

Description

technical field [0001] This application relates to a human-computer interaction device for automatic settlement and its application, which belongs to the field of deep learning neural network and image recognition. Background technique [0002] In the existing offline self-service settlement scenario, there are two main methods for commodity machine identification: [0003] The first is based on the RFID electronic tag method. In the database, specify the product correspondence for each electronic tag with a unique ID, and then post the tag on this type of product. When identifying, use a card reader to read the unique electronic tag first. ID, query the product information corresponding to the ID in the database to realize "identification" of the product. The direct failure object of this method is RFID, which has problems such as high label cost, high error correction cost, and easy electromagnetic interference during identification. [0004] The second is that the user ...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above technical problems, this application provides a human-computer interaction device for automatic settlement. The human-computer interaction device solves the problem of commodity machine recognition in the self-service settlement scene. Image recognition algorithm directly recognizes the product

Images