Multi-user barrier-free code scanning payment method and device applied to IOS system

Abstract

The invention provides a multi-user barrier-free code scanning payment method applied to an IOS system. A self-learning-based machine learning model, two full screens, two cameras and a mobile paymentdevice which is based on an IOS control system of a central processing unit and supports cooperative application of an input device and a printing device are configured in multiple scenes for networking, and the mobile payment device is connected with an electronic terminal and a server cluster; obtaining parameter data to generate a two-dimensional code image; when it is monitored that the payment event is triggered, code scanning and non-contact card swiping payment are supported, and the first distance measurement sampling point is monitored, self-learning image reading and payment of multiple users are completed through deduction scanning. According to the method, a preset algorithm is adopted for decoding, and when a bar code exists in front, a display screen is changed into transparent glass for reading; through algorithm processing, bar code content and display information are simultaneously read based on the two full screens and the two cameras. The invention further providesa multi-user barrier-free code scanning payment device applied to the IOS system.

Description

technical field [0001] The present disclosure relates to the technical field of mobile payment and the technical field of image recognition, in particular, to a method and device for multi-user barrier-free code scanning payment applied to the IOS system. Background technique [0002] In the prior art, cash register methods applied in multiple scenarios are POS machine card swiping, cash and other methods. Open the electronic terminal for the payer in very few scenarios, and provide static QR codes for multiple scenarios (the static payment image will inevitably contain some impurities, interference, etc. during the production and image collection process, Make the image have noise, fuzzy, uneven gray level) to scan, read the information of the QR code, and complete the payment operation. The above-mentioned cash register method makes the form of cash register single, and cannot realize the QR code self-learning reading and payment operations based on the IOS system based o...

AI Technical Summary

Problems solved by technology

The above cash register method makes the form of cash register single, and it is impossible to realize the QR code self-learning reading and payment operation based on the IOS system based on the hardware conditions of two full screens or even two dual cameras.

Does not have the precision, flexibility, diversity and applicability of the application

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