Gazprombank has introduced a solution for recognizing QR codes into the mobile application

2022

Document Recognition System

Project dates: December 2021-December 2022

QR Recognition System

Project dates: December 2021-December 2022

2021: Document Recognition System

Project dates: December 2020-December 2021

2020

Implementation of QR code recognition module

On November 27, 2019, Smart Engines announced that Gazprombank had implemented an artificial intelligence-based solution for recognizing QR codes.

The updated version of Gazprombank's mobile application has a built-in QR code recognition module developed by Russian specialists in the field of creating artificial intelligence systems from Smart Engines. The introduced technology is used to accept payments using QR codes within the framework of the fast payment system of the Bank of Russia and pay receipts in the mobile application of Gazprombank - Telekard 2.0.

QR code recognition is one of the key and basic elements of modern banking applications. The convenience of our customers when paying LCD receipts, budget and tax payments depends on the quality of this technology. It is important for us that the Smart Engines solution provides high accuracy and speed of QR code recognition even on phones in the middle and lower price segments, noted the head of the department for the development of digital products and projects Elena Pilyar

In order to recognize a QR code in a mobile application, the user just needs to show it to the phone camera or take a picture of it. Recognition is carried out in real time and takes 1-2 seconds. The process is safe from the point of view of working with data, since all calculations are performed on the user's device without transferring images for processing to external services.

NVI Solutions delivered the solution and services for its integration into the GPB mobile IT ecosystem. The added QR code recognition functionality is available in the current versions of Gazprombank's Telekard 2.0 mobile application for iOS and Android.

Implementing Smart IDReader

On October 7, 2019, the company Smart Engines announced that it had "" Gazprombank acquired a technology solution based on that artificial intelligence will improve the efficiency of processing incoming applications for. credits The implemented technologies make it possible to fully automate the "credit pipeline" process by recognizing data Russian the applicant's passport and 2-NDFL form help and bring the number of automatically extracted attributes for one borrower to several hundred.

The stage of filling in the data in the loan application is important for us both for the implementation of pre-credit processing procedures and for the convenience of customer service. The use of artificial intelligence technologies for document recognition makes it possible to significantly improve the quality of the data provided in the application, as well as the speed of decision-making and thereby achieve the maximum effect from robotization, noted the head of the Retail Business Risk Department of Gazprombank Ekaterina Kotova

The developed technical solution due to automatic recognition of documents will improve the quality of input information when submitting credit applications, reduce the bank's costs for interviewing external systems, minimize credit risks, speed up the time for making a decision, and in the future reduce the time for entering an application, both on the part of a Bank employee and on the part of customers when entering an application in digital service channels.

The developer of the artificial intelligence system used in the project for document recognition is the Russian company Smart Engines. The accuracy of recognition and speed of processing documents in photos is ensured regardless of what lighting and what device they were made. NVI Solutions delivered the solution and services for its integration into the GPB IT ecosystem.