KYC solution for embedding in mobile applications

Innowise upgraded the customer identity and access management software for iOS and Android to ensure seamless cross-platform use, mobile biometric verification, and instant authentication for improved user experience.

Challenge

Financial institutions and companies working in the cryptocurrency space must prevent fraud attacks and cybercrime, protect customer data, avoid attacks and the spread of bots and fake accounts. Verification tools from KYC solution providers are usually implemented as a measure to verify a client’s identity using their photos, documents, or accommodation data.

The product offered by our client is a KYC library that provides customer verification functions in web and mobile versions. However, due to its limited web widget functionality and time-consuming verification process for mobile users, the KYC framework was not fully optimized for iOS and Android. To address this, our specialists were tasked with enhancing the KYC library and optimizing the key verification functions:

1. Biometric verification. The software for face recognition captures user images to confirm an individual’s identity based on facial features. However, it lacked a comprehensive library to process 3D biometrics and streamlined procedures for collecting user data.

2. Document verification. The system identified the validity of documents such as a passport, ID-card or driver’s license, by comparing the input information against reference databases and verifying its physical characteristics. This process also involves verifying the document with the obtained biometric data.

3. Processing of residence data and supporting documents. The system processed and verified both users’ residence data and supporting identification documents. The mobile version did not support user login with key data obtained during primary identification. This required extra time for data input, as users had to enter personal information and take pictures of their documents every time they logged in for authentication purposes.

Solution

Our team successfully optimized the ID verification Check system by redesigning its library architecture and framework for both operating systems. We also integrated an additional library, updated the user interface design, and added several features to significantly speed up the user identification process on mobile devices.

In general, our team's work included the following components:

optimizing and implementing the framework on both iOS and Android operating systems;
integrating an additional library to enable advanced verification options and 3D biometrics;
enabling users to upload their data easily;
simplifying and expediting the collection of biometric data through photos and videos;
speeding up the identity verification process on both iOS and Android devices.

Improvement of cross-platform app architecture and enhanced UI

Our team of specialists has made significant optimization improvements to expand ID verification functions across mobile platforms for identity and access management software. We redesigned the system by removing unnecessary screens and provided UI-refactoring in order to make the biometric photo and document verification stages faster and more intuitive.

New library integration for 3D biometrics

Our specialists integrated a new library for accelerated biometrics processing. Previously, the software for face recognition only supported standard recognition methods that required users to take several photos of their face from different angles over several seconds. The resulting 2D images were sent to the ID verification server for subsequent processing and confirmation.

With the new library, users need to make fewer movements and complete a 3D face scan in less time to provide high-quality biometric data. The interface offers clear instructions on the necessary user actions.

Once obtained, the data is sent to the server for processing, validation, and user authentication. The implemented 3D biometrics system has improved verification accuracy, accelerated data processing, and simplified the scanning procedure for users. Additionally, our specialists have enhanced image quality by making it brighter and clearer, resulting in more accurate identification.

Optimized document verification solution

Previously, users could only add supporting documents on mobile devices by taking a photo in real-time using their phone camera. However, we have now implemented a new function that allows users to take photos in any convenient screen orientation, add various documentation types, and upload documents directly from their phone gallery in various formats, including PDF. This enhancement simplifies the verification process for users as they no longer need to keep physical documents on hand to take photos each time they log in.

Instant user identification

Previously, when using mobile apps with the integrated ID verification system, users had to upload their biometric data and supporting documents every time they logged into the application. However, we have implemented a new instant user identification system that allows users to log in quickly using a simple face scan. The uploaded selfies are instantly verified against verified 3D-biometrics and other data stored in the backend system, eliminating the need for users to re-upload documents and biometric data each time they log in.

Technologies

Back-end

Java, Spring boot, Docker, AWS, SQL

Front-end

Angular Typescript

Cloud

Azure, Azure Devops, Maven

Platforms

Android, iOS

iOS

Swift, UIKit, SwiftUI, Cocoapods, TestFlight, Postman, Proxyman

Android

Kotlin, Android Jetpack, Retrofit, Camera2, Timber, MVVM, Azure, Maven, Google Play Services

Database

MS SQL Server

Manual Testing

Process

When we first took on the project, we were faced with the challenge of unclear documentation for the iOS and Android versions of ID verification. Despite this, we leveraged the existing documentation for the web version to quickly establish a system for customer interaction, which included a ticket board for tracking progress.

Another obstacle was the unstructured library architecture, which made it difficult to integrate an additional library for expanding the framework functionality. However, our experienced team successfully redesigned and optimized the framework architecture, implementing the necessary changes within a shorter time frame.

We followed the Agile project management methodology with weekly team meetings, regular check-ins, and calls as needed. Our team and the client communicated regularly via Google Meet, and we monitored performance using a Jira board to ensure progress was on track.

Team required

Product Manager

Web Developer

Android Developer

iOS Developer

QA Engineer

Results

Our team has successfully optimized the system architecture and functionality of the KYC solution across mobile devices by integrating the advanced library with 3D biometrics. This has not only enhanced the verification process but also improved the user interface.

Related cases

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