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Introduction

Welcome to the QI Tech Face Recognition SDK integration manual for Flutter! The flutter_kyc_qitech plugin exposes QI Tech's native Android (Kotlin) and iOS (Swift) SDKs through a Dart interface. You should use it to run your customer's liveness proof directly from your Flutter application and reference the captured image, through a key, in the other products of the QI Tech system.

A single plugin for all three SDKs

flutter_kyc_qitech delivers the three Risk Solutions SDKs in the same package: startFaceRecon (face recognition), startOcr (OCR) and startDeviceScan (device scan). Once installed, all three methods are available — no additional plugins are required.

Having issues?​

We are not a company that hides behind an API! Contact our support and we will respond as quickly as possible. Feel free to call us if you want a quick response!

We love feedback​

Even if you have already solved your problem or if it is very simple (even a typo or poor organization that you already understood), send us an email—this way we make the documentation more and more practical and the next person won't have to suffer the pains you suffered!

Environments​

We have two environments for our customers. The selection is made through the CaaSEnvironment enum, passed as the first parameter of the startFaceRecon method. At the moment, the following environments are available:

  • Production - CaaSEnvironment.production
  • Sandbox - CaaSEnvironment.sandbox

Each environment requires a different API key to generate the clientSessionKey.

Important Note!

Do not use real personal or corporate data in QI Tech's Sandbox environments.

Device Scan integration​

The Face Recognition service automatically makes an internal call to Device Scan. Because of that, the success response includes the deviceScanSessionId field, which identifies the device scan session performed internally and can be used in an integrated way in other services of the QI Tech ecosystem.

Next steps​

  1. Compatibility — minimum Flutter, Dart, iOS and Android versions.
  2. Installation — plugin installation and native Android and iOS setup.
  3. Implementation — obtaining the clientSessionKey and a complete startFaceRecon example.
  4. The FaceReconOptions object — every customization parameter.
  5. Collecting the Responses — response structure and error handling.