The EkycID Flutter SDK lets you build fantastic OCR and Face Recognition experienced in your Flutter app.
With one quick scan, your users will be able to extract information from thier identity cards, passports, driver licenses, license plate, vehicle registration, covid-19 vaccinate card, and any other document by government-issued.
EkycID is:
- Easy to integrate into existing ecosystems and solutions through the use of SDKs that supported both native and hybrid applications.
- Better for user experience being that the document detections and liveness checks are done directly offline on the device.
- Great for cutting down operations cost and increasing efficiency by decreasing reliance on human labor and time needed for manual data entry.
EkycID can:
- Extract information from identity documents through document recognition & OCR.
- Verify whether an individual is real or fake through liveness detection, and face recognition.
- Verify the authenticity of the identity documents by combining the power of document detection, OCR, liveness detection, and face recognition.
This Flutter SDK is a wrapper around our Native SDK (Android & iOS).
- Minimum iOS Deployment Target: 10.0
- Xcode 13 or newer
- Swift 5
- EkycID only supports 64-bit architectures (x86_64 and arm64).
- minSdkVersion: 21
- targetSdkVersion: 32
- compileSdkVersion 32
To use this plugin, add ekyc_id_flutter
as a dependency in your pubspec.yaml file.
dependencies:
...
ekyc_id_flutter:
Step 1: On iOS add the following to your Info.plist
<!-- Camera Access -->
<key>NSCameraUsageDescription</key>
<string>Camera Access for Scanning</string>
<!-- Microphone Access -->
<key>NSMicrophoneUsageDescription</key>
<string>Microphone for playing instructions audio.</string>
Step 2: Go to Project > Runner > Building Settings > Excluded Architectures > Any SDK > armv7
Step 3: Make adjustments to your Podfile as shown below.
# add this line:
$iOSVersion = '10.0'
post_install do |installer|
# add these lines:
installer.pods_project.build_configurations.each do |config|
config.build_settings["EXCLUDED_ARCHS[sdk=*]"] = "armv7"
config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = $iOSVersion
end
installer.pods_project.targets.each do |target|
flutter_additional_ios_build_settings(target)
# add these lines:
target.build_configurations.each do |config|
if Gem::Version.new($iOSVersion) > Gem::Version.new(config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'])
config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = $iOSVersion
end
end
end
end
No extra setup is needed.
Step 1: Setup URL to server.
void main() {
WidgetsFlutterBinding.ensureInitialized();
EkycIDServices.instance.setURL("YOUR_SERVER_URL");
runApp(MyApp());
}
Step 2: Setup EkycIDExpress Widget
We expose an easy to use widget called EkycIDExpress
. It handles the logic behind identity document scanning and liveness detections for you. You only expects to provide a simple callback to handle the result. Below is how you can use it.
class HomeScreen extends StatefulWidget {
const HomeScreen({Key? key}) : super(key: key);
@override
State<HomeScreen> createState() => _HomeScreenState();
}
class _HomeScreenState extends State<HomeScreen> {
Future<void> onKYCCompleted({
required LivenessDetectionResult liveness,
required DocumentScannerResult mainSide,
DocumentScannerResult? secondarySide,
}) async {
print("== ACCESS RESULTS HERE ==");
}
@override
Widget build(BuildContext context) {
return Scaffold(
body: Center(
child: TextButton(
onPressed: () async {
await showCupertinoModalBottomSheet(
context: context,
builder: (BuildContext context) {
return EkycIDExpress(
language: Language.KH,
onKYCCompleted: onKYCCompleted,
);
},
);
},
child: Text("Start KYC"),
),
),
);
}
}
Step 3: Handle the results
In the onKYCCompleted
callback, you will have access to an instance of LivenessDetectionResult
, and two instances of DocumentScannerResult
(One for each side of the document).
Step 3: Match Faces
You can perform a face compare between the face in the document and the face from liveness detection like below.
Future<void> onKYCCompleted({
required LivenessDetectionResult liveness,
required DocumentScannerResult mainSide,
DocumentScannerResult? secondarySide,
}) async {
ApiResult response = await EkycIDServices.instance.faceCompare(
faceImage1: mainSide.faceImage,
faceImage2: liveness.frontFace?.image,
);
print(response.data?) // match score
}
Step 4: Perform OCR
You can perform OCR on the document image like below.
Future<void> onKYCCompleted({
required LivenessDetectionResult liveness,
required DocumentScannerResult mainSide,
DocumentScannerResult? secondarySide,
}) async {
ApiResult response = await EkycIDServices.instance.ocr(
image: mainSide.documentImage,
objectType: mainSide.documentType
);
print(response.data?); // response object based on document type
}
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