KYC
KYC
Learn more
Document verification
Checking documents in real time. We verify the authenticity and validity of the document and verify the user`s personal data.
AML check
In accordance with the requirements of the Law on the Prevention of Money Laundering and Terrorist Financing, we check the funds and their origin.
Face check
Identity verification using facial recognition. We confirm that the client`s selfies match the photo in his documents.
Address verification
We confirm the accommodation using an official document, such as a utility bill or bank statements, comparing them with the address provided by the customer.
Checking financial viability
Verification of documents issued by financial institutions or a lawyer confirming the client`s trustworthiness.
Video confirmation
Identity verification via video call. We confirm that the client wants to undergo verification and that the documents provided belong to him.
Try AMLKYC, where you can test biometrics technology online.
You will need to give permission to use it.
It`s selfie time!
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Good lighting.
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No accessories: glasses, masks, hats, etc.
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Camera at eye level.
Try again!
But please follow the recommendations:
The ambient lighting is neither too bright nor too dark, and there are no shadows or glare on your face
landing.livness_letrecommend2
The camera is unavailable!
Allow access to the camera and restart the page to continue.
Источники
Загрузить или перетащить фотографии
Сценарий
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Age20-26 years old
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EyeRightopen 1.00
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EyeLeftopen 1.00
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Emotionemotional 0.96
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Smileyes 1.00
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Glassesno 1.00
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HeadCoveringno 1.00
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ForeheadCoveringno 0.95
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Mouthopen 1.00
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MedicalMaskno 1.00
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Occlusionno 0.99
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StrongMakeupno 1.00
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Headphonesno 1.00
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Age20-26 years old
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EyeRightopen 1.00
-
EyeLeftopen 1.00
-
Emotionemotional 0.96
-
Smileyes 1.00
-
Glassesno 1.00
-
HeadCoveringno 1.00
-
ForeheadCoveringno 0.95
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Mouthopen 1.00
-
MedicalMaskno 1.00
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Occlusionno 0.99
-
StrongMakeupno 1.00
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Headphonesno 1.00
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Age20-26 years old
-
EyeRightopen 1.00
-
EyeLeftopen 1.00
-
Emotionemotional 0.96
-
Smileyes 1.00
-
Glassesno 1.00
-
HeadCoveringno 1.00
-
ForeheadCoveringno 0.95
-
Mouthopen 1.00
-
MedicalMaskno 1.00
-
Occlusionno 0.99
-
StrongMakeupno 1.00
-
Headphonesno 1.00
-
Age20-26 years old
-
EyeRightopen 1.00
-
EyeLeftopen 1.00
-
Emotionemotional 0.96
-
Smileyes 1.00
-
Glassesno 1.00
-
HeadCoveringno 1.00
-
ForeheadCoveringno 0.95
-
Mouthopen 1.00
-
MedicalMaskno 1.00
-
Occlusionno 0.99
-
StrongMakeupno 1.00
-
Headphonesno 1.00
-
Age20-26 years old
-
EyeRightopen 1.00
-
EyeLeftopen 1.00
-
Emotionemotional 0.96
-
Smileyes 1.00
-
Glassesno 1.00
-
HeadCoveringno 1.00
-
ForeheadCoveringno 0.95
-
Mouthopen 1.00
-
MedicalMaskno 1.00
-
Occlusionno 0.99
-
StrongMakeupno 1.00
-
Headphonesno 1.00
Источники 1
Загрузить или перетащить фотографии
Источники 2
Загрузить или перетащить фотографии
Источники
Загрузить или перетащить фотографии
Сценарий
Compliant
All parameters successfully
The image width, pixels.
Expected range: 480 — 10000
The image height, pixels.
Expected range: 640 — 10000
The image width to height proportion, relative.
Expected range: 0.74 — 0.8
The image RGB channels number.
Expected range: 3
Whether the face in the image is a photo, not a drawing, sculpture, cartoon, etc.
Expected range: 0 — 0.5
The position of the 'middle point' (the middle of the line connecting the eye centres) relative to the width of the image.
Expected range: 0.45 — 0.55
The position of the 'middle point' (the middle of the line connecting the eye centres) relative to the height of the image.
Expected range: 0.3 — 0.5
The head width to the image width ratio, relative.
Expected range: 0.5 — 0.75
The head height to the image height ratio, relative.
Expected range: 0.5 — 0.75
Inter-eye distance - the length of the line connecting the eye centres, pixels.
Expected range: 90 — 10000
The yaw of the head, degrees.
Expected range: -5 — 5
The pitch of the head, degrees.
Expected range: -8 — 8
The roll of the head, degrees.
Expected range: -5 — 5
The image blur level.
Expected range: 0 — 0.15
The image noise level.
Expected range: 0 — 0.2
The range of tonal difference between the lightest light and darkest dark of an image, bits.
Expected range: 7 — 8
The true-colour representation of the skin colour.
Expected range: 0 — 0.5
Whether the right eye is closed.
Expected range: 0 — 0.5
Whether the left eye is closed.
Expected range: 0 — 0.5
Whether the right eye is occluded.
Expected range: 0 — 0.5
Whether the left eye is occluded.
Expected range: 0 — 0.5
Whether there is the red-eye effect.
Expected range: 0 — 0.5
Whether the right eye is covered with hair.
Expected range: 0 — 0.05
Whether the left eye is covered with hair.
Expected range: 0 — 0.05
Whether the person is not looking directly at the camera.
Expected range: 0 — 0.4
Whether the photo is too dark.
Expected range: 0 — 0.38
Whether the photo is overexposed.
Expected range: 0 — 0.5
Whether there is glare on the face.
Expected range: 0 — 0.5
Whether there are shadows on the face.
Expected range: 0 — 0.5
Checks the symmetry of the shoulders.
Expected range: 0.6 — 1
Checks the presence of any emotional facial expression.
Expected range: 0 — 0.84
Whether the mouth is open.
Expected range: 0 — 0.5
Whether the person smiles.
Expected range: 0 — 0.5
Whether the person wears dark glasses.
Expected range: 0 — 0.5
Whether there are reflections on glasses.
Expected range: 0 — 0.5
Whether the glasses frames do not obscure eye details and the irises of both eyes are visible.
Expected range: 0 — 6
Whether the face is visible and not occluded.
Expected range: 0 — 0.06
Whether there is any head coverange other than religious headwear.
Expected range: 0 — 0.5
Whether the forehead is covered.
Expected range: 0 — 0.5
Whether the makeup is too strong.
Expected range: 0 — 0.5
Whether the person is wearing headphones.
Expected range: 0 — 0.5
Checks uniformity of the portrait background.
Expected range: 0.9 — 1
Whether there are shadows on the portrait background.
Expected range: 0.9 — 1
The number of faces on the photo.
Expected range: 1
Integration into your workflow
Mobile
- iOS
- Android
- Ionic
- Cordova
- Flutter
- .NET MAUI
- React Native
Web
- Storybook
- JavaScript
- C#
- Java
- Components
- Python
What makes the AMLKYC Face SDK different from other applications
Full protection
- Active and passive means of protection against biometric fraud: printed photo, digital device, mask, video replay, video injections and others
- Face matching in a 1:1 ratio and identification (search) in a 1:N ratio
- Advanced search for face attributes (emotions, hats, glasses, masks, etc.)
- Age determination
Perfect user interface
- Unlimited scalability to meet performance requirements
- The ability to work in almost any light
- More than 30 languages for localization of the user interface out of the box
- Customizable user interface and registration process
Cross-platform solution
- Mobile and web implementation is available; iOS/Android/cross-platform platforms for mobile components
- Ready to launch on Kubernetes /Linux/Windows
- Full documentation is available
- Built-in integration with the AMLKYC Document Reader SDK
Secure registration
- Predefined profiles that meet the standards and requirements of ICAO, USA, Schengen visa, or user profile
- 45 configurable image quality parameters: for example, head size and position, posture and facial expression, occlusion, unsuitable objects, etc.
