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Face Verification
For

AI-based KYC system for secure and seamless customer verification.

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Trusted by companies all over the world

BCAMaybankBank JatimT-MoneyHiro GroupFlash CoffeeKemnakerBumameRumah Sakit PIKMitra KeluargaAgung SedayuBoboboxRukitaStaffincMIFXNanovestUpbanxDHLShipperBukalapakErhaMinisoSarinahBCA MultifinanceModal RakyatXfersAkar Inti DataAyoconnectDetikKominfoHacktiv8NoicePrivyAdinsFWD BCAMaybankBank JatimT-MoneyHiro GroupFlash CoffeeKemnakerBumameRumah Sakit PIKMitra KeluargaAgung SedayuBoboboxRukitaStaffincMIFXNanovestUpbanxDHLShipperBukalapakErhaMinisoSarinahBCA MultifinanceModal RakyatXfersAkar Inti DataAyoconnectDetikKominfoHacktiv8NoicePrivyAdinsFWD

Why Face Recognition is
The Right Choice?

Unlimited
Accessories Detection

Can detect users who are wearing head accessories such as glasses, hats, and others

Unlimited <br /><span class="text-blue-500">Accessories Detection</span>

Available in
API & SDK format

Available in API & SDK format, for you to implement our technology on your website or application easily.

Available in <br /><span class="text-blue-500">API & SDK</span> format

ISO 27001 Certified

Data security is guaranteed with international standards for maximum protection.

<span class="text-blue-500">ISO 27001</span> Certified

NIST FRTE 1:1 & 1:N
Certified

Accurate verification of 99.95% in LFW, the fastest and most accurate in Indonesia.

<span class="text-blue-500">NIST FRTE 1:1 & 1:N</span><br /> Certified
<span class="text-blue-500">Liveness Detection</span><br /> Integration Support

Liveness Detection
Integration Support

Combining two technologies to ensure that the user is a human, not a mask or other act of digital identity falsification.

Can Detect <span class="text-blue-500">Low Quality Images</span>

Can Detect Low Quality Images

Our system can detect faces with blur quality, lighting that is too dark for maximum image results.

How Face Recognition works

Users capture their face through a device camera or upload an image for verification.
Analyzes the authenticity of the face sent by the user with face recognition.
In seconds, the system provides the result “Verified” or “Not Verified”.
Face Image Capture

Application of Face Recognition
in Various Business Segments

Bank/non-bank financial sector
Bank/non-bank financial sector
Biometric verification is used when a customer wants to register and also apply for a loan by entering personal data which will be processed by Fintech/Bank.
Office and Educational Institutions
Office and Educational Institutions
Employees can take attendance by detecting faces directly and comparing faces in the database to prevent fraud in the attendance process.

Usage Scenarios

Onboarding Process

Facial Recognition for Customer Verification and Identification

Our facial recognition helps verify and identify your customers by scanning users facial patterns when they sign up or register.
Attendance System

Accurate Attendance Verification System

Replacing manual methods such as conventional registration, our facial recognition will compare faces directly with their attendance records, reducing the possibility of false attendance.
Payment System

Facial Verification for Safe and Fast Digital Payments

Our facial recognition will be integrated into your digital payment system, and once the user's identity is confirmed, they can make transactions safely and quickly without the need for a physical card or password.
Access Control System

Robust Authentication for Secure Access

Our Face Recognition is used as a robust authentication method to grant and deny access to restricted areas. First of all, users need to register their faces into the system, and when they want to enter a restricted area, simply display their face on the Face Recognition device (hardware).

Frequently Asked Questions (FAQ)

Face Recognition is an AI-based biometric technology that can match faces with databases quickly, accurately, and securely. This solution is designed to meet the digital identity verification needs of companies in various industries.

The AI face recognition system scans facial features such as eyes, nose, lips, and micro-facial structure. This data is then compared with the biometric database to produce a fast and accurate facial authentication process.

By using the Verihubs face recognition API, companies can speed up the identity verification process, reduce fraud risks, and improve user experience on digital applications.

Manual verification is prone to human error and time-consuming. On the other hand, AI face recognition works automatically with high accuracy, efficiency, and ability to process data on a large scale.

The biometric face verification technology Verihubs has an accuracy rate of over 99%, including in differentiating between real and fake faces.

Yes. With the face recognition API, companies can add secure login features to mobile and website applications to improve user access security.

Yes. Face recognition for attendance allows companies to manage biometric attendance systems more easily, without a card or fingerprint.

Yes. Face recognition Verihubs can process thousands of face data in a short time, suitable for mass verification in an enterprise scale.

This technology is needed in various sectors: fintech, banking, e-commerce, HR, education, transportation, and government. All businesses that need digital KYC and fraud prevention will be greatly helped.

With AI-powered face recognition, the system analyzes the micro-facial structure to the level, making it possible to differentiate between identical twins.

Yes. Face recognition Verihubs supports online and offline modes, according to the needs of the company, making it more flexible.

Integration is very easy with the Verihubs face recognition API or SDK, which can be directly installed on the application or business system without affecting the existing infrastructure.

Face recognition AI is more practical because it only needs a camera, without additional equipment such as a fingerprint scanner, making it more efficient and cost-effective to implement.

Yes. Face recognition for KYC is very ideal to strengthen the digital onboarding process, so identity verification is more secure, fast, and compliant with regulations.

Yes. With the combination of face liveness detection and anti-spoofing technology, the system can recognize efforts to fake using photos, videos, or 3D masks.

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