kyc-validation-flow-lib

This is a component developed in Angular to make it easier the integration with our services. The complete flow consists of Id-Recognition, Face-Recognition and Face-Liveness

ID Recognition Using OCR with AI

Optical Character Recognition (OCR) powered by Artificial Intelligence (AI) is revolutionizing the way IDs are recognized and processed. This technology allows for the automatic detection, identification, and verification of ID documents from various countries and formats.

Key Features:

• High Accuracy: AI algorithms continually learn from new data, improving the recognition accuracy over time.

• Speed: Processes ID documents in seconds, significantly reducing manual review time.

• Versatility: Capable of handling a wide range of ID types, including passports, driver's licenses, and national ID cards.

• Security: Implements robust security measures to protect sensitive information.

Applications:

• Financial Services: Streamlines account openings and financial transactions.

• Government and Public Sector: Enhances the efficiency of public services and identity verification processes.

• Hospitality and Travel: Improves customer experience through quick verification processes.

Face Recognition Using OCR with AI

Face recognition technology has made significant strides, integrating Optical Character Recognition (OCR) and Artificial Intelligence (AI) to enhance accuracy and efficiency. This integration enables systems not only to detect and recognize faces but also to interpret text-based content within images, facilitating a broad range of applications from security to data entry automation.

Key Components

• OCR Technology: Extracts textual data from images. When combined with face recognition, it can identify personal information from ID cards or documents.

• AI and Machine Learning: Refine face recognition algorithms, improving their ability to recognize faces under varying conditions and differentiating individuals in diverse populations.

Applications

• Security and Surveillance: Enhanced identification processes at airports, offices, and public spaces.

• Automated Data Entry: Streamlines processing ID cards, passports, and other documents for quick and accurate personal identification.

• Access Control: Secure entry systems for buildings or networks, ensuring only authorized individuals gain access.

Challenges and Considerations

• Privacy: Implementing these technologies must consider and respect individual privacy rights.

• Accuracy: Ensuring the AI is trained on diverse datasets to prevent bias and maintain high accuracy rates.

Integrating OCR with AI in face recognition offers vast prospects, yet requires continuous ethical and technological refinement to achieve its full potential safely and equitably.

Face Liveness Detection with OCR and AI

Integrating Optical Character Recognition (OCR) with Artificial Intelligence (AI) enhances security systems by ensuring that the entity attempting access is physically present. This approach, known as face liveness detection, is a paramount feature in preventing fraud and unauthorized access, especially in:

• Financial Transactions: Protecting against identity theft and ensuring that banking transactions are conducted by legitimate account holders.

• Remote Authentication: Crucial for online platforms to confirm the user's presence and identity, from e-learning portals to telehealth services.

• Legal and Governmental Processes: Assuring that critical actions, such as signing documents or accessing confidential records, are performed by the rightful person.

This innovative blend of OCR and AI not only secures systems against spoofing and impersonation but also upholds a seamless and user-friendly authentication process.

Diving into the component

Integrating the face liveness detection library into your Angular application can enhance your security measures by ensuring that the users are physically present and not using photographs or video recordings.

Getting Started

Installation

npm install kyc-validation-flow-lib --save

Usage

@NgModule({
  declarations: [
    AppComponent
  ],
    imports: [
        BrowserModule,
        AppRoutingModule,
        KycValidationFlowLibModule
    ],
  providers: [],
  bootstrap: [AppComponent]
})
export class AppModule { }

<kyc-validation-flow
  [authenticationRequest]="authenticationRequest"
  [reference]="78990000"
  [sandbox]="true"
  [origin]="https://www.your-website.com"
  channel="WEB"></kyc-validation-flow>

Models

export interface AuthenticationRequestModel {
    username: string;
    password: string;
    grant_type: string;
    client_id: string;
    client_secret: string;
}

Params

Name	Type	Description
reference	string	Your custom internal reference
channel	string	Your custom channel (WEB, MOBILE or any OTHER)
origin	string	Authorized origin url
authenticationRequest	AuthenticationRequestModel	Credentials request object

if desktop mode detected, a QR code will be shown to users so they can scan it and access to the wizard via mobile, otherwise a secured redirection channel will be made to the validation process.

In order to use this service, you must have your credentials and provide to us your origin url from where you plan to access to our services.