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Face Recognition API for KYC

Know Your Customer (KYC) is a process businesses use to verify the identity and legitimacy of a customer before offering them services or conducting transactions. This helps prevent fraud, money laundering, and other illegal activities.

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Face Verification with Python

You can easily build a face verification application with Python or integrate this technology into an already-existing system with the help of the Luxand.cloud face verification API.
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Supported Certificates

iBeta stands as the premier biometrics testing company and a globally renowned quality assurance provider, offering industry certification and software testing services to companies worldwide.

In order to provide the best liveness detection solution, Luxand.cloud's liveness detection technology is certified and has passed Level 1 and Level 2 iBeta Presentation Attack Detection (PAD) conformance testing with a perfect PAD score.

Building Face Verification Applications with Python

Python's clear and concise syntax makes it a favorite for building face verification applications. Compared to other languages, its readability translates to a smoother learning curve, especially for beginners or those new to face verification. This translates into faster development cycles as well. Python code's maintainability allows for quicker experimentation and iteration.

Furthermore, Python applications boast cross-platform compatibility. They run seamlessly on various operating systems like Windows, macOS, and Linux without major code modifications. This is a significant advantage if you envision your face verification application being used on a variety of devices.

Face Verification Use Cases

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Buildings, data centers, and IT systems are examples of secure locations where access is authorized using facial verification. Additionally, it can be used to confirm someone's identity at checkpoints such as borders and airports.
Suspects, witnesses, and victims of crime can all be easily identified through facial verification. Crowd monitoring and individual tracking are also possible uses for it.
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Access control

In order to authenticate customers for mobile payments, online banking, and other financial transactions, facial verification is used. This can safeguard users' financial information and aid in the prevention of fraud.
Financial transactions

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Law enforcement

Luxand.cloud API Benefits

The system is perfect for high-throughput settings like airports, border crossings, and other security-sensitive locations because it can quickly evaluate massive amounts of data.
Its broad variety of integration capabilities enable Luxand.cloud API to be effortlessly tailored to meet the unique demands and specifications of enterprises and businesses of all sizes.
You can create your software or app using the Luxand.cloud face detection API for free! All users have 500 API calls each month; all you have to do is register.
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How KYC works
Automated KYC

KYC, the process of verifying customer identities, comes in two flavors: manual and automated. Though both follow a similar framework, they differ significantly in efficiency and execution. With stricter regulations and rising demands, businesses must carefully consider which approach best suits their needs.

With Luxand.cloud facial recognition API you can build automated KYC. It will help you enhance customer experience, reduce costs, increase efficiency, and minimize the risk of mistakes.

Manual KYC

By eliminating manual work and repetitive tasks, automated KYC delivers major cost savings through streamlined processes and reduced resource needs.

A verified user of the A company wants to register with a partner.

Manual KYC relies on human expertise to validate customer identities and collect vital information. This hands-on approach is popular, particularly for smaller businesses where personalized verification might be adequate. However, manual KYC is time-consuming and expensive.

Luxand.cloud face recognition API is a powerful and efficient solution to streamline your KYC processes. Our API utilizes advanced AI technology to accurately identify and verify individuals based on their facial features. This eliminates the need for manual document review, reducing processing time and costs while enhancing security.

  • Speed and Accuracy

    Instantly verify identities in real-time with unmatched precision, thanks to powerful facial recognition algorithms.

  • Convenience

    Automate your entire KYC process, freeing up time and resources for other tasks.

  • Enhanced Security

    Protect your business from fraud and unauthorized access with a robust and secure solution.

  • Cost-Effectiveness

    Reduce manual verification costs and scale your KYC processes efficiently.

  • Global Reach

    Support different facial features

Data driven. Results defined
  • 80%

    reduction in fraudulent transactions with automated KYC

  • 50%

    faster onboarding times with automated KYC

  • $3 billion

    annual cost savings for financial institutions due to automated KYC

  • 1-3 seconds

    average time for passive liveness detection verification, ensuring a smooth user experience.

  • 30%

    decrease in manual review workload for KYC teams due to automated face recognition systems.