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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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Facial Recognition with Python

With Luxand.cloud facial recognition API you can easily build a facial recognition application with Python or integrate this technology into an existing system.
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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 Facial Recognition Applications with Python

Python is the most popular programming language for building a face recognition application thanks to its syntax, which is renowned for its clarity, resembling natural language. This makes it an excellent choice for beginners venturing into face recognition. The code is easier to understand, maintain, and modify, allowing you to experiment and iterate quickly.

Plus, Python provides cross-platform compatibility. Python applications can run seamlessly on various operating systems (Windows, macOS, Linux) without extensive modifications. This is a major benefit if you envision your face recognition app being used on different devices.

Face Recognition Use Cases

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Facial recognition API is used for a variety of purposes, including access control, shoplifting prevention, and personalized and targeted promotions.
Face recognition API is used by gambling sites to stop account sharing, cheating, and other abuse. Furthermore, the technology used for age verification can offer another degree of security to thwart unwanted efforts.
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Facial recognition API is used by banks and other financial institutions to increase security and stop fraud. For instance, mobile banking apps can incorporate facial recognition API to provide an additional degree of protection for critical activities like bill payments and money transfers.

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Luxand.cloud API Benefits

Luxand.cloud provides well-written documentation, tutorials and blog articles that showcase specific use cases and implementation steps for different languages including Python.
Easy to use
You get 500 free API requests every month, so this allows you to try out the service or integrate into your small project.

At the core of Luxand.cloud's face recognition lies Machine Learning (ML), a subfield of AI. The API utilizes ML algorithms trained on massive datasets of faces. These algorithms can automatically extract unique features from a human face.
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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.