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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Face Recognition SDK
- Broader capabilities
- Full control over user data
- Offline capabilities
- Unlimited usage
Start Your Free TrialLuxand FaceSDK is the best option since FaceSDK enables Microsoft Visual C++, C#, Objective C, Swift, Java, VB, Delphi and Python developers to build 32-bit and 64-bit applications for Web, Windows, Linux, macOS, iOS and Android.
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.
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
Law enforcement
How to try Luxand.cloud API?
Read a step-by-step guide on how to try out Luxand.cloud's face detection API.
Read Luxand.cloud Guide