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.
Python is the most popular language among developers for building liveness detection apps. Python's simple syntax and vast ecosystem of libraries make it ideal for rapid prototyping. You can quickly experiment with different liveness detection techniques and algorithms before diving into full-fledged development.
Moreover, Python programs have cross-platform interoperability. Without requiring significant code changes, they function flawlessly on a variety of operating systems, including Windows, macOS, and Linux. If you want your face verification software to be used across multiple platforms, this is a big benefit.