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Itseez3D, a software development company specialized in computer vision and 3D sensing technologies, recently unveiled its latest product – the Avatar SDK deep fake detector. It allowing companies to verify a person’s identity more accurately and quickly using facial recognition technology.

With this new Avatar SDK, Itseez3D provides companies with the ability to identify an individual using a real-time 3D biometric scan of their face. This is an accurate and reliable way to authenticate a user’s biometric information without having to use traditional methods such as a picture identification or personal details.

The Avatar SDK was specifically designed to identify deep fake impersonators. A deep fake is a computer-generated video or image that appears to resemble a real person. It has become a common tool that criminals are using to bypass biometric authentication processes. Itseez3D’s Avatar SDK was created to detect when an impersonator is trying to pass off a deep fake as themselves.

The Avatar SDK uses an artificial intelligence algorithm to generate a distinctive facial signature. This signature can then be compared to a person’s actual facial biometrics for more accuracy in their identification. The SDK also applies facial motion tracking which captured more than 2,000 key points of facial movement and compares that with a person’s live 3D biometric scan to increase the accuracy of the identification process.

By introducing the Avatar SDK, Itseez3D is hoping to enhance the security of user identity protection. Organizations that adopt the Avatar SDK will be able to verify the identity of a user more accurately and quickly. It can also be used to reduce the risk of identity fraud and protect users from criminals attempting to bypass biometric authentication.

The Avatar SDK is currently undergoing a closed-beta test and Itseez3D plans to officially launch the SDK in a few months. The company hopes that the new product will help provide an extra layer of security to user identity protection.