Download software tagged by biometric recognition

Real-time biometric face recognition and pedestrian/vehicle tracking SDK for viodeo surveillance systems and networks. Automatic identification against watch list. Vehicle make and model estimation. Pedestrian mask, cloth and gender estimation.

Real-time biometric face recognition and pedestrian/vehicle tracking SDK for surveillance systems and networks. Supports up to 10 cameras on one PC. Automatic identification against watch list, gender/emotions detection. See: youtu.be/Jpt5jE5rwCQ

VeriLook Standard SDK. It allows rapid development of the biometric application for any camera or web cam. High reliability of the face identification, 1:1 and 1:N matching modes, multiple faces' processing, comparison speed 80, 000 faces/second.

VeriLook Standard SDK. It allows rapid development of the biometric application for any camera or web cam. High reliability of the face identification, 1:1 and 1:N matching modes, multiple faces' processing, comparison speed 80, 000 faces/second.

The GSA Image Analyser is a program to analyse 2D Images of any kind. It can recognize and count objects in an image or also calculate the distance areas in it. The images can be imported from many sources (file, scanner, microscope, cam).

Huella Dactilar SDK allows you to integrate fingerprint recognition technology in various types of applications with just four lines of code.

Real-time precision face recognition and identification SDK for C++, C#, Objective C, VB, Java and Delphi. FaceSDK enables developers to build web, Windows, Linux, MacOS X, iOS and Android applications with face recognition functionality.

Real-time precision face recognition and identification SDK for C++, C#, Objective C, Swift, Java, VB, Delphi, Python. FaceSDK enables developers to build web, Windows, Linux, MacOS X, iOS and Android applications with face recognition functionality.

Real-time precision face recognition and identification SDK for C++, C#, Objective C, VB, Java and Delphi. FaceSDK enables developers to build web, Windows, Linux, MacOS X, iOS and Android applications with face recognition functionality.