New facial recognition kits released
Neurotechnologija, a provider of high-precision biometric identification technologies, has announced the availability of two biometric embedded development kits (EDK).
Neurotechnologija, a provider of high-precision biometric identification technologies, has announced the availability of two biometric embedded development kits (EDK).
FaceCell, the companys first EDK for development of facial recognition applications on embedded devices and FingerCell 2.0, a new version of their EDK for embedded fingerprint recognition. While developers can use either FaceCell or FingerCell independently, the two algorithms also have been developed to work seamlessly together using the same interface, enabling the creation of multi-biometrical embedded applications that run on a variety of systems and compact or mobile devices. Using both face and fingerprint recognition together provides a higher level of security and reliability and faster matching speeds, even when using very large databases.
FaceCell and FingerCell 2.0 are designed to be used in low cost, low power, compact and/or mobile embedded devices such as doors, entry gates, handheld PCs and mobile phones and they are compatible with Neurotechnologija`s recently announced VeriLook 3.0 facial recognition and VeriFinger 5.0 fingerprint recognition algorithms for easy integration in mixed PC-embedded systems.
Algimantas Malickas, CEO of Neurotechnologija said: Each of these products individually has tremendous potential for the development of embedded biometrical systems and used together they allow even more possibilities for applications that require a higher degree of security or for situations when a second identification method is needed, such as access control for disabled people or for manual workers whose fingerprints may be difficult to scan.
The FaceCell algorithm provides a high level of reliability with a fast matching speed of up to 3000 faces per second. It can be used in a wide range of applications and can be easily integrated into devices that have built-in video cameras, such as Pocket PCs and cell phones, without having to develop any special hardware.
Using facial recognition in embedded devices can be more practical in many situations and more comfortable for the user because he or she does not need physical contact with the device.
For a list of distributors visit www.neurotechnologija.com/distributors.html