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Neurotechnology's distributors:
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Neurotechnology's distributors:
Argentina Brazil China Colombia Ecuador India Indonesia Italy Japan Korea Mexico Netherlands Pakistan South_Africa Spain Taiwan UK USA Venezuela |
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Embedded face recognition summary Content of this page:OverviewLike fingerprint recognition, human face-based biometrical identification is becoming increasingly popular. Facial recognition is used in systems that control access to physical locations, computer/network resources, bank accounts, or register employee attendance time in enterprises. Many of these applications can run on a PC. However some applications require that the system be implemented on low cost, compact and/or mobile embedded devices such as cell phones, handheld PCs, door or gate locks, etc. In comparison with fingerprints, facial recognition in embedded devices can be even more practical in many situations and more comfortable for the user because no physical contact with the device is required. PDAs, smart phones and other compact devices with integrated cameras and the ability to add custom software are available in the market, enabling the implementation of embedded facial recognition technology without additional hardware development. The facial recognition algorithm for embedded systems requires some specific features in comparison with PC-based face identification. Embedded or handheld devices usually have weaker processors than personal computers. The PC-based face image detection and template extraction software is computationally expensive; therefore substantial algorithm modification is required to achieve acceptable template extraction time on the embedded device. Having the ability to create a mixed embedded/PC and/or multi-biometric face/fingerprint identification system by integrating several technologies is an important advantage. Using a combination of biometric technologies allows implementation of systems with higher levels of security and reliability, as well as achieving higher matching speeds even when using very large databases. The technologyNeurotechnology offers the FaceCell embedded facial recognition technology, developed on the VeriLook basis, but having about 3 times faster image processing and feature extraction algorithm. The FaceCell includes these proprietary algorithmic solutions:
Algorithm demo application is available for downloading. Read more about the technology. The EDK (Embedded Development Kit)FaceCell 1.1 EDK is based on the FaceCell technology, and is intended for embedded biometric systems developers and integrators. The EDK includes libraries for major operating systems and embedded platforms, and programming sample applications with source codes. The FaceCell ANSI C source code package could be also obtained to port the software to another platforms. The following types of EDK are available:
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