Our Facial Recognition Solutions utilize revolutionary HNeT (Holographic Quantum Neural Technology) technology. This technology applies the power of digital holography within synthetic neuron cells. Assemblies comprised of such cells have a one-to-one correspondence with the primary cell structures of the brain. These structures provide the capability for truly real-time learning, and present a vast increase in (stimulus-response) memory storage capacity.
To provide a practical example, a cell assembly can locate and track human faces in real time. A cell assembly can learn facial images in real time, building within its memory all observed forms of an individual, and subsequently identify that individual within a crowd, even determine facial expression such as smiling or frowning, etc. This application is at the upper limit of technological capability when employing traditional methods.
Application of the basic two-cell "cerebellar" model reduces the above task to a rather straightforward procedure. The HNeT technology is not limited to face tracking / identification, but may be similarly applied to numerous areas within the medical sector, process control, automation, defense, financial, etc.
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