Neural network technology and performing tasks of pattern recognition
The overall concept of pattern recognition is based on three main components:
► A sensor of perception (Camera, microphone, and other types suitable for application contexts: EEG, ECG, magnetic fields, …)
► A mixed architecture, Von Neumann (or Harvard) and Neural for data acquisition, processing and sorting information, decision-making.
► Inputs/Outputs in order to customize the board and to interact easily with external systems.