Chapter 18: Neuromorphic vision networks for face recognition
Akshay Kumar Maana; Alex Jamesb aGriffith University, Brisbane, QLD, AustraliabIndian Institute of Information Technology and Management, Kerala, India
Abstract
This chapter proposes a new hardware-based implementation of real-time face-recognition application that is inspired by the cortical neuron firing in the human brain. The face-recognition method presented here can detect and store the most relevant data at the sensor. Then, in contrast to the software approaches, it uses the proposed memristive threshold logic network of reconfigurable cells to build a fast, robust, parallel and scalable architecture for storage and detection of most relevant pixel information. The main idea ...
Get Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.