Neuromorphic chip embedded electronic systems to expand artificial intelligence applications

© 2019 IEEE. Neuromorphic chips are electronic hardware mimicking neurons in human brain in an electronic structure. These ASICs (Application Specific Integrated Circuits) provide artificial neural networks with computational power comparatively higher than most neural networks generated by software algorithms. 'CM1K' is an electronic chip in this family of products. It has a parallel neural network of 1024 neurons. These neurons provide K-Nearest Neighbor (KNN) data classification. The chip requires to be embedded in an electronic system to access all its capabilities. This paper deliver a novel hardware system embedding CM1K neuromorphic chip. The system was implemented in image and video frame analysis for evaluation. The results prove that the system could benefit various applications including security, asset management, home appliances, mail sorting and manufacturing. Since the embedded system provide opportunity to integrate AI in to simple electronics, it helps on extending AI applications.