Intelligent Face Recognition on the Edge Computing using Neuromorphic Technology

This paper discusses intelligent edge computing technology using neuromorphic technology. Neuromorphic is a technology that uses pure hardware to implement intelligent systems, unlike traditional methods of implementing intelligent systems in a software manner using CPU or GPU hardware. In this paper, intelligent edge computing technology was introduced using NeuroEdge, one of the devices using Neurologic technology, and the performance was verified through a face recognition test. Results showed that using neuromorphic technology such as the NM500 chip saves the time needed for training systems and does not impose the burden of requiring many datasets for effective training.

Automated summary

This paper discusses intelligent edge computing technology using neuromorphic technology, showcasing the performance through a face recognition test. Results demonstrate that neuromorphic technology, such as the NM500 chip, can reduce training time and does not require a large number of datasets for effective training.