Intelligent Face Recognition on the Edge Computing using Neuromorphic Technology

Jae-Woo Kim, C. I. Nwakanma, Dong-Seong Kim, Jae-Min Lee
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Abstract

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.
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基于神经形态技术的边缘计算智能人脸识别
本文讨论了基于神经形态技术的智能边缘计算技术。Neuromorphic是一种使用纯硬件实现智能系统的技术,与传统的使用CPU或GPU硬件以软件方式实现智能系统的方法不同。本文利用Neurologic技术的设备之一NeuroEdge介绍了智能边缘计算技术,并通过人脸识别测试对其性能进行了验证。结果表明,使用NM500芯片等神经形态技术可以节省训练系统所需的时间,并且不会增加需要大量数据集进行有效训练的负担。
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