Design of an Always-On Image Sensor Using an Analog Lightweight Convolutional Neural Network

Design of an Always-On Image Sensor Using an Analog Lightweight Convolutional Neural Network

This paper presents an always-on Complementary Metal Oxide Semiconductor (CMOS) image sensor (CIS) using an analog convolutional neural network for image classification in mobile applications. To reduce the power consumption as well as the overall processing time, we propose analog convolution circu...

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Bibliografiska uppgifter
Huvudupphovsmän: Jaihyuk Choi, Sungjae Lee, Youngdoo Son, Soo Youn Kim
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2020-05-01
Serie:Sensors
Ämnen:
always-on
Complementary Metal Oxide Semiconductor (CMOS) image sensor
convolutional neural networks
image classification
Länkar:https://www.mdpi.com/1424-8220/20/11/3101

Internet

https://www.mdpi.com/1424-8220/20/11/3101

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