论文信息 - An Intelligent CMOS Image Sensor with a Deep Learning Algorithm for Smart Internet of Things

An Intelligent CMOS Image Sensor with a Deep Learning Algorithm for Smart Internet of Things

Recently, many kinds of tremendous requirements are needed for smart Internet of Things (IoT). Among them, an intelligent and self-working CMOS image sensor (CIS) is a key component to satisfy the specifications of smart IoT. In this paper, therefore, an intelligent CIS with a deep learning algorithm is discussed. With a deep learning and a variable pixel recognition algorithm, an intelligent CIS has been implemented. Even though a low resolution image is obtained, a high resolution image can be taken by the proposed deep learning algorithm. As well as the intelligent CIS chip has been fabricated with a 90nm Samsung CIS technology, the power consumption is extremely low by about 1.0mW with a VGA graphic mode.

Minkyu Song | Keunyeol Park | Minhyun Jin

[1] M.F. Snoeij,et al. A CMOS Imager With Column-Level ADC Using Dynamic Column Fixed-Pattern Noise Reduction , 2006, IEEE Journal of Solid-State Circuits.

[2] J.N. Burghartz,et al. High Dynamic Range CMOS Imager Technologies for Biomedical Applications , 2009, IEEE Journal of Solid-State Circuits.

[3] Dennis Sylvester,et al. A 0.45–0.7V sub-microwatt CMOS image sensor for ultra-low power applications , 2009, 2009 Symposium on VLSI Circuits.