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An Intelligent CMOS Image Sensor with a Deep Learning Algorithm for Smart Internet of Things
- Authors
- Jin, Minhyun; Park, Keunyeol; Song, Minkyu
- Issue Date
- Jun-2019
- Publisher
- IEEE
- Keywords
- intelligent and self-working CMOS image sensor; smart Internet of Things (IoT); deep learning algorithm; a variable pixel recognition algorithm
- Citation
- 2019 34TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2019), pp 551 - 552
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- 2019 34TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2019)
- Start Page
- 551
- End Page
- 552
- Abstract
- 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.
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Related Researcher
- Song, Min Kyu
- College of Advanced Convergence Engineering (Division of System Semiconductor)