| Paper Abstract and Keywords |
| Presentation |
2021-08-17 14:20
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (2)
-- An A/D Converter with Low-Resolution and Power-Saving Operation Mode --
Koshiro Itsuki, Shunsuke Okura (Ritsumeikan Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
With the progress of the IoT and the Trillion Sensor Universe，the amount of information collected by CMOS image sensors is expected to increase，and an image processing method that does not rely on humans is required. Image recognition based on deep learning is expected to be an effective means to process this big data. However， the amount of information in images captured by conventional image sensors is too redundant for the image recognition system. In this paper， we suppose an image sensor which can output conventional images and feature image. For the image sensor, a SAR A/D converter that
converts the pixel output signal into 10 bit digital signal during the normal image capturing and into 5 bit digital signal with lower power consumption during the feature extraction image capturing is proposed, because the image recognition system can classify an image with low bit resolution. The proposed circuit is verified with SPICE simulation and a test chip is fabricated. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CMOS image sensor / big data / Trillion Sensor Universe / Deep learning / Image recognition / Low Power Consumption / A/D converter / |
| Reference Info. |
ITE Tech. Rep., vol. 45, no. 21, IST2021-44, pp. 35-40, Aug. 2021. |
| Paper # |
IST2021-44 |
| Date of Issue |
2021-08-10 (IST) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IEICE-SDM IEICE-ICD IST |
| Conference Date |
2021-08-17 - 2021-08-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Analog, Mixed Analog and Digital, RF, and Sensor Interface, Low Voltage/Low Power Techniques, Novel Devices/Circuits, and the Applications |
| Paper Information |
| Registration To |
IST |
| Conference Code |
2021-08-SDM-ICD-IST |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (2) |
| Sub Title (in English) |
An A/D Converter with Low-Resolution and Power-Saving Operation Mode |
| Keyword(1) |
CMOS image sensor |
| Keyword(2) |
big data |
| Keyword(3) |
Trillion Sensor Universe |
| Keyword(4) |
Deep learning |
| Keyword(5) |
Image recognition |
| Keyword(6) |
Low Power Consumption |
| Keyword(7) |
A/D converter |
| Keyword(8) |
|
| 1st Author's Name |
Koshiro Itsuki |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name |
Shunsuke Okura |
| 2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-08-17 14:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
IST |
| Paper # |
IST2021-44 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.21 |
| Page |
pp.35-40 |
| #Pages |
6 |
| Date of Issue |
2021-08-10 (IST) |