| Paper Abstract and Keywords |
| Presentation |
2024-06-07 13:15
Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka (Ritumeikan Univ), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices), Okura Syunsuke, Kota Yoshida (Ritumeikan Univ) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
For the coming Society 5.0, we propose an object detection system using a CMOS image sensor capable of extracting binary feature data in order to reduce power consumption of recognition systems. First, a lightweight deep neural network (DNN) for feature data is verified based on YOLOv7. Despite a decrease in object recognition accuracy of large objects (APL50) by only 4.6% compared to the YOLOv7 model for color images, the DNN parameters, FLOPs, and GPU power consumption are reduced by 66.1%, 76.7%, and 32.5%, respectively. Secondly, a CMOS image sensor capable of extracting binary feature data is proposed. Simulation results demonstrate that, while the APL50 is reduced by 23.1% compared to RGB color images, the image sensor output data is reduced by 99.4% with run-length encoding. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CMOS image sensor / feature extraction / object detection / data reduction / Run Length Encoding / / / |
| Reference Info. |
ITE Tech. Rep., vol. 48, no. 17, IST2024-27, pp. 23-28, June 2024. |
| Paper # |
IST2024-27 |
| Date of Issue |
2024-05-30 (IST, ME) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
ME IST IEICE-BioX IEICE-SIP IEICE-MI IEICE-IE |
| Conference Date |
2024-06-06 - 2024-06-07 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nigata University (Ekinan-Campus "TOKIMATE") |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
IST |
| Conference Code |
2024-06-ME-IST-BioX-SIP-MI-IE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor |
| Sub Title (in English) |
|
| Keyword(1) |
CMOS image sensor |
| Keyword(2) |
feature extraction |
| Keyword(3) |
object detection |
| Keyword(4) |
data reduction |
| Keyword(5) |
Run Length Encoding |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Keiichiro Kuroda |
| 1st Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 2nd Author's Name |
Yudai Morikaku |
| 2nd Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 3rd Author's Name |
Yu Osuka |
| 3rd Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 4th Author's Name |
Ryuichi Ujiie |
| 4th Author's Affiliation |
Nisshinbo Micro Devices Inc. (Nisshinbo Micro Devices) |
| 5th Author's Name |
Daisuke Morikawa |
| 5th Author's Affiliation |
Nisshinbo Micro Devices Inc. (Nisshinbo Micro Devices) |
| 6th Author's Name |
Hideki Shima |
| 6th Author's Affiliation |
Nisshinbo Micro Devices Inc. (Nisshinbo Micro Devices) |
| 7th Author's Name |
Okura Syunsuke |
| 7th Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 8th Author's Name |
Kota Yoshida |
| 8th Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
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| Speaker |
Author-1 |
| Date Time |
2024-06-07 13:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
IST |
| Paper # |
IST2024-27, ME2024-52 |
| Volume (vol) |
vol.48 |
| Number (no) |
no.17 |
| Page |
pp.23-28 |
| #Pages |
6 |
| Date of Issue |
2024-05-30 (IST, ME) |