| 講演抄録/キーワード |
| 講演名 |
2022-08-10 15:15
[招待講演]A CMOS Image Sensor and an AI Accelerator for Realizing Edge-Computing-Based Surveillance Camera Systems Fukashi Morishita・○Norihito Kato・Satoshi Okubo・Takao Toi・Mitsuru Hiraki・Sugako Otani・Hideaki Abe・Yuji Shinohara・Hiroyuki Kondo(Renesas Electronics) SDM2022-52 ICD2022-20 |
| 抄録 |
(和) |
This paper presents a CMOS image sensor and an AI accelerator to realize surveillance camera systems based on edge computing. For CMOS image sensors to be used for surveillance, it is desirable that they are highly sensitive even in low illuminance. We propose a new timing shift ADC used in CMOS image sensors for improving high sensitivity performance. Our proposed ADC improves non-linearity characteristics under low illuminance by 63%. Achieving power-efficient edge computing is a challenge for the systems to be used widely in the surveillance camera market. We demonstrate that our proposed AI accelerator performs inference processing for object recognition with 1 TOPS/W. |
| (英) |
This paper presents a CMOS image sensor and an AI accelerator to realize surveillance camera systems based on edge computing. For CMOS image sensors to be used for surveillance, it is desirable that they are highly sensitive even in low illuminance. We propose a new timing shift ADC used in CMOS image sensors for improving high sensitivity performance. Our proposed ADC improves non-linearity characteristics under low illuminance by 63%. Achieving power-efficient edge computing is a challenge for the systems to be used widely in the surveillance camera market. We demonstrate that our proposed AI accelerator performs inference processing for object recognition with 1 TOPS/W. |
| キーワード |
(和) |
CMOSイメージセンサ / 監視カメラシステム / 低照度撮像 / AIアクセラレータ / エッジコンピューティング / / / |
| (英) |
CMOS image sensor / surveillance camera system / low light imaging / AI accelerator / edge computing / / / |
| 文献情報 |
信学技報, vol. 122, no. 149, ICD2022-20, pp. 83-86, 2022年8月. |
| 資料番号 |
ICD2022-20 |
| 発行日 |
2022-08-01 (SDM, ICD) |
| ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
SDM2022-52 ICD2022-20 |