A Two-Step Processing in CMOS Image Sensor Architecture

The Processing-in-Sensor (PIS) architecture, which shifts computing capabilities to the sensing end, is proposed to address the communication bottleneck encountered when transmitting data from CMOS image sensors to terminal hosts. Existing solutions often suffer from high structural complexity and insufficient computing speeds, negatively impacting overall performance. In this work, we introduce a PIS architecture that employs Two-Step Computing technology to streamline circuit design, thereby accelerating the sensing-computing process. The simplified architecture also results in significant reductions in power consumption, leading to enhanced computational efficiency. Simulation results demonstrate that our proposed architecture achieves an efficiency of 4.29 TOPS/W at 60 fps. Furthermore, we conducted an object detection task using the proposed PIS with a computer terminal, attaining a mean Average Precision (mAP) of 0.42, thus highlighting the effectiveness of our approach.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-06-11
DOI
https://doi.org/10.1109/jsen.2025.3577057
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.00

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article

A Two-Step Processing in CMOS Image Sensor Architecture

Yuanming Zhang, Qiutong Zhang, Kejie Huang
IEEE Sensors Journal
CCD and CMOS Imaging Sensors
article

A Two-Step Processing in CMOS Image Sensor Architecture

Yuanming Zhang, Qiutong Zhang, Kejie Huang
article en

Abstract

The Processing-in-Sensor (PIS) architecture, which shifts computing capabilities to the sensing end, is proposed to address the communication bottleneck encountered when transmitting data from CMOS image sensors to terminal hosts. Existing solutions often suffer from high structural complexity and insufficient computing speeds, negatively impacting overall performance. In this work, we introduce a PIS architecture that employs Two-Step Computing technology to streamline circuit design, thereby accelerating the sensing-computing process. The simplified architecture also results in significant reductions in power consumption, leading to enhanced computational efficiency. Simulation results demonstrate that our proposed architecture achieves an efficiency of 4.29 TOPS/W at 60 fps. Furthermore, we conducted an object detection task using the proposed PIS with a computer terminal, attaining a mean Average Precision (mAP) of 0.42, thus highlighting the effectiveness of our approach.

IEEE Sensors JournalVol. 25(14)
Zhejiang University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 89%
CCD and CMOS Imaging Sensors
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A Two-Step Processing in CMOS Image Sensor Architecture — Yuanming Zhang, Qiutong Zhang, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS