A Charge‐Coupled Phototransistor Enabling Synchronous Dynamic and Static Image Detection

Emerging machine vision applications require efficient detection of both dynamic events and static grayscale information within visual scenes. Current dynamic vision and active pixel sensors (DAVIS) technology integrates event-driven vision sensors and active pixel sensors within single pixels. However, the complex multi-component pixel architecture, typically requiring 15-50 transistors, limits integration density, increases power consumption, and complicates clock synchronization. Here, a charge-coupled phototransistor is presented that uses dual photosensitive capacitors to provide gate voltage to a single transistor channel, enabling simultaneous capture of dynamic and static information, surpassing existing DAVIS technology. Under illumination, both top and bottom gates generate photogenerated electrons through a charge-coupling effect; electrons in the top gate are blocked by a thick dielectric layer, producing a stable current change for static grayscale detection, while electrons in the bottom gate tunnel through a thin dielectric layer, creating transient current spikes for dynamic event detection. This device demonstrates a dynamic range of 120 dB and a response time of 15 µs, comparable to traditional DAVIS pixels, while significantly reducing power consumption to 10 pW and overcoming clock synchronization issues. This charge-coupled phototransistor paves the way for the development of high-performance, low-power, and highly integrated machine vision technology.

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Publication Details

Journal
Advanced Materials
Published
2025-04-14
DOI
https://doi.org/10.1002/adma.202417675
Citations
7
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.11

Funders

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article

A Charge‐Coupled Phototransistor Enabling Synchronous Dynamic and Static Image Detection

Dongming Sun, Tonglei Cheng, Ruyue Han, Zheng Han et al.
7 citations
Advanced Materials
Advanced Memory and Neural Computing
5.11
article

A Charge‐Coupled Phototransistor Enabling Synchronous Dynamic and Static Image Detection

Dongming Sun, Tonglei Cheng, Ruyue Han, Zheng Han, Yuping Gao, Guoteng Zhang, Yun Sun, Dayu Jia, Bo Li, Hui–Ming Cheng, Xi Zhu, Chuang Li, Chi Liu, Shun Feng
article en
7 citations

Abstract

Emerging machine vision applications require efficient detection of both dynamic events and static grayscale information within visual scenes. Current dynamic vision and active pixel sensors (DAVIS) technology integrates event-driven vision sensors and active pixel sensors within single pixels. However, the complex multi-component pixel architecture, typically requiring 15-50 transistors, limits integration density, increases power consumption, and complicates clock synchronization. Here, a charge-coupled phototransistor is presented that uses dual photosensitive capacitors to provide gate voltage to a single transistor channel, enabling simultaneous capture of dynamic and static information, surpassing existing DAVIS technology. Under illumination, both top and bottom gates generate photogenerated electrons through a charge-coupling effect; electrons in the top gate are blocked by a thick dielectric layer, producing a stable current change for static grayscale detection, while electrons in the bottom gate tunnel through a thin dielectric layer, creating transient current spikes for dynamic event detection. This device demonstrates a dynamic range of 120 dB and a response time of 15 µs, comparable to traditional DAVIS pixels, while significantly reducing power consumption to 10 pW and overcoming clock synchronization issues. This charge-coupled phototransistor paves the way for the development of high-performance, low-power, and highly integrated machine vision technology.

Advanced MaterialsVol. 37(24)
Liaoning University (CN), University of Science and Technology of China (CN), Shanxi University (CN), Chinese Academy of Sciences (CN), ShanghaiTech University (CN), Shenzhen Institutes of Advanced Technology (CN), State Key Laboratory of Synthetical Automation for Process Industries, State Key Laboratory of Quantum Optics and Quantum Optics Devices, Northeastern University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 5%
Advanced Memory and Neural Computing
5.11
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