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A Multimode Neuromorphic Vision Sensor With Improved Brightness Measurement Performance by Pulse Coding Method

delete2024-02-15
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PRE
AI
Z
Zewei Ding
Q
Qijuan Wu
M
Mingyu Wang
刘晶晶 cover
刘晶晶 (Jingjing Liu) *
X
Xiaoyang Zeng
W
Wenhong Li
W
Wei Huang
Z
Zhi Liu
X
Xiao–Ping Zhang
DOI:10.1109/JIOT.2023.3311019delete
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Abstract

Abstract

En 中文
This article proposes a multimode neuromorphic event-frame integrated vision sensor that enables event detection (ED) with simultaneous brightness measurement based on the pulse width modulation mechanism. The logarithmic voltage is directly taken as intensity information. Brightness measurement involves in-pixel voltage-to-pulse conversion and out-pixel pulse coding. The maximum event bandwidth is improved to 366 Meps by pipelining the time-prior arbiter along with the address-events grouping circuit. A wide intensity dynamic range of 105 dB can theoretically be achieved through logarithmic photoelectric conversion and pulse coding. Our sensor supports a 128x64 frame-like image with an improved signal-to-noise ratio of 49 dB. The experimental results indicate that the log sensitivity of the optimized logarithmic photoreceptor was measured as 164 mV/dec. The equivalent frame rate for both event and intensity reaches kilo fps, making it a promising candidate in high-speed wireless sensing applications.
Keywords:
Equivalent frame rate
event detection (ED)
intensity measurement (IM)
pulse coding
wide dynamic range

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

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T
Toronto Metropolitan University
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F
fudan university
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S
shandong university
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