5.9 A 0.8V Multimode Vision Sensor for Motion and Saliency Detection with Ping-Pong PWM Pixel

Hsu, Tzu-Hsiang; Chen, Yen-Kai; Jun-shen, WU; Ting, Wen-Chien; Wang, Cheng-Te; Yeh, Chen-Fu; Sie, Syuan-Hao; Chen, Yiren; Liu, Ren-Shuo; Lo, Chung-Chuan; Tang, Kea-Tiong; Chang, Meng-Fan; Hsieh, Chih-Cheng

doi:10.1109/isscc19947.2020.9062926

Cited by 20 publications

(12 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this regard, in Tab. V we compared the estimated energy efficiency of this work with that one of [5] by adopting the proposed FOM (9). Although [5] has lower sensor's FOM, both in MD and IM, the proposed sensor exhibits about 7 times better energy performance in a noisy outdoor scenario.…”

Section: Discussionmentioning

confidence: 99%

“…The number of hot-pixels generated by FD and BS is much larger than that of DT-DBS. Referring to the estimated energy per frame, reported in Table V, (9) defines the figure of merit quantifying the energy efficiency of an event-based vision system. The proposed FOM takes into account the sensor's energy per frame in the two operating modes (MD, IM) as well as the energy per frame associated to the external processor (Sleep and Active Modes) to execute a desired vision task on a certain image size at a given frame rate:…”

Section: F Local Binary Patternsmentioning

confidence: 99%

“…This issue is even more challenging for vision systems at the edge, where visual tasks are executed close to the sensor, given the large amount of information to be managed in realtime and with a limited energy budget. Recently, some image sensors have been reported performing very low power consumption [1][2][3][4][5][6][7][8][9] in the order of tens of µW . Nevertheless, in such sensors, off-chip image processing and wireless communication still remain the main sources of power consumption, placed about one or two orders of magnitude above that one of the sensor, therefore they should be used carefully.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Low-Power VGA Vision Sensor With Embedded Event Detection for Outdoor Edge Applications

Zou

Gottardi

Lecca

et al. 2020

IEEE J. Solid-State Circuits

View full text Add to dashboard Cite

We report on a low-power VGA vision sensor embedding event-detection capabilities targeted to battery-powered vision processing at the edge. The sensor relies on an always-on Double-Threshold Dynamic Background Subtraction algorithm (DT-DBS). The resulting motion bitmap is de-noised, projected along xy-axes of the array of pixels and filtered to robustly detect moving targets even in noisy outdoor scenarios. The chip operates in Motion Detection (MD), applied on a QQVGA sub-sampled image, looking for anomalous motion in the scene at 344µW , and in Imaging Mode (IM), delivering full resolution gray-scale images with associated Local Binary Pattern (LBP) coding and motion bitmaps at 8f ps and 1.35mW. The 4µm pixel vision sensor is manufactured in a 110nm 1P4M CMOS and occupies 25.4mm 2 .

show abstract

Section: Discussionmentioning

confidence: 99%

Section: F Local Binary Patternsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Low-Power VGA Vision Sensor With Embedded Event Detection for Outdoor Edge Applications

Zou

Gottardi

Lecca

et al. 2020

IEEE J. Solid-State Circuits

View full text Add to dashboard Cite

show abstract

“…Recently, CISs have received considerable attention for a variety of applications [1,2,3,4,5,6]. Owing to the increasing demand for high-quality images, various CIS structures with low-noise performance have been developed [7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Black-sun noise immune correlated double sampling scheme for CMOS image sensors

Lee

Kim

2021

IEICE Electron. Express

View full text Add to dashboard Cite

This paper presents a black-sun immune correlated double sampling (CDS) scheme for high-quality imaging. Based on an analysis of signal characteristics in strong light conditions, a clamping circuit-based signal difference generator is proposed to accurately present the bright light information. The proposed scheme eliminates the black-sun noise with simple circuitry to improve the A/D conversion efficiency. Moreover, it can be is reversible to the conventional algorithm so that it still preserves the structural advantages of the existing CMOS image sensor (CIS) structure. A prototype CIS with a column-parallel 11-bit single-slope (SS) analog-todigital converter (ADC) was fabricated in a 0.11-μm 1P4M CIS process with a 2.9-μm pixel pitch.

show abstract

“…Introduction: CMOS image sensors (CISs) have been used in a wide variety of applications, including mobile devices and computer visionbased intelligent systems [1]. The field of machine vision systems has rapidly grown in recent years.…”

mentioning

confidence: 99%

CMOS image sensor for wide dynamic range feature extraction in machine vision

Kim

2021

Electronics Letters

View full text Add to dashboard Cite

This letter presents a wide dynamic range (WDR) feature extraction (FE) readout scheme for machine vision applications using CMOS image sensors (CISs). The proposed scheme with the proposed pixel structure has two operating modes, the normal and WDR modes. In the normal operating mode, the proposed CIS captures a normal image with high sensitivity. In addition, as a unique function, a bi-level image is obtained for real-time FE even if a pixel is saturated in strong illumination conditions. Thus, compared to typical CISs for machine vison, the proposed CIS can reveal object features that are blocked by light in real time. In the WDR operating mode, the proposed CIS produces a WDR image with its corresponding bi-level image. A prototype CIS was fabricated using a standard 0.35-μm 2P4M CMOS process with a 320 × 240 format (QVGA) with 10-μm pitch pixels. At 60 fps, the measured power consumption was 5.98 mW at 3.3 V for pixel readout and 2.8 V for readout circuitry. The dynamic range of 73.1 dB was achieved in the WDR operating mode.

show abstract

5.9 A 0.8V Multimode Vision Sensor for Motion and Saliency Detection with Ping-Pong PWM Pixel

Cited by 20 publications

References 2 publications

A Low-Power VGA Vision Sensor With Embedded Event Detection for Outdoor Edge Applications

A Low-Power VGA Vision Sensor With Embedded Event Detection for Outdoor Edge Applications

Black-sun noise immune correlated double sampling scheme for CMOS image sensors

CMOS image sensor for wide dynamic range feature extraction in machine vision

Contact Info

Product

Resources

About