Sensor-level computer vision with pixel processor arrays for agile robots
Vision processing for control of agile autonomous robots requires low-latency computation,
within a limited power and space budget. This is challenging for conventional computing …
within a limited power and space budget. This is challenging for conventional computing …
A 0.5-V real-time computational CMOS image sensor with programmable kernel for feature extraction
TH Hsu, YR Chen, RS Liu, CC Lo… - IEEE Journal of Solid …, 2020 - ieeexplore.ieee.org
As the growing demand on artificial intelligence (AI) Internet-of-Things (IoT) devices, smart
vision sensors with energy-efficient computing capability are required. This article presents a …
vision sensors with energy-efficient computing capability are required. This article presents a …
7.7 A 0.2-to-3.6 TOPS/W programmable convolutional imager SoC with in-sensor current-domain ternary-weighted MAC operations for feature extraction and region-of …
M Lefebvre, L Moreau, R Dekimpe… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Mixed-signal vision chips are becoming increasingly popular for low-power embedded
computer vision applications on smartphones, wearables and IoT nodes, as they meet …
computer vision applications on smartphones, wearables and IoT nodes, as they meet …
A 1000 fps vision chip based on a dynamically reconfigurable hybrid architecture comprising a PE array processor and self-organizing map neural network
This paper proposes a vision chip hybrid architecture with dynamically reconfigurable
processing element (PE) array processor and self-organizing map (SOM) neural network. It …
processing element (PE) array processor and self-organizing map (SOM) neural network. It …
[HTML][HTML] Wilson's disease: A new perspective review on its genetics, diagnosis and treatment
Wilson's disease (WD) is an autosomal recessive disorder which is caused by poor
excretion of copper in mammalian cells. In this review, various issues such as effective …
excretion of copper in mammalian cells. In this review, various issues such as effective …
[PDF][PDF] A future perspective on in-sensor computing
The use of artificial intelligence (AI) is escalating rapidly in most applications nowadays,
thanks to breakthroughs in biology and mathematics. Novel hardware systems are greatly …
thanks to breakthroughs in biology and mathematics. Novel hardware systems are greatly …
Low-power CMOS vision sensor for Gaussian pyramid extraction
M Suarez, VM Brea, J Fernandez-Berni… - IEEE Journal of Solid …, 2016 - ieeexplore.ieee.org
This paper introduces a CMOS vision sensor chip in a standard 0.18 μm CMOS technology
for Gaussian pyramid extraction. The Gaussian pyramid provides computer vision algorithms …
for Gaussian pyramid extraction. The Gaussian pyramid provides computer vision algorithms …
Fixed pattern noise reduction and linearity improvement in time-mode CMOS image sensors
M Kłosowski, Y Sun - Sensors, 2020 - mdpi.com
In the paper, a digital clock stopping technique for gain and offset correction in time-mode
analog-to-digital converters (ADCs) has been proposed. The technique is dedicated to …
analog-to-digital converters (ADCs) has been proposed. The technique is dedicated to …
An ultra-low-power and mixed-mode event-driven face detection SoC for always-on mobile applications
A new face detection SoC integrating CIS array with low-power face detector on a single
chip in analog-digital mixed-mode is proposed for ultra-low-power mobile device …
chip in analog-digital mixed-mode is proposed for ultra-low-power mobile device …
A CMOS pixel with embedded ADC, digital CDS and gain correction capability for massively parallel imaging array
M Kłosowski, W Jendernalik, J Jakusz… - … on Circuits and …, 2016 - ieeexplore.ieee.org
In the paper, a CMOS pixel has been proposed for imaging arrays with massively parallel
image acquisition and simultaneous compensation of dark signal nonuniformity (DSNU) as …
image acquisition and simultaneous compensation of dark signal nonuniformity (DSNU) as …