A Low-power CMOS Image Sensor Based on Variable Frame Rate Operation

2017 ◽  
Vol 17 (6) ◽  
pp. 854-861 ◽  
Author(s):  
Byoung-Soo Choi ◽  
Eunsu Shin ◽  
Myunghan Bae ◽  
Sang-Hwan Kim ◽  
Jimin Lee ◽  
...  
2014 ◽  
Vol 23 (2) ◽  
pp. 87-93
Author(s):  
Ju-Yeong Kim ◽  
Jeongyeob Kim ◽  
Myunghan Bae ◽  
Sung-Hyun Jo ◽  
Minho Lee ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3649
Author(s):  
Minhyun Jin ◽  
Hyeonseob Noh ◽  
Minkyu Song ◽  
Soo Youn Kim

In this paper, we propose a complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that has built-in mask circuits to selectively capture either edge-detection images or normal 8-bit images for low-power computer vision applications. To detect the edges of images in the CIS, neighboring column data are compared in in-column memories after column-parallel analog-to-digital conversion with the proposed mask. The proposed built-in mask circuits are implemented in the CIS without a complex image signal processer to obtain edge images with high speed and low power consumption. According to the measurement results, edge images were successfully obtained with a maximum frame rate of 60 fps. A prototype sensor with 1920 × 1440 resolution was fabricated with a 90-nm 1-poly 5-metal CIS process. The area of the 4-shared 4T-active pixel sensor was 1.4 × 1.4 µm2, and the chip size was 5.15 × 5.15 mm2. The total power consumption was 9.4 mW at 60 fps with supply voltages of 3.3 V (analog), 2.8 V (pixel), and 1.2 V (digital).


2016 ◽  
Vol 2016 (12) ◽  
pp. 1-4 ◽  
Author(s):  
Byoung-Soo Choi ◽  
Sung-Hyun Jo ◽  
Myunghan Bae ◽  
Sang-Hwan Kim ◽  
Jang-Kyoo Shin

Author(s):  
Arnaud Verdant ◽  
Antoine Dupret ◽  
Herve Mathias ◽  
Patrick Villard ◽  
Lionel Lacassagne

2013 ◽  
Vol 60 (8) ◽  
pp. 2561-2566 ◽  
Author(s):  
Fang Tang ◽  
Denis Guangyin Chen ◽  
Bo Wang ◽  
Amine Bermak

Sensors ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 5531-5554 ◽  
Author(s):  
Ismail Cevik ◽  
Xiwei Huang ◽  
Hao Yu ◽  
Mei Yan ◽  
Suat Ay

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