The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit

Lee, Suhyeon; Yun, Yu Chan; Heu, Seung Min; Lee, Kyu Hyun; Lee, Seung Joon; Lee, Kyungmin; Moon, Jiin; Lim, Hyuna; Jang, Taeun; Song, Minkyu; Kim, Soo Youn

doi:10.3390/s25103219

This is an early access version, the complete PDF, HTML, and XML versions will be available soon.

Open AccessCommunication

The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit

by

Suhyeon Lee

,

Yu Chan Yun

,

Seung Min Heu

,

Kyu Hyun Lee

,

Seung Joon Lee

,

Kyungmin Lee

,

Jiin Moon

,

Hyuna Lim

,

Taeun Jang

,

Minkyu Song

and

Soo Youn Kim

^*

Department of System Semiconductor, Dongguk University, Seoul 04620, Republic of Korea

^*

Author to whom correspondence should be addressed.

Sensors 2025, 25(10), 3219; https://doi.org/10.3390/s25103219

Submission received: 2 April 2025 / Revised: 11 May 2025 / Accepted: 15 May 2025 / Published: 20 May 2025

(This article belongs to the Special Issue Recent Advances in CMOS Image Sensor)

Download Versions Notes

Abstract

We propose a complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that performs edge mask computation and detection during the analog-to-digital (A/D) conversion process to output 1-bit edge images. By utilizing the characteristics of the edge that can obtain a 1-bit image, the edge mask and thresholding operations are performed simultaneously during the A/D conversion process, thereby reducing memory capacity along with a high number of frames per second (FPS). Additionally, by implementing a 1-bit analog-to-digital converter (ADC) instead of a high-resolution ADC and counter through the 1-bit edge data obtained from the edge mask operation, both static and dynamic power consumption are reduced. The proposed CIS, fabricated with a one-poly six-metal CIS process with a 4T-active pixel sensor, has a core area of 2.546 mm 1.923 mm in a chip area of 2.558 mm × 4.3 mm. The total power consumption is 1.52 mW at 23 FPS, with power supplies of 2.8V and 1.5V for the analog domain and 1.5V for the digital domain.

Keywords: CMOS image sensor; computer vision; edge detection; low power consumption

Share and Cite

MDPI and ACS Style

Lee, S.; Yun, Y.C.; Heu, S.M.; Lee, K.H.; Lee, S.J.; Lee, K.; Moon, J.; Lim, H.; Jang, T.; Song, M.; et al. The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit. Sensors 2025, 25, 3219. https://doi.org/10.3390/s25103219

AMA Style

Lee S, Yun YC, Heu SM, Lee KH, Lee SJ, Lee K, Moon J, Lim H, Jang T, Song M, et al. The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit. Sensors. 2025; 25(10):3219. https://doi.org/10.3390/s25103219

Chicago/Turabian Style

Lee, Suhyeon, Yu Chan Yun, Seung Min Heu, Kyu Hyun Lee, Seung Joon Lee, Kyungmin Lee, Jiin Moon, Hyuna Lim, Taeun Jang, Minkyu Song, and et al. 2025. "The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit" Sensors 25, no. 10: 3219. https://doi.org/10.3390/s25103219

APA Style

Lee, S., Yun, Y. C., Heu, S. M., Lee, K. H., Lee, S. J., Lee, K., Moon, J., Lim, H., Jang, T., Song, M., & Kim, S. Y. (2025). The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit. Sensors, 25(10), 3219. https://doi.org/10.3390/s25103219

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

The Design of a Computer Vision Sensor Based on a Low-Power Edge Detection Circuit

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI