An event detection module with a low-power, small-size CMOS image sensor with reference scaling

Park, Cheonwi; Kim, Woo-Tae; Yeo, Injune; Jeon, Moongu; Lee, Byung-Geun

doi:10.1007/s10470-019-01421-1

Cited by 4 publications

(1 citation statement)

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“…In recent years, complementary metal-oxide-semiconductor (CMOS) image sensors (CIS) with computing functions (called computer vision sensors) have received considerable attention for use in a wide variety of applications, such as medical imaging, automotive safety, surveillance, and face detection for auto-focus in digital cameras [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ]. For edge/face/object detection processing in mobile applications that are battery powered, low power consumption is a primary design criterion.…”

Section: Introductionmentioning

confidence: 99%

Design of an Edge-Detection CMOS Image Sensor with Built-in Mask Circuits

Jin¹,

Noh²,

Song³

et al. 2020

Sensors

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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).

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