A DSP-Based System Design for Image Capturing and Transmitting

2014 ◽  
Vol 1049-1050 ◽  
pp. 1730-1735
Author(s):  
Yong Cheng Wang ◽  
He Ming Zhao ◽  
Lei Shao ◽  
Li He
Keyword(s):  
Low Power ◽  
System Design ◽  
Low Cost ◽  
Image Data ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Driving Mechanism ◽  
Timing Control ◽  
Image Capturing

In present paper, a DSP-based image capturing and transmitting system is described. As a shortage of peripherals on DSP, external image capturing and data transmitting components are needed in this case. A CMOS image sensor was used to capture images, and an Ethernet MAC controller with PHY was used to transmit image data. In addition, a CPLD was used as the co-controller for timing control. ARP, IP and UDP were functioning during data transmitting through Ethernet. The Driving Mechanism of two main chips and implementing of the protocols were described in detail. Images displayed on the PC show that the system provids good performance. The system is low-cost, simple and low-power.

CMOS Image Sensor-Driven Design Based on TMS320DM368

2014 ◽  
Vol 687-691 ◽  
pp. 3097-3101 ◽  
Author(s):  
Song Zhan ◽  
Bao Cheng Yu ◽  
Chun Mei Wang
Keyword(s):  
Video Surveillance ◽  
Image Data ◽  
Device Driver ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Timing Control ◽  
Image Area ◽  
Design Requirements ◽  
Set Up ◽  
Normal Work

A structure of video surveillance platform has been set up based on TI's TMS320DM368 (the following referred to as DM368).The driver of CMOS image sensor has been designed ,according to the valid image data read and timing requirements in the CMOS image sensor. A Aptina's CMOS image sensor AR0130 has been adopted. Acooriding its clock configuration, the ranks’ timing control, the output resolution and other design requirements, a method based on the scanning of ranks clock to divide the valid image area has been applied to set parameters for achieving the hardware device driver. The results show that the device can be normal work under the drive, and video signal outputs stable.

A Two-Tap Indirect Time-of-Flight CMOS Image Sensor With Pump Gate Modulator for Low-Power Applications

2021 ◽  
pp. 1-7
Author(s):  
Bing Zhang ◽  
Congzhen Hu ◽  
Junhua Lai ◽  
Youze Xin ◽  
Zhuoqi Guo ◽  
...  
Keyword(s):  
Low Power ◽  
Time Of Flight ◽  
Cmos Image Sensor ◽  
Image Sensor

scholarly journals Block-Based Low-Power CMOS Image Sensor with a Simple Pixel Structure

2014 ◽  
Vol 23 (2) ◽  
pp. 87-93
Author(s):  
Ju-Yeong Kim ◽  
Jeongyeob Kim ◽  
Myunghan Bae ◽  
Sung-Hyun Jo ◽  
Minho Lee ◽  
...  
Keyword(s):  
Low Power ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Low Power Cmos ◽  
Block Based

scholarly journals Low-Cost 2D Index and Straightness Measurement System Based on a CMOS Image Sensor

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5461 ◽  
Author(s):  
Alain Küng ◽  
Benjamin A. Bircher ◽  
Felix Meli
Keyword(s):  
Measurement System ◽  
Degrees Of Freedom ◽  
Low Cost ◽  
Complementary Metal Oxide Semiconductor ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Oxide Semiconductor ◽  
Measurement Systems ◽  
Starting Point ◽  
Sensor Properties

Accurate traceable measurement systems often use laser interferometers for position measurements in one or more dimensions. Since interferometers provide only incremental information, they are often combined with index sensors to provide a stable reference starting point. Straightness measurements are important for machine axis correction and for systems having several degrees of freedom. In this paper, we investigate the accuracy of an optical two-dimensional (2D) index sensor, which can also be used in a straightness measurement system, based on a fiber-coupled, collimated laser beam pointing onto an image sensor. Additionally, the sensor can directly determine a 2D position over a range of a few millimeters. The device is based on a simple and low-cost complementary metal–oxide–semiconductor (CMOS) image sensor chip and provides sub-micrometer accuracy. The system is an interesting alternative to standard techniques and can even be implemented on machines for real-time corrections. This paper presents the developed sensor properties for various applications and introduces a novel error separation method for straightness measurements.

A 65 nm 0.5 V DPS CMOS Image Sensor With 17 pJ/Frame.Pixel and 42 dB Dynamic Range for Ultra-Low-Power SoCs

2015 ◽  
Vol 50 (10) ◽  
pp. 2419-2430 ◽  
Author(s):  
Numa Couniot ◽  
Guerric de Streel ◽  
Francois Botman ◽  
Angelo Kuti Lusala ◽  
Denis Flandre ◽  
...  
Keyword(s):  
Low Power ◽  
Dynamic Range ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Ultra Low Power

A Low-Power 65/14nm Stacked CMOS Image Sensor

2020 ◽  
Author(s):  
Minho Kwon ◽  
Seunghyun Lim ◽  
Hyeokjong Lee ◽  
Il-Seon Ha ◽  
Moo-Young Kim ◽  
...  
Keyword(s):  
Low Power ◽  
Cmos Image Sensor ◽  
Image Sensor

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

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3649
Author(s):  
Minhyun Jin ◽  
Hyeonseob Noh ◽  
Minkyu Song ◽  
Soo Youn Kim
Keyword(s):  
Power Consumption ◽  
Edge Detection ◽  
Low Power ◽  
High Speed ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Frame Rate ◽  
Oxide Semiconductor ◽  
Total Power ◽  
Total Power Consumption

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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