Papers by Keyword: CMOS Image Sensor

Abstract: It designs an image acquisition system of the camera based on FPGA. It uses a CMOS image sensor as the sensitive chip and controls the timing of image collection by designing the FPGA. FPGA transfers captured image into a PC to display. It uses the I2C bus to initiate CMOS sensor. A problem of cross-clock is solved by asynchronous FIFO. By the ping-pong operation based on two SDRAM chips to solve the problem of high speed data cache. The FPGA chip communicates signal data with PC by Ethernet port. The experiment proved that the system is able to collect 2048×1536 resolution images in a speed of 12fps.

Abstract: With the development of the nuclear power and the requirement of the nuclear power equipments’ automation, the fault diagnosis system needs to vibration, noise, temperature and other signals generated by the sensor acquisition system under test. Monitoring technology in high radiation environment is very different from traditional monitoring technology, there is a high radiation resistant performance to sensors, amplifying circuit and transmission cable. The project group preliminary study results show that using sound detection method for real-time video monitoring to get more equipment operating information. According to the research in radiation effect of semiconductor devices and comparison experiment, radiation resistant performance of moving-coil acoustic sensor is above CMOS image sensor several orders of magnitude. This provides a powerful hardware support to it that fault diagnosis method based on capturing the audio signal while the nuclear facilities are operating is proposed.

Abstract: Three noise reduction programs based on Color Filter Array (CFA) image from Complementary Metal-Oxide-Semiconductor (CMOS) image sensor system are proposed. Imaging performance from different order of interpolation and noise reduction is researched. The relevant models are established and three interpolation methods and four noise reduction methods are selected in the paper. The results show that under different imaging sequence, whether from objective evaluation or from the subjective point of view, Linear Filtering noise reduction is the worst, noise reduction on Least Squares Method is optimal. The conclusions have references to digital camera imaging.

Abstract: A high-definition imaging and processing system is presented, which consists of a color CMOS image sensor, SRAM, CPLD and DSP. The CPLD implements the logic and timing control to the system. SRAM stores the image data, and DSP controls the image acquisition system through the SCCB. The timing sequence of the CMOS image sensor OV9620 is analyzed. The imaging part and the high speed image data memory unit are designed. The hardware design of the imaging system and processing algorithm are given. Because the CMOS digital cameras use color filter arrays to sample different spectral components, such as red, green, and blue, at the location of each pixel only one color sample is taken, and the other colors must be interpolated from neighboring samples. We use the edge-oriented adaptive interpolation algorithm for the edge pixels and bilinear interpolation algorithm for the non-edge pixels to improve the visual image quality. This method can get high processing speed, decrease the computational complexity, and effectively preserve the image edges.

Abstract: In order to meet real-time and quick requirements for video information acquiring and processing, this paper introduces a hardware platform based on Altera's Cyclone series EP1C12Q240C8, to descript the driving timing for CMOS image sensor OV7620 with Verilog HDL language to acquire video information. The system uses SCCB programming model, establishes communication between FPGA chip and CMOS image sensor to achieve the control and acquisition of the signal. In order to achieve operational requirements in different environments and needs, the corresponding registers and the controller are set within CMOS image sensor. Experimental results show that the control of the CMOS image sensor OV7620 flexibly provides a stable and reliable source of raw information for video monitor, industrial applications such as on-site monitoring.

Abstract: A three-dimensional finite element model of CMOS image sensor QFN packaging using ANSYS codes is developed to investigate the solder joint reliability under thermal cycle test. The predicted thermal-induced displacements were found to be very good agreement with the Moiré interferometer experimental in-plane deformations. The developed finite element model is then applied to predict fatigue life of Sn4.0Ag0.5Cu, Sn3.5Ag0.5Cu and Sn3.9Ag0.6Cu alloys based on JEDEC standard JESD22-A104. In order to save computational time and produce satisfactory results in the region of interest, an independent more finely meshed so-called submodel scheme based on cut-boundary displacement method is generated. The mesh density for different area ratio of refinery/coarse model was verified and the results were found to be good agreement with previous researches. The modified Coffin-Manson equation and strain energy density based equation are applied to evaluate the reliability of SnAgCu alloys. A series of comprehensive parametric studies were conducted in this paper.

Abstract: The 9 and 16 MeV proton irradiations of CMOS Image Sensor in the fluence range from 5x108 to 4x1010 cm-2 and 5x109 to 1x1013 cm-2 have been carried out respectively. The color pictures and dark output images are captured, and the average brightness of dark output images is calculated. The anti-irradiation fluence thresholds for 9 and 16 MeV protons are about 4x1010 and 5x1012cm-2, respectively. These can be explained by the change of the concentrations of irradiation-induced electron-hole pairs and vacancies in the various layers of CMOS image sensor calculated by the TRIM simulation program.