The defect of silicon photovoltaic (PV) modules excited by photoluminescence (PL) technology at high light level (HLL) will be easily drowned in the ambient light; therefore, the detection equipment cannot sense the defect information directly. To solve this problem, a defect detection method that effectively resists the interference of ambient light in daytime is proposed in this paper. This method uses modulated light as the excitation for PV modules, and employs the near-infrared (NIR) camera to capture a group of image sequences satisfying the modulation characteristics. To restore the defect information of PV modules from image sequences, an algorithm based on time domain error is proposed. Finally, hardware acceleration of algorithm by field programmable gate array is implemented to solve the problem of time-consuming tasks for the personal computer. The experimental results show that this method can effectively restore the defect pattern with HLL extending from 0.1 lx to 11,170 ± 5 lx. Therefore, this work can provide an effective detection strategy for PL detection of PV modules at HLL.
In order to realize real-time image fusion and improve fusion rate, an infrared and low-light image fusion algorithm based on wavelet transform is proposed, and an uncooled infrared and ICMOS image fusion system based on FPGA is developed on this paper. The system has completed image acquisition, image fusion and video output. Based on the analysis of the implementation of each part, this paper focuses on the study of image fusion algorithm based on FPGA. This algorithm greatly reduces the storage resources. At the same time, the fusion rule based on local energy is adopted to greatly improve the fusion effect of low-frequency images. The system can better retain the characteristics of infrared and low-light images which realize fusion imaging under 9* 10-4lx illumination. The experimental results show that the image processed by the proposed image fusion algorithm has good brightness characteristics, high contrast and large amount of information.
With the development of digitalization and high-definition, CMOS image sensor have been widely used in video imaging systems with its advantages of low power consumption, low cost, high integration, and high imaging quality. This paper uses the UV1280 image sensor as the core device to design an FPGA-based adaptive dynamic exposure control CMOS imaging system , including image data acquisition and analog-to-digital conversion, data processing, HDMI interface design and display, combined with adaptive dynamic exposure control program, and realize the miniaturization of imaging system. Experimental results show that the imaging system can perform adaptive dynamic exposure control under the illumination of 104lx~0.86lx with clear real-time imaging effects and high contrast. The video output interface is HDMI, and the effective resolution is 1280*1024@60fps.
Microchannel plates (MCP) are devices that achieve electronic multiplication in the low-light intensifier system. MCP have the advantages of high gain, small size and light weight, being widely used in modern low-light, infrared, and ultraviolet image detection fields. In this paper, the fatigue and damage of MCP caused by strong input current are studied. The fatigue and damage of MCP are mainly reflected by the change of gain and body resistance. Experiments show that the gain of the MCP decreases under the condition of strong electron flow (2nA), and the body resistance decreases sharply after being damaged.
KEYWORDS: Signal to noise ratio, Ultraviolet radiation, Field programmable gate arrays, Microchannel plates, Night vision, Gold, Semiconductors, Light, Power supplies, Lamps
In the field of low-light night vision, EBCMOS (Electron Bombarded Complementary Metal Oxide Semiconductor) has received much attention due to its high-gain, high-resolution, low-noise, etc. The techniques used to test EBCMOS performance are also in urgent need of development. According to the composition of EBCMOS detectors, based on the existing vacuum device and semiconductor device test methods, the SNR testing method of EBCMOS is proposed and the testing system is designed. The Field Programmable Gate Array(FPGA)-based hardware platform is built in the vacuum environment. The CMOS data is read out by programmable logic design. Finally, the SNR is obtained by the MFC host computer. Experiments show that the system can measure accurate SNR parameters.
The process that the alpha particles emitted by the nuclear pollutants react with the nitrogen molecules in the air will produce ultraviolet photons with wavelengths of 280-390 nm, which can be detected by a photomultiplier tube. In this paper, a set of nuclear pollutant detection system based on photon counting detection system is designed. Firstly, the principle and development of nuclear pollution detectors and the development status of single photon detection technology are introduced. Then the overall system structure is introduced, the system is mainly composed of mechanical baffle, filter, photomultiplier, photon counter and upper computer software. The photon counter is composed of the preamplifier module, the signal discriminating circuit module and the pulse counting module. Finally, the detection experiment of the nuclear standard source is carried out, and the experimental results are analyzed. The analysis results show that the system can be used for the detection of nuclear pollutants in alpha particle sources.
Wide dynamic cameras are widely used due to their excellent details capture ability in high contrast environments. This paper designed a hand-held wide dynamic camera with the NSC1105 image sensor. This camera is based on FPGA hardware platform for image acquisition, data conversion, image processing and OLED display. The miniaturized design realizes the hand-held of the camera. The experimental result shows that the hand-held wide dynamic camera can clearly distinguish the target in strong contrast environment, with the effective resolution of 1280*1024@52fps, and the detailed information collection ability is excellent.
KEYWORDS: Field programmable gate arrays, Cameras, Organic light emitting diodes, Signal processing, Image processing, Night vision, Imaging systems, Digital signal processing, Image sensors, Image intensifiers
The solid low-light imaging device is an important part of low-light night vision which has the advantages of high resolution, high contrast, and small size. In addition, it can work 24 hours. This paper designs an FPGA-based low illumination ICMOS (Intensified CMOS) camera hardware system which based on the NSC1105 image sensor. It includes image acquisition and conversion, data processing, OLED display, combined with control programs to achieve miniaturization of the camera. Finally, the experiments show that the low illumination camera can clearly identify the target under the illumination of 10-2lx, and the effective resolution is 1280*1024@52fps.
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