All-solution processed red, green, blue-quantum dot light-emitting diodes (R-, G-, B-QLEDs) were fabricated by using spin-coated silver nanoparticles (Ag NPs) as the cathode. In order to solve the higher turn-on voltage (Vt) compared to QLEDs with vacuum deposited Ag cathode, a combination of low-vacuum and thermal annealing drying process was used to dry the Ag NPs cathode. With this new process, the Vt of R-, G-, B-QLEDs was reduced to 1.9 V, 2.6 V, 3.2 V, respectively, which was comparable to the devices with vacuum deposited Ag cathode. The results show that the cathode treatment process may provide a new process idea for fabricating fully printing display light-emitting devices with low Vt.

During the operation of an OLED TV, the threshold voltage drift and the degradation of OLED panels will lead to the phenomenon of sticking image on the AMOLED display, especially in OLED TV. Two solution methods are presented: pixel compensation and current compensation to eliminate or reduce the sticking image on the screen of the OLED TV, and improve the lifetime of OLED TV. The accelerated aging test was used to verify that the solutions can effectively eliminate or alleviate the generation of sticking image on the screen of OLED TVs. The time of the appearance of sticking image can be delayed 13 340 h, as well as the available time of the screen was increased by nearly 80%. The lifetime of the OLED TV was effectively improved.

The structure of 7 actuators VDM is designed, and the mechanical characteristics of its mirror are analyzed based on the finite element method with ANSYS software. The maximum deformation and stress of the VDM under different material and physical parameters are simulated and discussed. The results show that the designed VDM has an outstanding comprehensive performance, and basically meets the requirements of applications. Our simulation results can provide a reasonable reference for the application of VDM.

Press light-leakage was a defect in the joint production of ADS TFT-LCD. In this paper, the causes of press light-leakage in 1 225 mm(55 in) product based on 8.5G factory are analyzed. It is found that the light-leakage of fixed position is caused by external stress deformation. At the same time, the influence of the pattern of sealant on glass, and the stress of glass before sealant cured are studied. The defect is effectively improved by changing the motion mode of turn-over, the light-leakage level dropped from the second leve 2(L2,the phenomenon of customers don't accept) to the first level(L1,the phenomenon of customers accept). In addition, the method is implemented for the first time, and provides an idea for solving lisht-leakage for other products.

To improve the heat dissipation performance of surface light source, a 12 mm thickness active ultrasonic micro-water mist heat dissipation module is made, based on the droplet atomization mechanism principle. The heat dissipation principle for this design is that, liquid water is oscillated into tiny droplets by ultrasonic atomizing. Then droplets are directly injected onto heat source surface, forming an ultrathin liquid film. The ejected droplets spray also produce forced convection and evaporation vaporization with secondary nucleation effect to achieve rapid cooling. With a special design of absorbent medium, the internal liquid circulation is achieved to enhance the heat dissipation effect. In this article, the heat dissipation performance comparison of fin fan and micro water mist cooling module are tested by using thermistor temperature acquisition system. Under the same size and power consumption conditions, the temperature rise of the micro-water mist cooling module is 7.8 ℃ lower than fin fan module. Compared with fin fan module, the heat dissipation performance of our design is increased by 12.9%. At the same time, this new design achieves the requirements of low cost, no noise and high heat dissipation performance.

Since the perceived brightness of human visual system is nonlinear with the actual displayed brightness of the display, gamma correction for the video data of the display is required to adapt the display brightness to the needs of the human eye. This paper presents a gamma correction method for a silicon-based OLED micro-display. Firstly, based on the gamma characteristics of the human visual system, the basic principles of gamma correction are analyzed. Then, the bit width extension for the input video data is proposed to achieve the nonlinear output, and the gamma correction is implemented based on look-up table and segment-adjustable linear difference algorithm. Finally, the correction parameters are adjusted according to the actual XGA039 chip’s illumination. The experimental results show that the maximum luminance of the XGA039 chip is 20 000 cd/m2, and better display effect is obtained when the gamma value is 2.2 and the adjustable non-uniform segmentation is used. The proposed gamma correction method can significantly improve the display quality, and has certain advantages in accuracy and implementation area compared with the conventional methods.

The theory and related mechanism of asymmetric gamma tuning effect on image sticking of display panels are analyzed. The effect of asymmetric gamma tuning on image sticking is verified by evaluation of the actual panel. The actual verification results show that, the area image sticking caused by the DC residual is significantly improved by adjusting the different gray scale voltage centers to compensate for the difference of the kickback voltage compared with the gray scale 127. The levels of short, medium and long-term image sticking decreased by about 2, 0.8 and 0.6 respectively. The results fully show that the area image sticking caused by DC residual can be effectively improved by the asymmetric Gamma adjustment method, which can be applied to actual products design to reduce the risk and grade of area image sticking.

Aiming at the problem that the changes of night brightness of a certain type of LCD is not uniform, which affects the use’s visual measurement of information in the night environment, the problem is analyzed in combination with the design scheme, and formulates the external positive measures. Based on the actual test value of PWM output of each gear and level, the parameters are adjusted to ensure that the output of each level is consistent with the brightness requirements. Through this solution, when the luminance data is 9, the measured luminance is 0.787 5 cd/m2, which meets the requirements of the index(0.726～0.921 cd/m2). The measured value in luminance between 0 and 9 is improved from 1.124 cd/m2 to 0.712 55 cd/m2, and the measured change in luminance between 9 and 18 is improved from 0.246 cd/m2 to 0.772 5 cd/m2. The variation of the measured value of true degree between each gear is similar and uniform, which improves the display effect and meets the user’s requirement.

The solar Hα space telescope is the first space observation telescope to realize the full-surface Hα monochromatic image in the world (including the three bands of Hα core and wire wing), which is of great significance for solar physics research. The signal-to-noise ratio (SNR) is an important index for quantitative evaluation of imaging quality and working stability of space telescope, so it is very important to calculate and estimate SNR for the development and use of solar Hα space telescope. The calculation model of the signal-to-noise ratio is established and the formula is derived according to the principle of the solar Hα space telescope and the way of energy transfer. On this basis, the interval of the signal-to-noise ratio and the exposure time is calculated, and the exposure time of the single pixel in the best working condition is 5 ms, and the exposure time of the pixel combination is 10 ms. It has been experimentally verified that the calculated and measured values are within one percent of the error. This can verify the accuracy and practicability of the signal-to-noise ratio calculation model.

In order to solve the problems of low accuracy and slow speed of target detection in video images, an improved YOLOV3-based object detection method is proposed. By introducing GIOU Loss, the non-overlapping part problem that the original IOU cannot directly optimize can be solved. After drawing on the idea of densely connected networks, the three residual blocks in YOLOV3 are replaced with three dense blocks, and the denseness is combined with Max Pooling to strengthen the denseness. After transferring the features between the connected blocks, and replacing the IOU and the original network to detect the connection structure, a new network structure is designed. The number of parameters is reduced, the feature reuse and fusion are enhanced, and the effect is better than the original method. The experimental results show that comparing with the original algorithm, the improved GDT-YOLOV3 algorithm has excellent results in both simple and complex traffic scenarios. The average detection accuracy of the algorithm proposed in this paper is up to 92.77%, and the speed has reached 25.3 f/s, which basically meets the real-time performance. In addition, in terms of detection accuracy, the improved GDT-YOLOV3 performs better than SSD512, YOLOV2, and YOLOV3.

Aiming at the digital image correlation (DIC) experiment, ordinary paint speckle can not meet the requirement of ultra-high temperature environment, the method of designing and transferring the digital speckle patterns (DSPs) is studied. The design of the digital speckle patterns determine the circle center coordinates of each speckle by matrix transformation, and then a random degree is applied to each circle center coordinate, and it is programmed by Matlab. The laser marking technology is used to transfer it to the surface of the test piece. The accuracy of speckles are analyzed by roundness and area ratio, and the paint speckles and DSPs are compared and analyzed by the average speckle gradient method. The results show that the accuracy of DSPs transferred by laser marking technology is higher than that of ordinary spray paint speckle, and the quality is stable. The DSPs is used in the high-temperature welding test. In the test, the speckle is deformed along with the test piece, and no phenomena such as shedding and melting under high-temperature occurred.

Using OpenMV with STM32F427 as the MCU, a machine vision-based track barrier-avoidance intelligent car system is designed. The car system can quickly look for the specified field randomly lit signal beacon from the designated location of the marking. The design uses the camera module system to collect the image, get the position information of the obstacle, and measure the distance by using the captured obstacle image further, so as to get the position signal of the obstacle. Using FAST feature point detection algorithm, NCC template matching algorithm, PID control algorithm, monovisual visual ranging algorithm, etc., when there are obstacles in front of the car they start curve exercise to avoid obstacles, when no obstacles they are straight driving, to achieve the purpose of automatic driving. The system can verify and realize the function of automatic "search" barrier by many experiments, and has the characteristics of high sensitivity and strong stability.

A new, general, fast and user-friendly method to solve the problem of colorizing grayscale images is proposed. The neighborhood-first searching scheme is designed firstly to find the candidate matching pixels of a target grayscale pixel. Then, the final matching pixels are determined by calculating matching error between the candidates and the target pixels based on the texture similarity. For the pixels that don’t meet the neighborhood matching criterion, the whole image searching and matching can be sped up by using edge-preservation smooth filter to smooth the color reference image and setting sampling interval. To address the problem of image distortion occurred after global matching, our method conducts one or more swatch matching procedures to transfer the desired color moods from groups of swatch regions in the color reference image to the distortion regions of the colorized image. The subjective evaluation results show that in four test cases, the proposed algorithm has similar performance to the classical Welsh algorithm on the color transfer quality, but in the aspect of computing efficiency, the proposed algorithm has a great advantage over Welsh algorithm. By means of a test case of colorizing a grayscale image with complex color composition, the improvement of the swatch matching in color transfer and gamut reproduction is verified.