Image Acquisition Card Research Articles

Strategies for improving the detection accuracy of computerized machine vision considering spatial applications

In this paper, strategies in image preprocessing, hardware composition and detection methods are considered to improve computerized machine vision detection accuracy. First, image preprocessing and image enhancement are performed to improve the quality of the input image. Second, the hardware composition of the computer vision online inspection system is optimized by focusing on the light source selection and the performance of the image acquisition card in spatial applications. Combined with spatial application calculations, methods such as frequency domain method and Canny operator are used in order to improve the accuracy of machine vision detection. Finally, in the same test environment, the machine vision detection requires only 400MB and the detection accuracy ranges from 85.13% to 99.42%. With these comprehensive strategies, this paper provides a comprehensive and effective approach for computerized machine vision detection in spatial applications to improve detection accuracy and meet demanding application scenarios.

Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-Gaussian filter coupling algorithm

Considering the tiny surface defects of Si3N4 ceramic bearing balls and the low accuracy of defect detection using a single traditional algorithm, we find that the performance of the aerospace mechanical power system is poor. A coupling algorithm based on the improved homomorphic filter and Gaussian filter is proposed. The Si3N4 ceramic bearing ball nondestructive testing platform is established, by which the surface defect images of Si3N4 ceramic bearing balls are collected. The image acquisition card obtains the image information and then transmits it to the image storage module. The image processing module handles surface defect images. The gray transformation algorithm is used to complete image preprocessing. Gaussian noise in images is filtered out using the Gaussian filter algorithm. The homomorphic filtering algorithm is used to enhance the high frequency component, compress the low frequency component, and filter out the convolution noise and promiscuous signal. The contrast of the defect part has been reinforced using the coupling algorithm. It turns out that the accuracy of the coupling algorithm is 100%, 96.7%, 98.9%, and 94.4%.

Development of Mobile Robot System Based on Nano-scale Micro-surface Measurement

Absrtact. The system development of the mobile robot mainly includes two parts: one is to build a laser interference system based on piezoelectric ceramic dynamic carrier; The other part is the image processing of the interference fringe pattern collected by the interference system. The laser interference system can be installed on the front-end manipulator of the robot as an integral structure. The shape information of the measured micro-surface can be obtained by processing the interference fringes collected by the image acquisition card on the interference system, so as to achieve the purpose of high-precision surface roughness measurement.

Research and Implementation of Digital Microscope Image Acquisition System Based on Embedded Linux

<p style="text-align: justify;"><span style="font-family: "times new roman";">With the rapid development of multimedia and Internet in today's society, embedded Linux system also involves many places, and the application of digital microscope is also reused in many industrial manufacturing areas. The main purpose of this paper is to complete the research and implementation of digital microscope image acquisition system based on Embedded Linux, including image acquisition card, logic function, hardware circuit design and image acquisition system. In this paper, the CMOS digital camera is used to connect the CMOS digital camera with the computer through the transmission network, so as to collect the data. In the image preprocessing, the adaptive method based on mean and variance is implemented to correct the gray level of the collected image to avoid high error. In the image registration, the registration algorithm is used to smooth the mosaic place. Then, Sobel algorithm is used to carry out the color transition step by step to eliminate the gap in the image and realize the microscopic image mosaic. The results are as follows: the overall design scheme of the system is designed; the circuit board of digital microscope image acquisition and processing unit based on Embedded Linux is realized; image mosaic is realized by using image preprocessing, registration algorithm and fusion technology, In order to improve the quality of digital microscope image acquisition; through the feasibility test of the system, it is concluded that the performance of the embedded Linux digital microscope image acquisition system proposed in this paper is good, which is worthy of wide application.</span>

Research on Measurement of Mechanical Parts Based on Vision

This paper mainly elaborated the working principle of machine vision measurement system and the brief design of hardware structure. Firstly, the selection of CCD camera, image acquisition card, light source are explained basing on the specific method of camera calibration. Then the software used in image processing is introduced in the case whose hardware system design has been basically completed. The operating method of the software is described in conjunction with an example.

Intelligent Quality Control System Based on Machine Vision of Multi-Line

Testing for a variety of different industrial objects, this paper designed a multi on-line machine vision based on intelligent quality control system solutions. Microvision based on the company introduced the MV-8002 image acquisition card and the MV-VS1394 camera visual inspection of industrial software and hardware structure and the working principle of a high-speed online learning model of intelligent foreign recognition, it described the image acquisition card and the camera with the application and the software development. by the applications case, and the further evidence of the reliability of this system.

Study on the Positioning Error of Turntable Based on Machine Vision System

This paper developed a turntable positioning error measurement system based on machine vision. The system consists of image acquisition devices, the image acquisition card, computer and data processing software and other components. Among them, the image acquisition devices consisted of two digital CCD cameras and two microscope objectives. The image acquisition devices capture images of fixture fixed on the turntable in horizontal and vertical direction. Then, the collected images are processed by adopting the filtering method, binarization method, edge detection method, calibration method and other steps. The high-accuracy measure of turntables positioning errors is realized, and the error histogram is drawn. Theoretical analysis and experimental results show that the method is correct and feasible.

Research of the Stereo Measure Technology for Firearms Chamber

A stereo endoscope measurement system for the firearms’ chamber is exploited with the stereo endoscopic technique and it put forward a new detection method for the damage depth and scorching area and it solved the technical problems of the nondestructive detection. It has realistic significance for the improvement of the work efficiency, measurement precision and data statistic. The software design thoughts of the image acquisition card, the stereo camera calibration and the stereo matching are presented in the paper with the stereo vision theory and it obtains the preliminary research results.

The Weld Image Acquisition and Preprocessing Based on FPGA

In the weld image acquisition system, real-time image processing has been a difficult design bottleneck to break through, especially for the occasion of large data processing capability and more demanding real-time requirements, in which the traditional MCU can not adapt, so using high-performance FPGA as the core of the high speed image acquisition and processing card, better meets the large amount of data in most of the image processing system and high demanding real-time requirements. At the same time, system data collection, storage and display were implemented by using Verilog, and in order to reducing the influence of edge detection noise, the combination of image enhancement and median filtering image preprocessing algorithm was used. Compared to the pre-processing algorithm of the software implementation, it has a great speed advantage, and simplifies the subsequent processing work load, improves the speed and efficiency of the entire image processing system greatly. So it proves that the system has strong ability of restraining the noise of image, and more accurate extracted edge positioning, it can be applied in the seam tracking field which need higher real-time requirements.

Vision Control System of Pipe Welding Robot

The author of this article designs a non-track automatic pipe welding robot, which mainly studies the image processing system of visual welding tracking. With the requirement of various interference noise and tracking accuracy in the welding process, this study adopts structure light CCD sensor checking system and image acquisition card processing images of computer software, in which sample filtering, edge checking, contour tracking, laser centerlines selection and checking of its characteristics. This processing method has the advantages of good effect and speedy processing that is able to meet the timely requirement of tracking system.

Parachute Swing Angle Measurement in Wind Tunnel Test Based on Stereo Vision System

Parachute system is a significant composing part of aircraft, and the swing angle is one of system security targets. To the complicated measurement problem of parachute angle in wind tunnel test, this paper describes a test method based on stereo vision system, the system is mainly composed of two CCD cameras, image acquisition card and computer. It can get 3D coordinates by stereo vision calibration and digital image processing technology, and calculate the parachute swing angle by geometry relationship. The result shows that the method succeeds, and gets the vertical and horizontal angles which are projected onto two orthogonal planes. The method has the advantage of simple system composing and good compatibility, displays much better application value.

Experimental investigation of natural convection inside a upper part of vertical converging air channel using the Schlieren technique

The article concerns the selected application problem of gradient optical technique for the analysis of development of the thermal boundary layer. The recording of thermal boundary layer development was carried out using the modified Schlieren system. The modifications introduced to the optical measuring systems allowed the extension of the information carrier measuring range along with a reduction in the susceptibility of the systems to misalignment. As the information carrier, a collimated 25-mW He–Ne laser beam was used. The recording of the distribution of optical density of information carrier around the experimental model under analysis was carried out using a CCD matrix with the image acquisition card. The experimental model under consideration was a converging air channel in the form of a space enclosed by two inclined heating surfaces. The measurements of convective heat transfer were carried out for different angles of inclination (18°, 30° and 45°) and thermal conditions (320K, 370K and 490K) of the heating surfaces. The obtained results of experimental analysis were approximated with the power relationship Nux=C(Rax)a.

Implementation of Camera Link Interface on Virtex-5 FPGA

Camera link interface is a standard interface commonly used in current industrial camera and image acquisition card and it is usually realized by special chips. The embedded image processing platform has the FPGA chips, if the camera link interface can be implemented on the FPGA chips, the circuit design will be simplified and the system integration can be improved.

Design and Implementation of a Soft-Measuring System for High-Temperature Field Based on Color CCD Image Sensor

The soft-measuring system consists of an optical lens, a color CCD camera, an image acquisition card, a computer and associated measuring software based on colorimetric temperature measurement. Using the system, the temperature distribution of a high-temperature field can be measured and then displayed on the screen. A method of adjusting the intensity of light is developed to expand the range of the measuring temperature of the system, and the calibration experiments through blackbody furnace are adopted to calibrate the soft-measuring system. The errors of the measurement caused by the non-ideal spectrum response of CCD image sensor are corrected. Multi-spectral segmenting is applied on the image of the high-temperature field, thus various high-temperature noises in the color image can be reduced or even eliminated. The experiment indicates the soft-measuring instrumentation meets the high-temperature detecting requirements of industrial production due to its high accuracy and reliability.

Application of computer vision technology on raising sow and procreating of processing

This paper expounds the application of machine vision theory, composition and technology in the sow breeding process monitoring, auxiliary judgment, and growth of young monitoring. It also points out the problems and deficiency in the application of machine vision technology, and discusses the development trends and prospects of the machine vision technology in agricultural engineering. The application of machine vision is a process in which dynamic original image from the sows estrus is collected with a CCD camera, and then black and white ash three binarization image in adjournments of the threshold value is made by using image acquisition card, through the median filtering and gray processing. The practitioners can extract respective image information from the sow estrus, pregnancy and birth delivery. Applying the computer vision system in the sow farm effectively enhances the practitioners’ objectivity and precision in their efforts to assess the whole process of sow birth delivery.

A Video Extensometer Design for The Tensile Strain Test of Fiber Optic Cable

A strain measurement system for fiber optic is established based on digital image processing techniques. The hardware of the system is consists of a light source, optical fiber cable tensile equipment, CCD camera and image acquisition card. Hardware equipment was selected by the technical requirements of the system, such as measurement accuracy, velocity and so on. The software of the system, including image acquisition module, data processing module, edge detection module, image measurement module and image storage module, is designed.

Flour Bag Counting System Based on Machine Vision

According to the specific characteristics of Flour Plant production line, the bag counting system for Flour Plant based on Daheng Image acquisition card DH-CG410 and Microsoft VC++ 2005 platform is designed. Using digital image processing technology, the system can be used to detect flour bag by analyzing real-time acquisition video of the flour bag. So it is available for flour production counting. Test results show that the system has the advantages of stable working state, high detection accuracy, high processing speed. It can systematize and standardize the Flour Plant flour bag counting process.

Plasma Jet Acquisition and Image Processing Technology &lt;sup&gt;&lt;/sup&gt;

Experimental system of CCD real-time acquisition is developed according to high temperature property of plasma jet. Mathematical model of gray image and jet temperature distribution is established and basic principles of the CCD collection is analyzed. It realizes acquisition by a common image acquisition card in LabVIEW environment and real-time display of jet. Jet is collected on the computer image processing by using IMAQ Vision, and it intuitive analyzes the shape and temperature distribution according to pseudo-color image processing results of the jet temperature field. Experimental results deepen understanding of the complex nature of plasma jet, which have a guiding significance on the plasma technology in materials processing application.

Algorithm for Detecting the Image of River Sediment Based on Hydrometric Cableway

In order to solve the long period of drying method in river sediment conditions, an image acquisition device which installed in the lead fish existing in Cableway river is designed. This new device sinks into the pre-set the vertical position, when the computer of bank workstation issuing control commands, the camera in lead fish started to sample recording in the water, and image transfer to the image acquisition card, and then transmitted image data to the banks of workstations by the ARM. After denoising, segmentation, calculation and processing to images by computer in riparian workstation, the river sediment content is done. The measurement of the river sediment proposed by this paper is adequate for the lower detection (30kg/m 3 ), and used in Ji’an Wu River hydrological station. Applying the presented method it is shown that comparing with traditional method the presented method has reduced in time 96% and compared with the drying method error of 1% -% 5, which meets hydrology and sediment survey. Although the method for larger sediment (100kg/m 3 ) river sediment concentration measurements still short of expectations, but it can provide a reference for sand measuring.

Development of a Novel Breast Cancer Detector based on Improved Holography Concave Grating Imaging Spectrometer

Breast cancer can be detected by B-mode ultrasonic imaging, X-mammography, CT imaging, and MRI. But some drawbacks existed in these methods, their applications was limited in some certain. So, a novel high resolution breast cancer detector (BCD) is developed in this paper. Meanwhile, an improved holography concave grating imaging spectrometer (HCGIS) is designed. In this HCGIS, the holography concave grating is used as the diffraction grating. Additionally, CCD with combined image acquisition (IAQ) card and the 3D scan platform are used as the spectral image acquisition component. This BCD consists of the light source unit, light-path unit, check cavity, splitting-light unit, spectrum acquisition and imaging unit, signal processing unit, computer and data analysis software unit, etc. Experimental results show that the spectral range of the novel BCD can reach 300-1000 nm, its wavelength resolution can reach 1nm, and this system uses the back-split-light technology and the splitting-light structure of holography concave grating. Compared with the other instruments of breast cancer detection, this BCD has many advantages, such as, compacter volume, simpler algorithm, faster processing speed, higher accuracy, cheaper cost and higher resolution, etc. Therefore, this BCD will have the potential values in the detection of breast disease.