The paper presents the subject of the selection of laser illuminator parameters for 3D vision systems using the MTL laser triangulation method. The influence of the adopted configuration of 3D vision system on the image of the laser beam registered by the camera is discussed. Selected examples are presented in which an unusual distribution of the beam has been observed on the surface of the imaged object. These examples are discussed in terms of the possibility of using the laser triangulation method for the precise imaging of the shape of the imaging product. Examples of differences in beam image distribution on selected sayings and materials are also discussed.
The paper presents an overview of available camera and laser work geometries in vision systems used for 3D image acquisition. Parameters defining the vision system resolution are discussed, and analysis and limitations resulting from the adopted system geometry are presented. An imaging resolution analysis was presented for each of the presented geometries. Occlusion phenomenon and its impact on 3D image recording were also discussed. The summary of the work includes a comparison of resolutions for different geometries of the 3D vision system and a comparison of the impact of occlusion on the quality of the recorded image.
The paper presents the results of application of high-speed and infrared cameras in the CNC machine diagnostics. Experimental studies were carried out using vision methods to measure the positioning of table and thermal expansion of screw realizing the feed of the milling table. The tests were conducted on machining centre HAAS MiniMill 2. Linear motion of table was recorded using the high speed camera Phantom 5.2. To determine the positioning error of work table in the function of temperature of the lead screw the infrared camera SC620 Flir was adopted. The positioning error and the maximum value of temperature the lead screw were determined.
KEYWORDS: 3D image processing, Inspection, Imaging systems, 3D acquisition, 3D metrology, Manufacturing, Control systems, Image resolution, Image analysis, Stereoscopy
This paper presents a review of methods used for acquisition of 3D images. Method used in 3D imaging in manufacturing quality inspection system are in detail disused. A specific classification of such methods into contact and contactless and into active and passive methods is given. Special attention is given for presentation examples of methods used for measurement and testing product in manufacturing systems. The summary of the work is a characteristic of the relationship between the measurement resolution and the size of the imaging field. This is a characteristic that allows you to choose the imaging method for the needs of the measurement task.
This paper presents the subject of using 3D images produced with the TOF technology in a task of automatic detection and location of obstacles in the machine workspace and on the production lines. The robotic station with a TOF sensor and an application for gathering spatial data is presented. Further on, a method of building a 3D image of the space with the TOF method is presented. The algorithm used to analyze the 3D image is discussed that provides initial processing of the image in terms of filtering and enhancing the characteristic properties of the image. The resolution of the 3D image is described in the context of the most common tasks executed in production lines. Moreover in this paper research about quality of measurement in variety of disruption which exist in industrial environment is presented. Solution of depiction in disturbed condition has been presented for chosen group of distortion.
The dissertation discusses the use of image analysis in the task of automated quality control of confectionery production - Skittles candies. The quality control of the sweets production presented in the article includes the evaluation of the shape of candies and the assessment of the quality of the glaze. The key element of shape control is to check the sweets for crumbled and cracked products. Glaze inspection, on the other hand, includes the assessment of cracks and discolorations arising on the surface. The dissertation presents briefly a method of image acquisition and discusses the method of image analysis and measurement of selected parameters that describes the shape as well as the quality of the glaze. The aim of the project was to prepare an automated control system of parameters for the food industry.
The article discusses the subject of the use of image analysis in the task of automated sorting of rice grains. The grains are sorted based on a parametric evaluation of the shape of grains and their size. Additionally, in the sorting operation, the colour of the grains associated with the degree of grain damage by fungi or mold may be used. This type of control is important both in the food industry and in the seed preparation process for farming. The article presents the method of recording 2D rice image and discusses the method of image analysis and measurement of selected parameters describing the shape and colour of the surface of rice grains. The aim of the project was to prepare an automated parameter control system for a wide range of grains used in the food industry and in agriculture intended for industrial use.
The article presents subject of using machine vision in order to automate quality control (QC) of wires and electric cable. QC include measurement of selected parameters of wires used for construction of electric cable, i.e. diameter of wires, length of crimped part as well as alignment of tested cable. Moreover, QC implicate surface defects analysis on both isolation surface and wire surface. The article provides detailed description of image acquisition for chosen cable series, image analysis method and measurement of selected parameters. The principal aim of the project is the construction of automatic system that control parameters of electric cable, designed to work in industrial conditions with frequency of 10Hz.
The paper presents the subject of 3D image utilization in the task of automated measurement and assessment of wear level of Qubitron II grinding wheels. An example of measuring geometrical parameters and parameters describing the working surface of the grinding wheel included three types of wheels. The tests were repeated for a dozen or so copies within each type in order to evaluate the possibility of using the 3D image of the surface for a quick assessment of its wear. The work presents a brief method of acquiring a 3D image of a grinding wheel surface using a laser triangulation method. The method of 3D image analysis and measurement of selected wheel parameters were discussed in detail. The aim of the imaging was to develop a fast and automated method of grinding wheel surface evaluation and to develop indicators describing its wear.
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