scholarly journals The 2D Barcodes Identify the Workpieces by using Microcontroller Interface between Image Processing and PLC Machine

2021 ◽  
Vol 18 (18) ◽  
Author(s):  
Napassadol SINGHATA
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Vision System ◽  
Digital Signal ◽  
Core Component ◽  
Correct Position ◽  
Processing Methods ◽  
2D Barcode ◽  
Additional Equipment ◽  
Web Camera

This paper focuses on 3 main subjects; the first is the presentation and implementation of a PLC concept as a core component to control the system in the industry. The next subject of this work involves some tests to detect 2D barcodes with a web camera on 5 similar workpieces. It is difficult to classify and detect 2D barcodes since they are small about a size of 0.5×0.5 cm2 patterned squares. The last part of the paper presents the implementation of a technique by using a microcontroller to link between a vision system and PLC. This method can be used in an old type of PLC without an additional equipment in the PLC, which can be connected to various types of cameras. The results of the system test show that the vision system can operate in the automatic classifying machine of the PLC controller. The machine vision can classify similar workpieces by using small 2D barcodes with image processing methods. The workpieces are stored in the correct position of 5 boxes in the storage compartment. This method of using a microcontroller interface with image processing and the PLC was successful. HIGHLIGHTS Web camera sensor read 2D barcodes Decoding 2D barcode and transform to digital signal Incorporating image processing into PLC system by using microcontroller and relay Transform signal into PLC processing to classifying the workpieces GRAPHICAL ABSTRACT

Fast and Robust Vision System for Shogi Robot

2015 ◽  
Vol 27 (2) ◽  
pp. 182-190
Author(s):  
Gou Koutaki ◽  
◽  
Keiichi Uchimura
Keyword(s):  
Image Processing ◽  
Vision System ◽  
Low Cost ◽  
Robot Arm ◽  
Image Processing Algorithm ◽  
Robot System ◽  
Cost System ◽  
Robot Systems ◽  
Web Camera ◽  
Lower Frame

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270002/08.jpg"" width=""150"" />Developed shogi robot system</div> The authors developed a low-cost, safety shogi robot system. A Web camera installed on the lower frame is used to recognize pieces and their positions on the board, after which the game program is played. A robot arm moves a selected piece to the position used in playing a human player. A fast, robust image processing algorithm is needed because a low-cost wide-angle Web camera and robot are used. The authors describe image processing and robot systems, then discuss experiments conducted to verify the feasibility of the proposal, showing that even a low-cost system can be highly reliable. </span>

Application of Halcon in Digital Image and Signal

2014 ◽  
Vol 716-717 ◽  
pp. 1338-1340
Author(s):  
Yang Ming He ◽  
Yan Qiu He ◽  
Guang Yao Xiong ◽  
Ming Feng Zhu
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Data Processing ◽  
Digital Image ◽  
Pulse Signal ◽  
Digital Signal ◽  
Digital Data ◽  
Moving Targets ◽  
Processing Problem ◽  
Digital Data Processing

Halcon is a machine vision software. It can process all kinds of image processing problem. In this paper, Halcon is used to process moving targets detection, from which it can be seen how the software Halcon is used to process digital image. The algorithm includes region_ growing algorithm, image filtering and morphological operators, etc. The software Halcon can be used in digital signal, too. In the end, it is used to process pulse signal. The result shows that Halcon has powerful functions in digital data processing.

scholarly journals Wear and Breakage Detection of Integral Spiral End Milling Cutters Based on Machine Vision

Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5690
Author(s):  
Wenming Wei ◽  
Jia Yin ◽  
Jun Zhang ◽  
Huijie Zhang ◽  
Zhuangzhuang Lu
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
End Milling ◽  
Image Acquisition ◽  
Acquisition System ◽  
Moving Frame ◽  
Light Sources ◽  
Complex Structures ◽  
Processing Methods ◽  
Image Acquisition System

Tool wear and breakage detection technologies are of vital importance for the development of automatic machining systems and improvement in machining quality and efficiency. The monitoring of integral spiral end milling cutters, however, has rarely been investigated due to their complex structures. In this paper, an image acquisition system and image processing methods are developed for the wear and breakage detection of milling cutters based on machine vision. The image acquisition system is composed of three light sources and two cameras mounted on a moving frame, which renders the system applicable in cutters of different dimensions and shapes. The images captured by the acquisition system are then preprocessed with denoising and contrast enhancing operations. The failure regions on the rake face, flank face and tool tip of the cutter are extracted with the Otsu thresholding method and the Markov Random Field image segmentation method afterwards. Eventually, the feasibility of the proposed image acquisition system and image processing methods is demonstrated through an experiment of titanium alloy machining. The proposed image acquisition system and image processing methods not only provide high quality detection of the integral spiral end milling cutter but can also be easily converted to detect other cutting systems with complex structures.

scholarly journals An Automatic Machine Vision-Guided System for the Propagation of Potato Test-Tube Plantlets

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xu Shengyong ◽  
Peng Biye ◽  
Wu Haiyang ◽  
Li Fushuai ◽  
Cai Xingkui ◽  
...  
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Vision System ◽  
Image Acquisition ◽  
Processing System ◽  
Test Tube ◽  
Automatic Machine ◽  
Node Point ◽  
Acquisition Device ◽  
Image Acquisition Device

In manually propagating potato test-tube plantlets (PTTPs), the plantlet is usually grasped and cut at the node point between the cotyledon and stem, which is hardly located and is easily damaged by the gripper. Using an agricultural intelligent robot to replace manual operation will greatly improve the efficiency and quality of the propagation of PTTPs. An automatic machine vision-guided system for the propagation of PTTPs was developed and tested. In this paper, the workflow of the visual system was designed and the image acquisition device was made. Furthermore, the image processing algorithm was then integrated with the image acquisition device in order to construct an automatic PTTP propagation vision system. An image processing system for locating a node point was employed to determine a suitable operation point on the stem. A binocular stereo vision algorithm was applied to compute the 3D coordinates of node points. Finally, the kinematics equation of the three-axis parallel manipulator was established, and the three-dimensional coordinates of the nodes were transformed into the corresponding parameters X, Y, and Z of the three driving sliders of the manipulator. The experimental results indicated that the automatic vision system had a success rate of 98.4%, 0.68 s time consumed per 3 plants, and approximate 1 mm location error in locating the plantlets in an appropriate position for the medial expansion period (22 days).

scholarly journals Diseño e implementación de un sistema de visión por computadora para el reconocimiento de objetos en movimiento

2019 ◽  
pp. 1-13
Author(s):  
Franco Javier Torres-Becerra ◽  
Miguel Angel Guzman-Altamirano ◽  
Jesús Hazael Garcia-Gallegoz ◽  
Javier Gustavo Cabal-Velarde
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Digital Filters ◽  
Vision System ◽  
Image Transformation ◽  
Computer Vision System ◽  
Geometric Figures ◽  
Web Camera ◽  
Controlled Environments ◽  
Black Color

In this work we developed a computer vision system that allow the geometric figures recognition in real time using a web camera, also the identification of the objects size using a known object. To make this possible we used several techniques of the digital image processing as gray scale filters because that’s the first step to start the image processing, threshold to make the image transformation in binary form where 1 is the white color and 0 the black color, edge detection to detect the edges of the figures therefore an important parameter is the noise cancelation of the obtained signals, that’s the reason of the using of digital filters because those allow the oscillation cancelation in the signals. The possible application can be the microorganism detection in controlled environments accord of its morphology also the change of its area in real time.

Reconfigurable architectures for parallel execution of image processing tasks

2007 ◽  
Vol 15 (4) ◽  
Author(s):  
M. Gorgoń
Keyword(s):  
Image Processing ◽  
Vision System ◽  
Research Work ◽  
Digital Signal ◽  
General Purpose ◽  
Parallel Execution ◽  
High Definition ◽  
Reconfigurable Computers ◽  
Fine Grain ◽  
Definition Of

AbstractReconfigurable computers are becoming third, after general purpose processors and digital signal processors, programmable computing systems. In the present paper, a new definition of parallelism adequate for fine-grain parallel systems is introduced. Computing power requirements for high definition, real-time vision system are discussed. A survey of reconfigurable solutions for image processing and the latest research work carried on at the AGH Laboratory of Biocybernetics are presented.

scholarly journals An Industrial Vision System to Analyze the Wear of Cutting Tools

2017 ◽  
Vol 869 ◽  
pp. 183-194
Author(s):  
Christina Gillmann ◽  
Tobias Post ◽  
Benjamin Kirsch ◽  
Thomas Wischgoll ◽  
Jörg Hartig ◽  
...  
Keyword(s):  
Image Processing ◽  
Cutting Tool ◽  
Wear Behavior ◽  
Vision System ◽  
Cutting Tools ◽  
Processing Methods ◽  
Comparative Visualization ◽  
Image Series ◽  
Measurement And Evaluation

The wear behavior of cutting tools directly affects the quality of the machined part. The measurement and evaluation of wear is a time consuming and process and is subjective. Therefore, an image-based wear measure that can be computed automatically based on given image series of cutting tools and an objective way to review the resulting wear is presented in this paper. The presented method follows the industrial vision system pipeline where images of cutting tools are used as input which are then transformed through suitable image processing methods to prepare them for the computation of a novel image based wear measure. For multiple cutting tool settings a comparative visualization of the wear measure outputs is presented. The effectiveness of the presented approach is shown by applying the method to measure the wear of four different cutting tool shapes.

Research of Machine Vision System about Robot Soccer Based on the HSV

2010 ◽  
Vol 121-122 ◽  
pp. 807-812
Author(s):  
Sheng Rong Lu ◽  
Huan Long Guo
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Process Design ◽  
Vision System ◽  
Processing Technology ◽  
Machine Vision System ◽  
Identification Process ◽  
Image Access ◽  
Processing Factors ◽  
Rgb Image

In this paper, including the introduction of image processing and image processing factors influence the discussion, after the RGB image access to the transformation of HSV, mainly through the robot to select the image of the identification process design, completed the capture of a robot A specific color of the entity, after the robot moves to give you accurate basis for the judgment. First of all, the introduction for images on the basis of the relevant knowledge is presented. Second, the image and the image of the divisions are briefly introduced. Third, we proposed the image factors and image processing technology. Fourth, conversion from RGB to HSV model is presented. Finally, we designed the image of the robot to access and identify procedures modular.

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