scholarly journals Study on image processing method to classify objects on dynamic conveyor

2020 ◽  
Vol 2 (SI2) ◽  
pp. First
Author(s):  
Huy Ngoc Tran
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Object Identification ◽  
Industrial Robots ◽  
Robotic Arm ◽  
Robot Arm ◽  
Vision Sensor ◽  
Image Processing Algorithm ◽  
Product Packaging ◽  
Object A

Controlling a robotic arms for applications such as detection and classification moving object using the vision sensor is a trend in the field of industrial robots. In particular, the vision sensor is the "eye" of the robot. To solve this problem, we need an efficient image processing algorithm for object identification to optimize the speed. Our classification principle based on the color of the object to be classified first, then separating contour to classify according to the shape of the object. In addition, our paper also propose a classification method that rarely mentioned in the relevant documents that classify based on object's characteristic. In fact, the product packaging not only has one color, but also includes complex color and patterns. Being able to classify these products shows the practicality of the proposed method. For complex colors and patterns object, the PCASIFT algorithm is useful, where SIFT extracts the local characteristics of the object and PCA reduces the number of dimensionality and retain only the best characteristics for identification. To picking object, a proposed design with the optimal requirements of picking order so that picking time is the shortest to minimize the delay for the next picking. The other outstanding advantage is a system of robotic arm to perform pick-up and sorting. This helps to verify good running algorithms in real time. The items are randomly released and the rotation of items is random. The speed of the conveyor is 5cm/s, an average of more than 2 seconds to pick up an object and robot arm processing precisely at high speed. The experimental results using camera Logitech C270, Yamaha Scara YK-400X robotic arm, LabVolt conveyor and OpenCV library are satisfactory, reliable and applicable.

scholarly journals An Image-Processing Method for Extracting Kinematic Characteristics of Droplets during Pulsed GMAW

2019 ◽  
Vol 9 (24) ◽  
pp. 5481 ◽  
Author(s):  
Peizhuo Zhai ◽  
Songbai Xue ◽  
Tao Chen ◽  
Jianhao Wang ◽  
Yu Tao
Keyword(s):  
Image Processing ◽  
Monitoring System ◽  
High Speed ◽  
Gas Metal Arc Welding ◽  
Processing Algorithm ◽  
Automatic Welding ◽  
Threshold Method ◽  
Image Processing Algorithm ◽  
Kinematic Characteristics ◽  
Metal Arc Welding

Pulsed gas metal arc welding (GMAW) is widely applied in industrial manufacturing. The use of pulsed GMAW was found superior to the traditional direct-current (DC) welding method with respect to spatter, welding performance, and adaptability of all-position welding. These features are closely related to the special pulsed projected metal transfer process. In this paper, a monitoring system based on a high-speed camera and laser backlight is proposed. High-quality images with clear droplets and a translucent arc can be obtained at the same time. Furthermore, a novel image-processing algorithm is proposed in this paper, which was successfully applied to remove the interference of the arc. As a result, the edge and region of droplets were precisely extracted, which is not possible using only the threshold method. Based on the algorithm, centroid coordinates of undetached and detached droplets can be calculated, and more parameters of the kinematic characteristics of droplets can be derived, such as velocity, acceleration, external force, and momentum. The proposed monitoring system and image-processing algorithm give a simple and feasible way to investigate kinematic characteristics, which can provide a new method for possible applications in studying mathematic descriptions of droplet flight trajectory and developing a precise automatic welding system.

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>

scholarly journals Efficiency Comparison between Robotic Manipulator Configurations for Trajectory/Path Tracing

2020 ◽  
Vol 10 (11) ◽  
pp. 56-60
Author(s):  
Joshua Laber ◽  
◽  
Ravindra Thamma
Keyword(s):  
Global Economy ◽  
High Speed ◽  
Industrial Robots ◽  
Robotic Arm ◽  
Manufacturing Companies ◽  
Robotic Arms ◽  
Repetitive Tasks ◽  
Pick And Place ◽  
Efficiency Comparison ◽  
Speed And Accuracy

In automation, manufacturing companies require high speed and efficiency to remain competitive in the global economy. One of the most popular ways to increase precision, speed, and accuracy is to implement industrial robotic arms. As of 2020, 2.7 million industrial robots are in operation worldwide. A robotic arm is a machine used to automatic repetitive tasks by manipulating tools or parts in the space around it. Businesses use robotic arms for many operations including pick and place, machining, welding, precision soldering, and other tasks. But with all the different types and configurations of robotic arms, the question remains: What arm would best suit the task at hand? This paper examines and compares three commonly available types of robotic arm: 5-DoF, 6-DoF, and SCARA to compare which are most efficient in tracing paths.

Development and evaluation of an image processing algorithm for monitoring fiber laser fusion cutting by a high-speed camera

2021 ◽  
Vol 33 (3) ◽  
pp. 032004
Author(s):  
Max Schleier ◽  
Benedikt Adelmann ◽  
Cemal Esen ◽  
Uwe Glatzel ◽  
Ralf Hellmann
Keyword(s):  
Image Processing ◽  
Fiber Laser ◽  
High Speed ◽  
Processing Algorithm ◽  
Laser Fusion ◽  
High Speed Camera ◽  
Image Processing Algorithm ◽  
Laser Fusion Cutting

scholarly journals Safe Collaboration Between Human and Robot in a Context of Intermittent Haptique Interface

2021 ◽  
Author(s):  
Stanley Mugisha ◽  
Matteo Zoppi ◽  
Rezia Molfino ◽  
Vamsi Guda ◽  
Christine Chevallereau ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Industrial Robots ◽  
Robotic Arm ◽  
Dominant Hand ◽  
Haptic Interfaces ◽  
Motion Generation ◽  
Object A ◽  
Head Mounted Display ◽  
Area Of Interest ◽  
The One

Abstract In the list of interfaces used to make virtual reality, haptic interfaces allow users to touch a virtual world with their hands. Traditionally, the user’s hand touches the end effector of a robotic arm. When there is no contact, the robotic arm is passive; when there is contact, the arm suppresses mobility to the user’s hand in certain directions. Unfortunately, the passive mode is never completely seamless to the user. Haptic interfaces with intermittent contacts are interfaces using industrial robots that move towards the user when contact needs to be made. As the user is immersed via a virtual reality Head Mounted Display (HMD), he cannot perceive the danger of a collision when he changes his area of interest in the virtual environment. The objective of this article is to describe movement strategies for the robot to be as fast as possible on the contact zone while guaranteeing safety. This work uses the concept of predicting the position of the user through his gaze direction and the position of his dominant hand (the one touching the object). A motion generation algorithm is proposed and then applied to a UR5 robot with an HTC vive tracker system for an industrial application involving the analysis of materials in the interior of a car.

scholarly journals On Image Processing Algorithm for Registration of Three-Dimensional Gas Bubble Movement Using a High Speed Camera

2019 ◽  
Vol 8 (02) ◽  
pp. 24473-24483
Author(s):  
Jakub Augustyniak ◽  
Dariusz Mariusz Perkowski
Keyword(s):  
Image Processing ◽  
Measurement Error ◽  
Computer Tomography ◽  
High Speed ◽  
Flow Analysis ◽  
Gas Bubble ◽  
High Speed Camera ◽  
Image Processing Algorithm ◽  
Two Phase ◽  
Tomography Method

The paper deals with an imaging computer tomography method based on simple image processing techniques for two phase flow analysis. Moreover, it has been presented the algorithm of 3D bubble trajectory reconstruction using a single high speed camera and the system of mirrors. In the experiment a glass tank filled with distilled water was used. The nozzle through which the bubbles were generated was placed in the center of the tank bottom. Through the use of basic image processing and analysis techniques such as noise reduction, smoothing, edge detection and few algorithms like close contour filling, tracking single bubble etc. proposed in paper it became possible to draw out 3D trajectories for gas bubble paths in liquid. In the paper the measurement error of imaging computer tomography method has been estimated. The maximum measurement error recorded for this method was within the limits ±0,65 [mm] for a certain set of parameters like: resolution, mirror angle and deviation error of z axis from the 90o vertical line. Trajectories of subsequently departing bubbles were visualized in the form of figures.

Image Processing Algorithm for the Manipulation of Object Using 3D Sensor

2013 ◽  
Vol 319 ◽  
pp. 312-315
Author(s):  
Dong Whan Kim ◽  
Jong Eun Ha
Keyword(s):  
Image Processing ◽  
Vertical Plate ◽  
Vertical Plane ◽  
Object Manipulation ◽  
Processing Algorithm ◽  
Robot Arm ◽  
Image Processing Algorithm ◽  
Object Matching ◽  
Invariant Moments

Recently, cheap 3D sensor such as Kinect is widely used in diverse applications. In this paper, we use Kinect as the 3D sensor for the object manipulation using robot arm. Our target is insert objects on the horizontal table into the corresponding location on the hole in the vertical plate. First, we find two dominant planes corresponding to the horizontal and vertical table by processing 3D points by Kinect. Then, we find each object on the horizontal table using contour processing. Also, object on the vertical plane is processed using the same algorithm. Finally, object matching is done using Hu invariant moments.

scholarly journals Improvement of Auto-Tracking Mobile Robot based on HSI Color Model

2018 ◽  
Vol 12 (3) ◽  
pp. 1349 ◽  
Author(s):  
Suresh Sundarajoo ◽  
Ahmad Shahrizan Abdul Ghani
Keyword(s):  
Mobile Robot ◽  
Light Level ◽  
Object Identification ◽  
Color Model ◽  
Vision Sensor ◽  
Image Processing Algorithm ◽  
Filtering Algorithm ◽  
Dc Motors ◽  
Hsi Color Model ◽  
Tracking Device

<p>Auto tracking mobile robot is a device that able to detect and track a target. For an auto tracking device, the most crucial part of the system is the object identification and tracking of the moving targets. In order to improve the accuracy of identification of object in different illumination and background conditions, the implementation of HSI color model is used in image processing algorithm. In this project HSI-based color filtering algorithm were used for object identification. This is because HSI parameter are more stable in different light and background conditions, so it is selected as the main parameters of this system. Pixy CMUcam5 is used as the vision sensor while Arduino Uno as the main microcontroller that controls all the input and output of the device. Besides that, L293D is used as the motor driver to control the movement of two DC motors that attached to the wheel of the robot. Moreover, two servo motors were used to control the pan-tilt movement of the vision sensor. Experimental results demonstrate that when HSI color-based filtering algorithm is applied to visual tracking it improves the accuracy and stability of tracking under the condition of varying brightness, or even in the low-light-level environment. Besides that, this algorithm also prevents tracking loss due to object color appears in the background.</p>

scholarly journals Conceptual Design of a High-Speed Wire EDM Robotic End-Effector Based on a Systematic Review Followed by TRIZ

Machines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 132
Author(s):  
Sergio Tadeu Almeida ◽  
John Mo ◽  
Cees Bil ◽  
Songlin Ding ◽  
Xiangzhi Wang
Keyword(s):  
High Speed ◽  
Dimensional Accuracy ◽  
Research Field ◽  
Industrial Robots ◽  
Cnc Machining ◽  
Surface Finishing ◽  
Robot Arm ◽  
Technical Problems ◽  
End Effector ◽  
Robotic Machining

Exotic materials such as titanium offer superior characteristics that, paradoxically, make them hard-to-cut by conventional machining. As a solution, electric discharge machining (EDM) stands out as a non-conventional process able to cut complex profiles from hard-to-cut materials, delivering dimensional accuracy and a superior surface. However, EDM is embodied in CNC machines with a reduced axis and machining envelope, which constrains design freedom in terms of size and shape. To overcome these CNC constraints, traditional machining using six-axis industrial robots have become a prominent research field, and some applications have achieved cost efficiency, an improved envelope, and high flexibility. However, due to the lack of stiffness and strength of the robot arm, accuracy, material rate removal, and surface finishing are not comparable to CNC machining. Therefore, the present study investigates the design of a novel WEDM combined with six-axis robotic machining to overcome the limitations of traditional robotic machining and enhance EDM applications. This study extends the work of a conference paper to confirm potential outcomes, quantifying and ranking undesired interactions to map technical problems and applying the TRIZ approach to trigger solutions. Finally, an effective robotic end-effector design is proposed to free EDM from CNC and deliver robotic machining as a flexible and accurate machining system for exotic materials.

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