Design and simulation robotic arm with computer vision for inspection process

2021 ◽  
Author(s):  
Ghazi Alnowaini ◽  
Azmi Alttal ◽  
Ahmed Alhaj
Keyword(s):  
Computer Vision ◽  
Robotic Arm ◽  
Inspection Process

Control Algorithm for an Industrial Robotic Arm Using Computer Vision

2015 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Germán Buitrago Salazar ◽  
Olga Lucía Ramos ◽  
Dario Amaya
Keyword(s):  
Computer Vision ◽  
Control Algorithm ◽  
Robotic Arm

scholarly journals Computer Vision Based Industrial Robotic Arm for Sorting Objects by Color and Height

2020 ◽  
Vol 01 (04) ◽  
pp. 116-122
Author(s):  
Abu Salman Shaikat ◽  
Suraiya Akter ◽  
Umme Salma
Keyword(s):  
Computer Vision ◽  
Production Process ◽  
Production Systems ◽  
Robotic Arm ◽  
Cascade Algorithm ◽  
Manual Sorting ◽  
System Requirement ◽  
Conveyor Belts ◽  
Haar Cascade ◽  
A New Technique

In industrial production systems, manufacturers often face difficulties in sorting different types of objects. Color and height-based sorting which is done manually by human is quite a tedious task and its needs countless time as well. For manual sorting, many workers are required, which can be quite expensive. Moreover, robots that can sort only color or height can’t be effective when there is a need of products with same color with different heights and vice versa. In this paper, a computer vision based robotic sorter is proposed, which is capable of detecting and sorting objects by their colors and heights at the same time. This work isn’t done before as height sorting of same shapes is a new technique, which is done with color sorting techniques by computer vision. It is equipped with a robotic arm having 6 degree of freedom (DOF), by which it picks up and then place objects according to its color and height, to a predetermined place as per the production system requirement. A camera with the computer vision software detects various colors and heights. Haar Cascade algorithm has been used to sort the products. This multi-DOF robotic sorter can be a remarkably useful tool for automating the production process completely, where multiple conveyor belts are used, which can reduce time complexity as well. In the proposed system, the efficiency of color and height sorting is around 99%, which proves the efficiency of our system. The overall improvement in the efficiency of the production process can be significantly enhanced by using this system.

INSPECTION AND QUALITY CHECKING OF CERAMIC CUP USING MACHINE VISION TECHNIQUE: DESIGN AND ANALYSIS

2017 ◽  
Vol 79 (5-2) ◽  
Author(s):  
Nursabillilah Mohd Ali ◽  
Mohd Safirin Karis ◽  
Siti Azura Ahmad Tarusan ◽  
Gao-Jie Wong ◽  
Mohd Shahrieel Mohd Aras ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Machine Vision ◽  
Image Sensor ◽  
Histogram Method ◽  
Inspection Method ◽  
Inspection Process ◽  
Set Up ◽  
Vision Application ◽  
Vision Technique

The development of inspection and quality checking using machine vision technique are discussed where the design of the algorithm mainly to detect the sign of defect when a sample product is used for inspection purposes. There are several constraints that a machine need to be improved based on technology used in vision application. CMOS image sensor as well as programming language and open source computer vision library were used in designing the inspection method. Experimental set-up was conducted to test the proposed technique for evaluate the effectiveness process. The experimental results were obtained and represented in graphical and image processing form. Besides, analysis and discussion were made according to obtained results. The proposed technique is able to perform the inspection process using good and defect ceramic cup based on detection technique. Moreover, based on the analysis gathered, the proposed technique able to differentiate between good and defect ceramic cup. The result shows that there is a difference frequency by 236 which is 2% of total value in pixels frequency. The frequency indicated as pixel frequency of image using histogram method based on scaled value of image.

Induced virtual environment for control of a manipulator designed for working with radioactive materials

2021 ◽  
Vol 9 (1) ◽  
pp. 32-41
Author(s):  
Alexey Sergeev ◽  
Victor Titov ◽  
Igor Shardyko
Keyword(s):  
Computer Vision ◽  
Virtual Reality ◽  
Virtual Environment ◽  
Human Machine Interface ◽  
Robotic Arm ◽  
Radioactive Materials ◽  
End Effector ◽  
Machine Interface

This article discusses the control issues of a robotic arm for a hot cell based on the induced virtual reality methodology. A human-machine interface based on the virtual reality is presented, comprising a set of interactive features, designed to construct trajectories, along which the end effector of the arm should move. The prospects of computer vision are further considered as means that update the virtual environment state. An experiment to compare two approaches designed to control the robotic arm in virtual environment was carried out.

Efficient Object Selection Technique for a Robotized Kitchen

2011 ◽  
Vol 403-408 ◽  
pp. 4873-4879
Author(s):  
Mudit Srivastava ◽  
Anshul Vikram Pandey
Keyword(s):  
Computer Vision ◽  
Robotic Arm ◽  
Rfid Technology ◽  
Disabled People ◽  
Novel Object ◽  
Selection Technique ◽  
Object Selection ◽  
Central Location ◽  
Computer Vision Technology ◽  
Selection Of

This paper proposes a novel object selection technique for a robotized kitchen which provides autonomy to elderly and disabled people while working in kitchen. The interface uses touch screen technology, managed from a central location. The design consists of a robotic arm whose movement is controlled according to the selection of items made by the user. We have used RFID technology for unique identification of the objects and ‘Reverse Code’ for tracking purpose. Based on the response of RFID interrogator and ‘Reverse code’, the robotic arm picks and places the object at the desired location. The interface does not use computer vision technology and provides flexibility with the size of kitchen room. The design also provides several liberalities to the user in context to manual placing and aims at minimizing the errors and rectifying them autonomously to its maximum extent. The arm can also be programmed to select and place various objects required for a particular task, in a predefined manner. At the end of this paper, we have discussed the effectiveness of this system in countering some common errors.

Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm

2019 ◽  
Vol 16 (2) ◽  
pp. 026012 ◽  
Author(s):  
Xiaogang Chen ◽  
Bing Zhao ◽  
Yijun Wang ◽  
Xiaorong Gao
Keyword(s):  
Computer Vision ◽  
High Frequency ◽  
Robotic Arm

A Robotic Prototype for Spraying and Pollinating Date Palm Trees

2008 ◽  
Author(s):  
Amir Shapiro ◽  
Eran Korkidi ◽  
Amit Rotenberg ◽  
Gilad Furst ◽  
Harel Namdar ◽  
...  
Keyword(s):  
Computer Vision ◽  
Date Palm ◽  
Vision System ◽  
Robotic Arm ◽  
Computer Vision System ◽  
Automatic Apparatus ◽  
Palm Trees ◽  
Risk Of Injury ◽  
Computer Controlled ◽  
Standard Tractor

Spraying and pollinating date palm trees is currently done manually by a team of three workers from a platform lifted 18 meters or more above the ground. This method is extremely unsafe and many accidents have happened due to lack of stability when the platform is in a lifted position. Alternatively, date clusters are occasionally sprayed by a large pressurized sprayer directly from the ground, a method that is highly unselective and environmentally harmful. In this paper we present the concept of an automatic apparatus that can effectively and accurately spray and pollinate date clusters from a robotic apparatus mounted to a standard tractor operated by a single driver. The apparatus consists of a robotic arm and computer controlled sprayer, guided by a computer vision system that detects and localizes date clusters with a camera. This system will minimize risk of injury, significantly save manpower (from three to one person per team), and deliver the spray with maximum accuracy thereby reducing chemical disposure. A small scaled prototype has been built and is currently under preliminary experiments.

Sequential additive manufacturing: automatic manipulation of 3D printed parts

2017 ◽  
Vol 23 (4) ◽  
pp. 653-659 ◽  
Author(s):  
Rafael Vidal Aroca ◽  
Carlos E.H. Ventura ◽  
Igor De Mello ◽  
Tatiana F.P.A.T. Pazelli
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Robotic Arm ◽  
Automation System ◽  
3D Printer ◽  
Computer Vision System ◽  
Content Type ◽  
3D Print ◽  
Speeded Up Robust Features ◽  
3D Printers

Purpose This paper aims to present a monitoring system and the usage of a robotic arm to remove finished parts of a three-dimensional (3D) printer build plate, enabling 3D printers to continuously build a sequence of parts. Design/methodology/approach The system relies on a 2-degree of freedom planar manipulator. The moment to remove printed parts from the printer build plate can be determined based on direct communication with the 3D printer control software or using information from a computer vision system that applies background subtraction and Speeded up Robust Features methods. Findings The proposed system automatically detects the end of standard 3D print jobs and controls the robotic arm to remove the part. Research limitations/implications Lighting variation can deteriorate the response of the computer vision system, which can be minimized using a controlled illumination environment. In addition, the printer build plate edges must be free so the parts can slip off the printer build plate when the robot pushes them out. Practical implications The system enables a more practical and automatized usage of 3D printers, reducing the need of human operators. Social implications The proposed system can reduce work hours of laboratory personnel, as there is no need to remove the printed parts manually before another job starts. Originality/value Computer vision system monitors the printing process and the automation system that enables continuous sequential 3D printing of parts. A prototype is described, which can be easily replicated with low cost parts.

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