A real-time automated sorting of robotic vision system based on the interactive design approach

Abbood, Wisam T.; Abdullah, Oday I.; Khalid, Enas A.

doi:10.1007/s12008-019-00628-w

Cited by 29 publications

(14 citation statements)

References 27 publications

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“…The investigated systems were developed for either pickand-place applications [5,12,19,20] or production inspections (i.e., [4] and this work). For planar manipulations [5,12], image-based object recognition would be enough; on the other hand, 3D scanning was utilized for recognizing the objects that were either randomly placed (i.e., [20] and this work) or had arbitrary shapes [19]. The challenges of the robot manipulations increased as the objects Sensors 2020, 20, x FOR PEER REVIEW 9 of 14 mark would be measured during the object following and inline inspection to show the accuracy of the optical inspection.…”

Section: Experiments and Results Of The Proposed Inline Inspectionmentioning

confidence: 99%

“…For planar manipulations [5,12], image-based object recognition would be enough; on the other hand, 3D scanning was utilized for recognizing the objects that were either randomly placed (i.e., [20] and this work) or had arbitrary shapes [19]. The challenges of the robot manipulations increased as the objects were placed in a moving platform (i.e., [5] and this work). The comparison in Table 3 showed that the presented IIIR delivered a unique ability to recognize randomly placed objects in a moving platform with good accuracy (i.e., relative speed between camera and object = 0.3358 mm/s = 5.6 micron/frame for a 60-fps camera), which is important for the inline inspection in a mass-customization production line.…”

Section: Experiments and Results Of The Proposed Inline Inspectionmentioning

confidence: 99%

“…Sensors 2020, 20, x FOR PEER REVIEW 10 of 14 were placed in a moving platform (i.e., [5] and this work). The comparison in Table 3 showed that the presented IIIR delivered a unique ability to recognize randomly placed objects in a moving platform with good accuracy (i.e., relative speed between camera and object = 0.3358 mm/s = 5.6 micron/frame for a 60-fps camera), which is important for the inline inspection in a masscustomization production line.…”

Section: Experiments and Results Of The Proposed Inline Inspectionmentioning

confidence: 99%

“…The end effector position was determined based on an image-based Jacobian approach. Abbood, et al [5] used a camera and some image-processing techniques to identify the shape of an object in a moving conveyor. A low-cost system based on a simple robot arm with plastic gears and servo motors was built to demonstrate the concept of picking objects at a slow moving speed of less than 9 cm/s.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Inline Inspection with an Industrial Robot (IIIR) for Mass-Customization Production Line

Lin

Chang

et al. 2020

Sensors

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Robots are essential for the rapid development of Industry 4.0. In order to truly achieve autonomous robot control in customizable production lines, robots need to be accurate enough and capable of recognizing the geometry and orientation of an arbitrarily shaped object. This paper presents a method of inline inspection with an industrial robot (IIIR) for mass-customization production lines. A 3D scanner was used to capture the geometry and orientation of the object to be inspected. As the object entered the working range of the robot, the end effector moved along with the object and the camera installed at the end effector performed the requested optical inspections. The detailed information about the developed methodology was introduced in this paper. The experiments showed there was a relative movement between the moving object and the following camera and the speed was around 0.34 mm per second (worst case was around 0.94 mm per second). For a camera of 60 frames per second, the relative moving speed between the object and the camera was around 6 micron (around 16 micron for the worst case), which was stable enough for most industrial production inspections.

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Section: Experiments and Results Of The Proposed Inline Inspectionmentioning

confidence: 99%

Section: Experiments and Results Of The Proposed Inline Inspectionmentioning

confidence: 99%

Section: Experiments and Results Of The Proposed Inline Inspectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Inline Inspection with an Industrial Robot (IIIR) for Mass-Customization Production Line

Lin

Chang

et al. 2020

Sensors

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“…A high number of researchers [27][28][29][30][31][32][33] in different engineering fields applied the interactive design way to discover the most effective solution to improving the products or producing process.…”

Section: The Interactive Design Of Automated Filling Machinementioning

confidence: 99%

Development of automated liquid filling system based on the interactive design approach

Abdullah¹,

Abbood²,

Hussein³

2020

FME Transactions

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The automatic liquid filling system is used in different applications such as production of detergents, liquid soaps, fruit juices, milk products, bottled water, etc. The automatic bottle filling system is highly expensive. Where, the common filling systems required to complex changes in hardware and software in order to modify volume of liquid. There are many important variables in the filling process such as volume of liquid, the filling time, etc. This paper presents a new approach to develop an automatic liquid filling system. The new proposed system consists of a conveyor subsystem, filling stations, and camera to detect the level of the liquid at any instant during the filling process. The camera can detect accurately the level of liquid based on the imaging process technique (Edge Detection Approach). In order to achieve the aim of this work, Arduino board is used as the controller unit in the automatic operation of developed filling system. The developed automatic liquid filling system is designed to be not expensive compared to the other available filling systems on the markets. The system is also easy to operate and user-friendly,where only simple steps are required to operate the filling system or modify the working condition.It was found, based on results, that the Prewitt edge detection is the optimal method that should be applied to obtain high accuracy of results and quick response of developed system.

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Design of Control System of Automated Production Line Based on PLC and Robot

Tan¹,

Chen²,

Radhakrishnan³

2023

Lecture Notes on Data Engineering and Communications Technologies

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A real-time automated sorting of robotic vision system based on the interactive design approach

Cited by 29 publications

References 27 publications

Inline Inspection with an Industrial Robot (IIIR) for Mass-Customization Production Line

Inline Inspection with an Industrial Robot (IIIR) for Mass-Customization Production Line

Development of automated liquid filling system based on the interactive design approach

Design of Control System of Automated Production Line Based on PLC and Robot

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