Classification of Solid Objects with Defined Shapes Using Stereoscopic Vision and a Robotic Arm

Author(s):  
Fernando Medina ◽  
Belen Nono ◽  
Hugo Banda ◽  
Andres Rosales
Author(s):  
Asha Vijayan ◽  
Hareesh Singanamala ◽  
Bipin Nair ◽  
Chaitanya Medini ◽  
Chaitanva Nutakki ◽  
...  
Keyword(s):  

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Milan Šljivić ◽  
Dragoljub Mirjanić ◽  
Nataša Šljivić ◽  
Cristiano Fragassa ◽  
Ana Pavlović

The Additive manufacturing 3D printing is a process of creating a three dimensional solid objects or rapid prototyping of 3D models from a digital file, which builds layer by layer. The 3D bioprinting is a form sophisticated of 3D printing technology involving cells and tissues for the production of tissue for regenerative medicine, which is also built layer by layer into the area of human tissue or organ. This paper defines the modern methods and materials of the AM, which are used for the development of physical models and individually adjusted implants for 3D printing for medical purposes. The main classification of 3D printing and 3D bioprinting technologies are also defined by typical materials and a field of application. It is proven that 3D printing and 3D bioprinting techniques have a huge potential and a possibility to revolutionize the field of medicine.


Author(s):  
V. A. Ganchenko ◽  
E. E. Marushko ◽  
L. P. Podenok ◽  
A. V. Inyutin

This article describes evaluation the information content of metal objects surfaces for classification of fractures using 2D and 3D data. As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, macrogeometric descriptors of metal objects digitized by a 3D scanner are considered. The analysis carried out on basis of information content estimation to select the features that are most suitable for solving the problem of metals fractures classification. The results will be used for development of methods for complex forensic examination of complex polygonal surfaces of solid objects for automated system for analyzing digital images.


2019 ◽  
pp. 1-7
Author(s):  
Rafael Luna-Puente ◽  
Rosa Janette Peréz-Chimal ◽  
Carlos Hernández –Mosqueda ◽  
Jorge Ulises Muñoz-Minjarez

The use of automated machines and its manipulation using artificial intelligence is increasingly common to perform routine tasks within the industrial field. The present work aims to show the automation of a robotic arm, its monitoring and control using a web server and a Human Machine Interface (HMI) screen. For this work a robotic arm MITSUBISHI was programmed for the classification of pieces based on their color. Subsequently, this system is monitored and controlled employing the programming of a web page and the design of an HMI created using the TIA-Portal software. As a result of this methodology, a complete system of industry 4.0 will be obtained, which can be implemented to control and monitor a robotic arm using a HMI screen and Web Server in the current industry. The systems used to carry out the control were a PLC S300 (cpu313C 2 DP) with ASI CP 343 2 DP network card, with 5 slaves, Keypad (Slave 1) Module 2DI (Slave 2), Optoreflexive Sensor (Slave 3) Set of valves FESTO (Slave 4) Modules2DI 2DO (Slave 5) 2DO an S1200 PLC (CPU 1214 C DC / DC / DC) an HMI screen (KTP600 Basic Mono DP) as color sort.


Perception ◽  
1982 ◽  
Vol 11 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Kōkichi Sugihara

A mathematical scheme is proposed for the classification of impossible objects. Impossible objects are usually defined from a psychological point of view as mental images of ‘solid objects’ which cannot exist in a real three-dimensional world. From the mathematical point of view, however, various kinds of impossibility can be observed in such objects, and they are classified according to the kinds of impossibility they possess. Since impossible objects are treated in a purely mathematical way, the results afford a powerful basis for the psychological study of human visual perception of impossible objects. Several psychological problems arising from the present results are also discussed.


Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3783
Author(s):  
Ben Harel ◽  
Rick van Essen ◽  
Yisrael Parmet ◽  
Yael Edan

The effect of camera viewpoint and fruit orientation on the performance of a sweet pepper maturity level classification algorithm was evaluated. Image datasets of sweet peppers harvested from a commercial greenhouse were collected using two different methods, resulting in 789 RGB—Red Green Blue (images acquired in a photocell) and 417 RGB-D—Red Green Blue-Depth (images acquired by a robotic arm in the laboratory), which are published as part of this paper. Maturity level classification was performed using a random forest algorithm. Classifications of maturity level from different camera viewpoints, using a combination of viewpoints, and different fruit orientations on the plant were evaluated and compared to manual classification. Results revealed that: (1) the bottom viewpoint is the best single viewpoint for maturity level classification accuracy; (2) information from two viewpoints increases the classification by 25 and 15 percent compared to a single viewpoint for red and yellow peppers, respectively, and (3) classification performance is highly dependent on the fruit’s orientation on the plant.


1988 ◽  
Vol 32 (19) ◽  
pp. 1439-1442 ◽  
Author(s):  
James S. Tittle ◽  
Michael W. Rouse ◽  
Myron L. Braunstein

Although most tasks performed by human observers that require accurate stereoscopic depth perception, such as working with tools, operating machinery, and controlling vehicles, involve dynamically changing disparities, classification of observers as having normal or deficient stereoscopic vision is currently based on performance with static stereoscopic displays. The present study compares the performance of subjects classified as deficient in static stereoscopic vision to a control group with normal stereoscopic vision in two experiments-one in which the disparities were constant during motion and one in which the disparities changed continuously. In the first experiment, subjects judged orientation in depth of a dihedral angle, with the apex pointed toward or away from them. The angle translated horizontally, leaving the disparities constant. When disparity and motion parallax were placed in conflict, subjects in the normal group almost always responded in accordance with disparity, whereas subjects in the deficient group responded in accordance with disparity at chance levels. In the second experiment, subjects were asked to judge the direction of rotation of a computer-generated cylinder. When dynamic occlusion and dynamic disparity indicated conflicting directions, performance of subjects in the normal and deficient groups did not differ significantly. When only dynamic disparity information was provided, most subjects classified as stereo deficient were able to judge the direction of rotation accurately. These results indicate that measures of stereoscopic vision that do not include changing disparities may not provide a complete evaluation of the ability of a human observer to perceive depth on the basis of disparity.


1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.


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