3D Vision Systems for Active Safety

2002 ◽  
Author(s):  
H. Riedel ◽  
A. V. Dahl ◽  
Chr. Lang ◽  
F. Zywitza ◽  
S. Marian
Keyword(s):  
Active Safety ◽  
Vision Systems ◽  
3D Vision

scholarly journals A New Method for Characterizing Bark Microrelief Using 3D Vision Systems

Forests ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 30 ◽  
Author(s):  
Andrzej Sioma ◽  
Jarosław Socha ◽  
Anna Klamerus-Iwan
Keyword(s):  
New Method ◽  
Vision Systems ◽  
3D Vision

A 3D Vision-Based Solution for Product Picking In Industrial Applications

2010 ◽  
pp. 190-208
Author(s):  
Mirko Sgarbi ◽  
Valentina Colla ◽  
Gianluca Bioli
Keyword(s):  
Robot Manipulator ◽  
Vision System ◽  
Conveyor Belt ◽  
Industrial Applications ◽  
Vision Systems ◽  
3D Vision ◽  
Key Factor ◽  
Control Assembly ◽  
Single Marker ◽  
Bin Picking

Computer vision is nowadays a key factor in many manufacturing processes. Among all possible applications like quality control, assembly verification and component tracking, the robot guidance for pick and place operations can assume an important role in increasing the automation level of production lines. While 3D vision systems are now emerging as valid solutions in bin-picking applications, where objects are randomly placed inside a box, 2D vision systems are widely and successfully adopted when objects are placed on a conveyor belt and the robot manipulator can grasp the object by exploiting only the 2D information. On the other hand, there are many real-world applications where the 3rd dimension is required by the picking system. For example, the objects can differ in their height or they can be manually placed in front of the camera without any constraint on the distance between the object and the camera itself. Although a 3D vision system could represent a possible solution, 3D systems are more complex, more expensive and less compact than 2D vision systems. This chapter describes a monocular system useful for picking applications. It can estimate the 3D position of a single marker attached to the target object assuming that the orientation of the object is approximately known.

Measurement errors in polarization-based 3D vision systems

1997 ◽  
Author(s):  
Bojian Liang ◽  
Andrew M. Wallace ◽  
Emanuele Trucco
Keyword(s):  
Measurement Errors ◽  
Vision Systems ◽  
3D Vision

A method for automatic calibration of 3D vision systems by means of high-resolution data

2010 ◽  
Vol 20 (2) ◽  
pp. 237-240
Author(s):  
V. K. De Wansa Wickramaratne ◽  
A. P. Vinogradov ◽  
V. V. Ryazanov ◽  
T. M. Dudnikova
Keyword(s):  
High Resolution ◽  
Automatic Calibration ◽  
Vision Systems ◽  
3D Vision ◽  
High Resolution Data ◽  
Resolution Data

Neuartige 3D-Visionssysteme auf der Basis 264 Layout-optimierter PMD-Strukturen/ Novel 3D-Vision Systems based on Layout Optimized PMD-Structures

1998 ◽  
Vol 65 (7-8) ◽  
Author(s):  
Rudolf Schwarte ◽  
Horst G. Heinol ◽  
Bernd Buxbaum ◽  
Zhanping Xu ◽  
Thorsten Ringbeck ◽  
...  
Keyword(s):  
Vision Systems ◽  
3D Vision

scholarly journals Autonomous metrology for robot mounted 3D vision systems

CIRP Annals ◽  
2017 ◽  
Vol 66 (1) ◽  
pp. 483-486 ◽  
Author(s):  
Peter Kinnell ◽  
Tom Rymer ◽  
John Hodgson ◽  
Laura Justham ◽  
Mike Jackson
Keyword(s):  
Vision Systems ◽  
3D Vision

scholarly journals Center of Gravity Coordinates Estimation Based on an Overall Brightness Average Determined from the 3D Vision System

2021 ◽  
Vol 12 (1) ◽  
pp. 286
Author(s):  
Radovan Holubek ◽  
Marek Vagaš
Keyword(s):  
Data Transfer ◽  
Vision System ◽  
Calibration Method ◽  
Correlation Factor ◽  
Performance Ratio ◽  
Processing Unit ◽  
Vision Systems ◽  
Camera System ◽  
3D Vision ◽  
Manufacturing Technologies

In advanced manufacturing technologies (including complex automated processes) and their branches of industry, perception and evaluation of the object parameters are the most critical factors. Many production machines and workplaces are currently equipped as standard with high-quality special sensing devices based on vision systems to detect these parameters. This article focuses on designing a reachable and fully functional vision system based on two standard CCD cameras usage, while the emphasis is on the RS 232C communication interface between two sites (vision and robotic systems). To this, we combine principles of the 1D photogrammetric calibration method from two known points at a stable point field and the available packages inside the processing unit of the vision system (as filtering, enhancing and extracting edges, weak and robust smoothing, etc.). A correlation factor at camera system (for reliable recognition of the sensed object) was set from 84 to 100%. Then, the pilot communication between both systems was proposed and then tested through CREAD/CWRITE commands according to protocol 3964R (used for the data transfer). Moreover, the system was proven by successful transition of the data into the robotic system. Since research gaps in this field still exist and many vision systems are based on PC processing or intelligent cameras, our potential research topic tries to provide the price–performance ratio solution for those who cannot regularly invest in the newest vision technology; however, they could still do so to stay competitive.

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