Computer Vision Algorithm for Collision Detection in Case of Industrial Environment

2017 ◽  
Vol 1143 ◽  
pp. 200-203
Author(s):  
Florin Bogdan Marin ◽  
Ionel Petrea ◽  
Madalin Deacu

This paper presents a computer vision algorithm for achieving fast collision detection. This paper presents a solution for a highly adaptable solution. The acquired depth images are used to calculate a possible collision with industrial machines. Using a robot model and marked cells on the floor any robot cinematic configurations can be checked for collisions with human detected in the workspace. The proposed approach is applicable to a variety of industrial applications where operators are under threat of accidents.

1983 ◽  
Vol 2 (5) ◽  
pp. 130
Author(s):  
J.A. Losty ◽  
P.R. Watkins

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Intelligent Robotics and Industrial Applications using Computer Vision 2021 proceedings.


2009 ◽  
Vol 42 (2) ◽  
pp. 91-99 ◽  
Author(s):  
Ehsan Arbabi ◽  
Ronan Boulic ◽  
Daniel Thalmann

1999 ◽  
Author(s):  
ZhuLiang Cai ◽  
John Dill ◽  
Shahram Payandeh

Abstract 3D collision detection and modeling techniques can be used in the development of haptic rendering schemes which can be used, for example, in surgical training, virtual assembly, or games. Based on a fast collision detection algorithm (RAPID) and 3D object representation, a practical haptic rendering system has been developed. A sub-system determines detailed collision information. Simulation results are presented to demonstrate the practicality of our results.


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