Computer Vision Algorithm for Collision Detection in Case of Industrial Environment

Florin Bogdan Marin; Ionel Petrea; Madalin Deacu

doi:10.4028/www.scientific.net/AMR.1143.200

Paper Titles

Experimental and Statistical Analysis of the Nitrided Layer Behavior during a Wear Process
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Mathematical Modeling and Optimization of Fluidized Layer Carbonitriding Process for 1C 25 Steel
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Virtual Interactive Prototyping Based on Function-Behavior-Structure (FBS) Approach
p.188

Automatic Grain Size Determination in Microstructures Using Computer Vision Algorithm Based on Support Vector Machine (SVM)
p.194

Computer Vision Algorithm for Collision Detection in Case of Industrial Environment
p.200

Analytical Technique for Estimating the Termophysical Properties of Hybrid Nanofluids
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Microstructural Evolution in Ultrafine Grained FeMnSiCr Shape Memory Alloy Modules
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Surface Microhardness and Friction Coefficient of Epoxy Coating Modified with Metal Oxide Nanoparticles
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The Influence of Electrodes Deposition on the Interface and Dielectric Characteristics of Polymer Gate for Thin Films Transistors
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1143Computer Vision Algorithm for Collision Detection...

Computer Vision Algorithm for Collision Detection in Case of Industrial Environment

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 1143)

Pages:

200-203

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1143.200

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Online since:

February 2017

Authors:

Florin Bogdan Marin, Ionel Petrea, Madalin Deacu

Keywords:

Collision Detection, Computer Vision, Industrial Safety

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