z-logo
open-access-imgOpen Access
Integration of robotic arm and vision system with processing software using TCP/IP protocol in industrial sorting application
Author(s) -
Piotr Prusaczyk,
Wojciech Kaczmarek,
Jarosław Panasiuk,
Khadir Lakhdar Besseghieur
Publication year - 2019
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5092035
Subject(s) - computer science , sorting , production line , machine vision , software , robotic arm , robot , artificial intelligence , computer vision , protocol (science) , embedded system , real time computing , operating system , engineering , mechanical engineering , medicine , alternative medicine , pathology , programming language
The efficient flow of products on production lines has great importance for every producer. Considering the short life cycle of products, the performance of the production line determines the production efficiency. The problem is particularly visible on product sorting (picking) lines. In this article, the authors present the problem of sorting products using the KINOVA robot equipped with vision system. The issue involves the integration of the robot with the vision system and their configuration. The Adaptive Vision Studio software is employed for the image recognition taken with an ordinary camera. Depending on the data received from the camera, the robotic arm is ordered to move to a specific predefined location. This is used in an industrial environment where the robotic arm is required to pick up the objects based on the QR code labelled on each item.The efficient flow of products on production lines has great importance for every producer. Considering the short life cycle of products, the performance of the production line determines the production efficiency. The problem is particularly visible on product sorting (picking) lines. In this article, the authors present the problem of sorting products using the KINOVA robot equipped with vision system. The issue involves the integration of the robot with the vision system and their configuration. The Adaptive Vision Studio software is employed for the image recognition taken with an ordinary camera. Depending on the data received from the camera, the robotic arm is ordered to move to a specific predefined location. This is used in an industrial environment where the robotic arm is required to pick up the objects based on the QR code labelled on each item.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom