Implementation and Performance Analysis of an Industrial Robot’s Vision System Based on Cloud Vision Services

Ioana-Livia Stefan, Andrei Mateescu (), Ionut Lentoiu, Silviu Raileanu, Florin Daniel Anton, Dragos Constantin Popescu and Ioan Stefan Sacala ()
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Ioana-Livia Stefan: Automatic Control and Systems Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania
Andrei Mateescu: Automatic Control and Systems Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania
Ionut Lentoiu: Automatics and Industrial Informatics Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania
Silviu Raileanu: Automatics and Industrial Informatics Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania
Florin Daniel Anton: Automatics and Industrial Informatics Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania
Dragos Constantin Popescu: Automatic Control and Systems Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania
Ioan Stefan Sacala: Automatic Control and Systems Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica of Bucharest, Splaiul Independentei, No. 313, 060042 Bucharest, Romania

Future Internet, 2025, vol. 17, issue 5, 1-17

Abstract: With its fast advancements, cloud computing opens many opportunities for research in various applications from the robotics field. In our paper, we further explore the prospect of integrating Cloud AI object recognition services into an industrial robotics sorting task. Starting from our previously implemented solution on a digital twin, we are now putting our proposed architecture to the test in the real world, on an industrial robot, where factors such as illumination, shadows, different colors, and textures of the materials influence the performance of the vision system. We compare the results of our suggested method with those from an industrial machine vision software, indicating promising performance and opening additional application perspectives in the robotics field, simultaneously with the continuous improvement of Cloud and AI technology.

Keywords: ABB RobotStudio; industrial robots; cloud computing; object recognition; Microsoft Azure Custom Vision; computer vision; digital twin (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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