IMAGE RECOGNITION USING ARTIFICIAL INTELLIGENCE FOR A SAFETY SYSTEM OF THE DOBOT MAGICIAN

This study aims to enhance the safety of laboratory environments involving Dobot Magician robotic arms by implementing an image recognition-based safety system. The system is designed to prevent accidents and protect both the physical integrity of students and the robotic equipment. By detecting unauthorized objects within the robot's workspace, the system triggers an electrical signal to halt the robot's operation, thereby minimizing potential risks.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-18
DOI
https://doi.org/10.5281/zenodo.15460014
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

IMAGE RECOGNITION USING ARTIFICIAL INTELLIGENCE FOR A SAFETY SYSTEM OF THE DOBOT MAGICIAN

Zenodo (CERN European Organization for Nuclear Research)
Robotics and Automated Systems
article

IMAGE RECOGNITION USING ARTIFICIAL INTELLIGENCE FOR A SAFETY SYSTEM OF THE DOBOT MAGICIAN

article en

Abstract

This study aims to enhance the safety of laboratory environments involving Dobot Magician robotic arms by implementing an image recognition-based safety system. The system is designed to prevent accidents and protect both the physical integrity of students and the robotic equipment. By detecting unauthorized objects within the robot's workspace, the system triggers an electrical signal to halt the robot's operation, thereby minimizing potential risks.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 58%
Robotics and Automated Systems
DOIOpen Access PDFOpenAlex
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IMAGE RECOGNITION USING ARTIFICIAL INTELLIGENCE FOR A SAFETY SYSTEM OF THE DOBOT MAGICIAN · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS