학술논문

Action and Assembly Time Measurement System of Industry Workers using Jetson Nano
Document Type
Conference
Source
2022 IEEE International Conference on Consumer Electronics - Taiwan Consumer Electronics - Taiwan, 2022 IEEE International Conference on. :319-320 Jul, 2022
Subject
Engineering Profession
Industries
Machine learning algorithms
Embedded systems
Production
Licenses
Time measurement
Consumer electronics
Language
ISSN
2575-8284
Abstract
In this work, conducted by three partners, called UFAM/CETELI, Envision (TPV Group) and ICTS, we present an embedded system capable of recognizing actions and measuring the assembly time of human workers on an industrial production line. The system is composed of machine learning algorithms and the embedded platform NVIDIA Jetson Nano. In terms of performance, the system achieved rates (best case) 91%.