Deep learning-based object detection in augmented reality: A systematic review

Y Ghasemi, H Jeong, SH Choi, KB Park, JY Lee - Computers in Industry, 2022 - Elsevier
Recent advances in augmented reality (AR) and artificial intelligence have caused these
technologies to pioneer innovation and alteration in any field and industry. The fast-paced …

Cobot programming for collaborative industrial tasks: An overview

S El Zaatari, M Marei, W Li, Z Usman - Robotics and Autonomous Systems, 2019 - Elsevier
Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …

An evaluation of deep learning methods for small object detection

ND Nguyen, T Do, TD Ngo… - Journal of electrical and …, 2020 - Wiley Online Library
Small object detection is an interesting topic in computer vision. With the rapid development
in deep learning, it has drawn attention of several researchers with innovations in …

Digital twin of experimental smart manufacturing assembly system for industry 4.0 concept

K Židek, J Piteľ, M Adámek, P Lazorík, A Hošovský - Sustainability, 2020 - mdpi.com
This article deals with the creation of a digital twin for an experimental assembly system
based on a belt conveyor system and an automatized line for quality production check. The …

Conceptual use of augmented reality in the maintenance of manufacturing facilities

J Kaščak, J Husár, L Knapčíková… - International Scientific …, 2022 - Springer
The presented article deals with the possibility of using augmented reality (AR) technology
in the field of mechanical engineering. In several chapters, it describes the possibilities of …

A compatible detector based on improved YOLOv5 for hydropower device detection in AR inspection system

J Jiang, Z Yang, C Wu, Y Guo, M Yang… - Expert Systems with …, 2023 - Elsevier
Recent advancements in computer vision and augmented reality (AR) technology have
created a pathway for enhanced human–computer interaction. Despite the potential …

[PDF][PDF] Technology for complex parts machining in multiproduct manufacturing

V Ivanov, I Dehtiarov, I Pavlenko, I Kosov… - Management and …, 2019 - bibliotekanauki.pl
At present, the speed of production and its complexity increases with each passing year due
to the shorter product life cycle and competition in the global market. This trend is also …

A review on the effectiveness of machine learning and deep learning algorithms for collaborative robot

M Sajwan, S Singh - Archives of Computational Methods in Engineering, 2023 - Springer
More and more, we may expect to see robots working side by side with humans as
technology advances. Collaborative robot (cobot) is a methodology that investigates the …

An automated training of deep learning networks by 3D virtual models for object recognition

K Židek, P Lazorík, J Piteľ, A Hošovský - Symmetry, 2019 - mdpi.com
Small series production with a high level of variability is not suitable for full automation. So, a
manual assembly process must be used, which can be improved by cooperative robots and …

CNN training using 3D virtual models for assisted assembly with mixed reality and collaborative robots

K Židek, J Piteľ, M Balog, A Hošovský, V Hladký… - Applied Sciences, 2021 - mdpi.com
The assisted assembly of customized products supported by collaborative robots combined
with mixed reality devices is the current trend in the Industry 4.0 concept. This article …