Deadline-Adaptive Delivery of Real-Time Video Streams

Author(s):  
Jun Liu
Keyword(s):  

2021 ◽  
Vol 11 (11) ◽  
pp. 4758
Author(s):  
Ana Malta ◽  
Mateus Mendes ◽  
Torres Farinha

Maintenance professionals and other technical staff regularly need to learn to identify new parts in car engines and other equipment. The present work proposes a model of a task assistant based on a deep learning neural network. A YOLOv5 network is used for recognizing some of the constituent parts of an automobile. A dataset of car engine images was created and eight car parts were marked in the images. Then, the neural network was trained to detect each part. The results show that YOLOv5s is able to successfully detect the parts in real time video streams, with high accuracy, thus being useful as an aid to train professionals learning to deal with new equipment using augmented reality. The architecture of an object recognition system using augmented reality glasses is also designed.



Author(s):  
Jinhwan Kim ◽  
Inhwan Jung ◽  
Yong Song ◽  
Bong Lee




Author(s):  
Kunhui Lin ◽  
Jiyong Huang ◽  
Jiawei Chen ◽  
Changle Zhou




2013 ◽  
Vol 48 (1) ◽  
pp. 33-45 ◽  
Author(s):  
Jinwook Oh ◽  
Gyeonghoon Kim ◽  
Junyoung Park ◽  
Injoon Hong ◽  
Seungjin Lee ◽  
...  


2010 ◽  
Vol 34 (5) ◽  
pp. 575-584 ◽  
Author(s):  
Martin Fuchs ◽  
Tongbo Chen ◽  
Oliver Wang ◽  
Ramesh Raskar ◽  
Hans-Peter Seidel ◽  
...  


Sign in / Sign up

Export Citation Format

Share Document