scholarly journals Real-Time Object Recognition Based on Cortical Multi-scale Keypoints

Author(s):  
Kasim Terzić ◽  
Joao M. F. Rodrigues ◽  
J. M. Hans du Buf
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.


2014 ◽  
Author(s):  
Kevin Vincent ◽  
Damien Nguyen ◽  
Brian Walker ◽  
Thomas Lu ◽  
Tien-Hsin Chao

Author(s):  
Tung Jing Fang ◽  
Chen Han ◽  
Chuan Chia Wang ◽  
Lai Chung Lee ◽  
Whei Jane Wei

2021 ◽  
Author(s):  
Liang Chao ◽  
Wang Xiaoyu ◽  
Song Yu ◽  
Jiang Changhong

Author(s):  
Jiu Xu ◽  
Ning Jiang ◽  
Xinwei Xue ◽  
Heming Sun ◽  
Wenxin Yu ◽  
...  

2019 ◽  
Vol 32 (6) ◽  
pp. 065003 ◽  
Author(s):  
Edgar Berrospe-Juarez ◽  
Víctor M R Zermeño ◽  
Frederic Trillaud ◽  
Francesco Grilli

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