A Rapid Recognition Method for Electronic Components Based on the Improved YOLO-V3 Network
Autor: | Gu Jinan, Hou Yongtao, Huang Rui, Xiaohong Sun, Saad Uddin |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Computer Networks and Communications
Machine vision Computer science lcsh:TK7800-8360 02 engineering and technology Field (computer science) 0202 electrical engineering electronic engineering information engineering YOLO-V3 rapid recognition Electrical and Electronic Engineering business.industry Deep learning lcsh:Electronics Cognitive neuroscience of visual object recognition deep learning 020206 networking & telecommunications Pattern recognition machine vision Hardware and Architecture Control and Systems Engineering visual_art Signal Processing Electronic component visual_art.visual_art_medium Key (cryptography) 020201 artificial intelligence & image processing Artificial intelligence business Focus (optics) |
Zdroj: | Electronics Volume 8 Issue 8 Electronics, Vol 8, Iss 8, p 825 (2019) |
ISSN: | 2079-9292 |
DOI: | 10.3390/electronics8080825 |
Popis: | Rapid object recognition in the industrial field is the key to intelligent manufacturing. The research on fast recognition methods based on deep learning was the focus of researchers in recent years, but the balance between detection speed and accuracy was not well solved. In this paper, a fast recognition method for electronic components in a complex background is presented. Firstly, we built the image dataset, including image acquisition, image augmentation, and image labeling. Secondly, a fast recognition method based on deep learning was proposed. The balance between detection accuracy and detection speed was solved through the lightweight improvement of YOLO (You Only Look Once)-V3 network model. Finally, the experiment was completed, and the proposed method was compared with several popular detection methods. The results showed that the accuracy reached 95.21% and the speed was 0.0794 s, which proved the superiority of this method for electronic component detection. |
Databáze: | OpenAIRE |
Externí odkaz: |