Application Research of Improved YOLO V3 Algorithm in PCB Electronic Component Detection
Target detection of electronic components on PCB (Printed circuit board) based on vision is the core technology for 3C (Computer, Communication and Consumer Electronics) manufacturing companies to achieve quality control and intelligent assembly of robots. However, the number of electronic component...
Main Authors: | Jing Li, Jinan Gu, Zedong Huang, Jia Wen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/18/3750 |
Similar Items
-
Research on Recognition Method of Electrical Components Based on YOLO V3
by: Haipeng Chen, et al.
Published: (2019-01-01) -
Estimating Recycling Return of Integrated Circuits Using Computer Vision on Printed Circuit Boards
by: Leandro H. de S. Silva, et al.
Published: (2021-03-01) -
A Rapid Recognition Method for Electronic Components Based on the Improved YOLO-V3 Network
by: Rui Huang, et al.
Published: (2019-07-01) -
WD-YOLO: A More Accurate YOLO for Defect Detection in Weld X-ray Images
by: Kailai Pan, et al.
Published: (2023-10-01) -
Enhancing UAV Visual Landing Recognition with YOLO’s Object Detection by Onboard Edge Computing
by: Ming-You Ma, et al.
Published: (2023-11-01)