Real-Time Recognition Method for 0.8 cm Darning Needles and KR22 Bearings Based on Convolution Neural Networks and Data Increase

Real-Time Recognition Method for 0.8 cm Darning Needles and KR22 Bearings Based on Convolution Neural Networks and Data Increase

The complexity of the background and the similarities between different types of precision parts, especially in the high-speed movement of conveyor belts in complex industrial scenes, pose immense challenges to the object recognition of precision parts due to diversity in illumination. This study pr...

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Bibliographic Details
Main Authors: Jing Yang, Shaobo Li, Zong Gao, Zheng Wang, Wei Liu
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Applied Sciences
Subjects:
data increase
object recognition
precision parts
0.8cm darning needle
KR22 bearing
Online Access:http://www.mdpi.com/2076-3417/8/10/1857

Internet

http://www.mdpi.com/2076-3417/8/10/1857

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