Open AccessResearch on Machine Vision Technology of High Speed Robot Sorting System based on Deep Learning
Author(s) -
Hai Rong Mou,
Rui Lu,
Juan An
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/2/022029
Subject(s) - sorting , artificial intelligence , computer science , machine vision , robot , computer vision , deep learning , industrial robot , focus (optics) , eye tracking , tracking (education) , physics , optics , programming language , psychology , pedagogy
Workpiece sorting is an important link in industrial production and transportation, which will directly affect the accuracy and speed of the workpiece. In the traditional manual sorting, we will be affected by the environment and subjective factors, which will cause visual fatigue error. With the rapid development of computer technology, the intelligence of robot is higher and higher, which has been applied to many fields. Robot sorting has many advantages, such as high speed, small inertia, high positioning accuracy, which has become an important part of industrial manufacturing and express transportation. For sorting system, we need to focus on machine vision technology and deep learning algorithm. Through image recognition and target tracking, we can provide accurate basic data. Through deep learning algorithm, we can intelligent sorting, which needs our in-depth study.