Open AccessVisual Positioning Algorithm Based on Micro Assembly Line
Author(s) -
Quandong Ni,
Dazhai Li,
Yun Chen,
Huaping Dai
Publication year - 2020
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 - 10.1088/1742-6596/1626/1/012023
Subject(s) - computer vision , artificial intelligence , computer science , camera resectioning , calibration , camera auto calibration , distortion (music) , position (finance) , tracking (education) , robot , algorithm , mathematics , psychology , amplifier , computer network , pedagogy , statistics , bandwidth (computing) , finance , economics
To achieve mass production of microelectronic devices, this paper designs a microelectronic device detection scheme based on monocular vision, on the assembly robot platform of micro-electronic devices. By analyzing the principle of camera calibration and distortion and performing internal parameter calibration of the camera with Zhang Zhengyou calibration method, this paper establishes a hand-eye calibration model of the relationship between the robot’s motion and the relative position of the camera, so as to calculate the transformation matrix from the camera model to the gripper. In the end, the paper proposes an accurate positioning method which combined boundary tracking algorithm based on binary image and template matching algorithm, identifying the type of workpieces through barcode.