Open AccessAlgorithm Research and Implementation Based on Component Optical Detection System
Author(s) -
Yongming She
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 - 10.1088/1742-6596/2066/1/012019
Subject(s) - component (thermodynamics) , computer science , construct (python library) , adaboost , electronic component , genetic algorithm , ant colony optimization algorithms , variety (cybernetics) , algorithm , ant colony , artificial intelligence , data mining , machine learning , engineering , support vector machine , computer network , electrical engineering , thermodynamics , physics
With the development of the times, gradually there is a new thing called electronic components born. Electronic components are collectively called components of electronic components and small machine instruments, such as diodes used in light bulbs. Components can be used in optical inspection systems, but they require some help from computer technology. Therefore, the purpose of this paper is to use algorithms to study component-based optical detection systems. After consulting the literature on components and optical detection systems, we analyzed the suitability of components and optical inspection systems by constructing different systems using a variety of algorithms. The experimental results show that the traditional ant colony algorithm is better than the AdaBoost algorithm and the genetic algorithm, so we finally choose to use the ant colony algorithm to construct the optical detection system.