Open AccessIntelligent Recognition of Production Date Based on Machine Vision
Author(s) -
Xiaomei Sun,
Guohua Gao,
Boxing Tian,
Bowen Li,
Sai Zhang,
Juan Huang
Publication year - 2019
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 - 10.1088/1742-6596/1267/1/012041
Subject(s) - computer science , artificial intelligence , production (economics) , preprocessor , support vector machine , pattern recognition (psychology) , feature (linguistics) , projection (relational algebra) , grid , image (mathematics) , machine learning , computer vision , algorithm , mathematics , linguistics , philosophy , geometry , economics , macroeconomics
Aiming at the problems of large work intensity, low intelligence level and low efficiency, the production date intelligent recognition algorithm was designed. The algorithm optimizes the image preprocessing algorithm, combines the grid statistical method and the projection density method to extract the feature vector, and uses the support vector machine algorithm to identify the production date. The experimental results show that the algorithm can accurately identify the production date and achieve the expected recognition effect. Has practical significance.