Intelligent Recognition of Production Date Based on Machine Vision

Abstract

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.

An Optimal Scheduling Method for Data Resources of Production Process Based on Multicommunity Collaborative Search Algorithm

“…Recently, most scholars at home and abroad focus on the methods and algorithms of workshop data collection, analysis and mining, such as machine vision preprocessing algorithm [5], neural network prediction algorithm [6,7], intelligent decision algorithm [8], and multiobjective optimization algorithm [9]. However, the data have no subjective initiative; the data-based analysis and processing algorithm can not actively serve the business needs such as perception, decision-making, and execution of the production process; and the current research has not comprehensively considered the coupling and impact among demand, service, resources, and energy efficiency in the production process.…”