Visual auxiliary material intelligent recognition system

Abstract

The invention discloses a visual auxiliary material intelligent recognition system. The recognition system comprises a camera device used for collecting product photos; the image recognition module isused for recognizing product colors and judging product models; the image analysis and calculation module is used for analyzing front and back information of the product in the photo; and the outputmodule is used for outputting and displaying product color, model, front and back information. The invention relates to a visual auxiliary material intelligent recognition system. According to the system, corresponding data of a product is recorded in a machine learning mode; during use, the product information can be automatically collected, the model information of the product and the front andback information of the product can be recognized, the recognition intelligence degree is higher, the production labor force is greatly saved, misjudgment does not exist in judgment of a machine, thejudgment accuracy is guaranteed, and the error rate of product production and processing is reduced.

Description

technical field [0001] The invention relates to the field of industrial product information identification, in particular to an intelligent identification system for visual accessories. Background technique [0002] Industry mainly refers to the industry or engineering of raw material collection and product processing and manufacturing. Industry is the product of the development of social division of labor. After several development stages of handicraft industry, machine industry and modern industry, industry is an important part of the secondary industry. It is mainly divided into There are two categories of light industry and heavy industry. Among them, heavy industry includes iron and steel industry, metallurgical industry, machinery, energy (electricity, petroleum, coal, natural gas, etc.), chemistry, materials and other industries, which provide technical equipment, power and raw materials for various departments of the national economy. It provides raw materials, fuel,...

AI Technical Summary

Problems solved by technology

[0003] In the process of industrial product production and processing, it is necessary to identify product information. There are mostly two existing identification methods: one is the traditional manual way to check the production workpiece through artificial memory, and the other is to use the current visual Perceptual methods are used to do manual discrimination work. Both of these two identification methods require a lot of manual operation, which is labor-intensive and time-consuming, and the work efficiency is relatively low. At the same time, there are large errors in such identification methods.

Images