Automatic floor sorting method

An automatic sorting and flooring technology, applied in the sorting field, can solve the problems of low manual detection efficiency, unstable detection results, slow detection speed, etc.

Active Publication Date: 2021-08-20
WUXI HAMMERHEAD SHARK INTELLECT SCI & TECH LTD
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

During manual identification, as the working hours go by, workers will inevitably experience work fatigue, lack of energy and other problems, so there may be missed detections
In addition, different workers have different judgment standards for the same defect. Some people think it is a defect, while others think it is a small defect, which does not affect sub

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic floor sorting method
  • Automatic floor sorting method
  • Automatic floor sorting method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0073] A method for automatic sorting of floors, comprising the following steps:

[0074] Step 1: Training Phase

[0075] Step 1.1: Preparation of training set and validation set

[0076] Both the training set and the validation set include color images and black-and-white images; among them, there are at least 10,000 color images in the training set, and the images include only one defect. The type and location of defects appear randomly, and defects include pits, There are 13 types of offsets, discounts, scratches, bad chips, crystal spots, holes, bubbles, color escape, impurities, offset, lamination, and dark bubbles. The number of photos for each defect is at least 500. There are at least 10,000 black and white images in the training set. The images include only one defect. The type and location of defects appear randomly. Defects include pits, offsets, folds, scratches, bad chips, crystal points, holes, There are 13 types of bubbles, color escape, impurities, offset, la...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to a sorting method, and particularly relates to an automatic floor sorting method. The automatic floor sorting method comprises the following steps: step 1, a training stage; artificial intelligence is trained, so that the artificial intelligence can automatically identify the defects of the floor in the black-and-white image and the color image; 2, a use stage; the artificial intelligence obtained through training in the first step is used for recognition, sampling inspection is carried out, and iteration upgrading is continuously carried out on the artificial intelligence. The method has the advantages that an effective recognition algorithm is formed through artificial intelligence training, then the algorithm is used for intelligent recognition, the recognition efficiency is high, the recognition effect is good, the marginal cost is low, and quality control over finished floor products is facilitated. In addition, if other defects occur, the recognition algorithm can be upgraded and reformed only by supplementary training, upgrading and iteration are convenient and fast, and iteration cost is low.

Description

technical field [0001] The invention belongs to a sorting method, in particular to a floor automatic sorting method. Background technique [0002] Under the wave of Industry 4.0, industrial automation is the development trend. In the process of industrial automation, intelligent quality inspection occupies an important part and is a key step to ensure product quality. [0003] In the flooring industry, especially in the field of PVC flooring, appearance directly affects product quality and consumers' willingness to purchase. Therefore, almost all manufacturers attach great importance to the quality inspection of floor appearance. [0004] In traditional technology, the appearance quality inspection has always been done through manual visual screening, relying on experienced workers for visual identification. However, due to the many types of floor defects, such as attached Figure 1-13 shown. These defects include but are not limited to: pits, offsets, discounts, scratche...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62G06K9/46G06K9/32G06N3/04G06N3/08G06T7/00
CPCG06T7/0002G06N3/084G06T2207/20081G06V10/25G06V10/462G06N3/045G06F18/24G06F18/214
Inventor 邹逸
Owner WUXI HAMMERHEAD SHARK INTELLECT SCI & TECH LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products