Workpiece anti-counterfeiting method based on part surface image matching

A surface image and component technology, applied in the field of workpiece anti-counterfeiting based on component surface image matching, can solve problems such as difficult detection of bearings, bearing damage, and difficult detection of bearings, and achieve reduced anti-counterfeiting costs, high anti-counterfeiting security, and improved robustness. sticky effect

Pending Publication Date: 2020-06-23
NANJING UNIV OF TECH +1
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The flood of counterfeit and shoddy bearings in the market has caused great harm to the industry, especially the precision industry
However, many parameters of the bearing are difficult to detect without disassembling the bearing (for example, the concentricity of the ball bearings, the parallelism of the raceway), and once disasse

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
  • Workpiece anti-counterfeiting method based on part surface image matching
  • Workpiece anti-counterfeiting method based on part surface image matching
  • Workpiece anti-counterfeiting method based on part surface image matching

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0092] Examples:

[0093] In this embodiment, in figure 1 Parts 1 and 2 in the sample are used as samples 1 and 2, and samples 1 and 2 are the areas with a roughness of 0.1μm in the normal surface roughness comparison sample. Under naked eye observation, the surface with the same roughness is very similar . figure 2 Among them, 3 is the image acquisition hardware-a digital microscope of Keyence's model VHX 5000 on sale, which can realize auto focus and automatic image stitching. The resolution of the collected single image is 1200pixels×1600pixels, and the maximum resolution after stitching can reach 20000pixels×20000pixels.

[0094] The specific anti-counterfeiting identification method of the present invention is realized by the following steps:

[0095] Step 1. Sample pretreatment:

[0096] in figure 1 A small area is randomly selected on Part 1 and Part 2 in the middle, and mark 1-1 area and 2-1 area with the word ‘+’ as the anti-counterfeiting detection area mark.

[0097] Step ...

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

PropertyMeasurementUnit
Roughnessaaaaaaaaaa
Login to view more

Abstract

The invention relates to the field of part anti-counterfeiting identification, in particular to a workpiece anti-counterfeiting method based on part surface image matching, which comprises the following steps of factory workpiece surface image acquisition, image filtering, surface inherent texture extraction, database generation, texture feature image matching and anti-counterfeiting identification. The invention relates to a method for extracting a surface image of a workpiece by utilizing digital microscope equipment and identifying the authenticity of the workpiece by virtue of an image processing algorithm. By means of the anti-counterfeiting method, workpiece etching can be avoided, and nondestructive identification is achieved; an additional anti-counterfeiting label is not needed, so that the anti-counterfeiting cost is reduced; and the uniqueness of the surface texture of the workpiece is utilized, so that the anti-counterfeiting safety is extremely high.

Description

technical field [0001] The invention relates to the field of anti-counterfeiting identification of workpieces, in particular to a method for anti-counterfeiting of workpieces based on surface image matching of parts. Background technique [0002] In recent years, many lawbreakers, driven by interests, have manufactured counterfeit products to confuse genuine ones. Consumers and many companies have suffered from counterfeiting. Relevant survey data show that more than 90% of consumers and almost all product manufacturers have been harassed by counterfeiting. [0003] In the manufacturing industry, there are also the phenomenon of fake and inferior products and shoddy goods, which not only violates the rights and interests of consumers, but also poses a huge safety hazard. In order to combat counterfeiting, many famous brand manufacturers are currently trying to use laser engraving of the corresponding brand logo on the surface of the product, or set a unique serial number fo...

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): G06T7/00G06T5/00
CPCG06T7/001G06T5/002
Inventor 洪荣晶诸嘉翎张浩
Owner NANJING UNIV OF TECH
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