Dermal surface defect detection equipment based on machine vision and deep learning

A deep learning and defect detection technology, applied in optical testing flaws/defects, measuring devices, instruments, etc., can solve the problems of low detection reliability, high labor and energy costs, solve energy waste, improve detection reliability and The labor and energy cost of inspection, the effect of realizing quasi-flexible automatic production

Inactive Publication Date: 2020-01-14
浙江首席智能技术有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings of low detection reliability and high detection labor and energy consumption costs in the prior art, and propose a leather surface defect detection equipment based on machine vision and deep learning

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  • Dermal surface defect detection equipment based on machine vision and deep learning
  • Dermal surface defect detection equipment based on machine vision and deep learning
  • Dermal surface defect detection equipment based on machine vision and deep learning

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Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0027] refer to Figure 1-3 , a leather surface defect detection equipment based on machine vision and deep learning, including a stage 3, a camera assembly 12 is installed on one side of the upper surface of the stage 3 through an angle adjustment mechanism, and an imaging display screen 15 is installed on the other side, The angle adjustment mechanism includes a horizontal angle adjustment structure and a vertical angle adjustment structure. The horizontal angle adjustment structure includes a bearing seat 4, a sliding rod 5, a sliding sleeve 6 and a positioning pin 7. The bearing seat 4 is installed on the upper surface of the stage 3 On one side, the slide bar 5 ...

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Abstract

The invention relates to the technical field of leather products, in particular to a dermal surface defect detection equipment based on machine vision and deep learning, which includes a stage. One side of the upper surface of the stage is provided with a camera component through an angle adjustment mechanism, and the other is provided with an imaging display screen, a first light source is connected to both sides of the camera component through a rotating structure, a second light source is installed in the middle of the upper surface of the stage, and a transmission mechanism is installed onthe stage on both sides of the second light source. The detection technology based on machine vision and deep learning of the invention is applied to the automatic detection of the dermal surface, realizing the quasi flexible automatic production of dermal products, solving the situation of energy waste, and improving the detection reliability and labor and energy costs of detection.

Description

technical field [0001] The invention relates to the technical field of leather products, in particular to a leather surface defect detection equipment based on machine vision and deep learning. Background technique [0002] For a long time, the surface defect identification, sample layout, cutting and other processes in the processing of leather products in my country have been mainly carried out manually. This fully manual production process has many problems: the testing environment is harsh and boring, and the smell emitted by leather is harmful to human health. ;The surface area of ​​leather is large (usually the surface area of ​​cowhide, the labor intensity of the operator is high, the detection speed is slow, and the production efficiency is low; the detection and discrimination standards of each worker are different, there is a lack of detection standards, and the detection confidence is low; the subjective factors of the detection personnel The impact is great. With t...

Claims

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Application Information

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IPC IPC(8): G01N21/88G06T5/00G06T5/30G06T7/00G06T7/11G06T7/136
CPCG01N21/88G01N21/8851G06T7/0002G06T7/11G06T7/136G06T5/30G01N2021/8887G06T2207/20032G06T5/70
Inventor 凌见君赵小英
Owner 浙江首席智能技术有限公司
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