Features of system
| 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training |
| 2.Dataization: Independent database, save multiple samples, analyze non-good products, and retain history |
| 3.Multi-orientation: 360 ° comprehensive inside and outside the samples |
| 4.High precision: detection accuracy can be high |
| 5.Modularization, can flexibly increase or decrease the detection function according to customer actual needs |
| 6.Easy to operate: It is easy to operate and easy to maintain |
| 7.Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment |
Leather is the main raw material of many products in life (Including leather shoes, clothes, wallets, etc.), but for a long time, the layout and cutting of the leather industry is mainly done by manual which is every low efficiency, so the leather industry has urgent requirements for the automatic layout and cutting. At the same time, because the layout and cutting are mainly on the high quality leather, and there are many inevitable defects on the leather surface, so the leather defect detection is the premise of the automatic realization of layout and cutting.
Leather is the main raw material of all kinds of products, So it needs high-quality leather materials for cutting, but the fact is that leather can not avoid some kinds of defects, such as scratches, insect bites, etc., so it is necessary to conduct defect detection and positioning before layout, to avoid defects for cutting. Now the leather surface defect detection is mainly carried out according to the experience of skilled workers, so the subjective factors and fatigue of workers will lead to a higher error rate.
The leather surface defect detection system is based on advanced vision technology , combined with sparse and texture characteristics of the product ,and adopts the imaging mode of front irradiation and reverse transmission to make online high-speed and accurate surface defect detection. And combined with the on-site process online alarm, report statistics and product classification processing, to provide the effective solution for whole production information and product quality
Detection sample
Surface stripe
System configuration:
AI software algorithm: independently developed AI algorithm
Vision module: high-precision linear array industrial camera, high-precision industrial lens, specially designed high-brightness industrial light source
Processor module: high industrial computer processor
The image acquisition module includes an 8K line scanning camera and two 1.8m linear direct light sources.In addition, because leather generally has many folds, in order to get more accurate image information, a fixed equipment is applied to expand the leather, and a certain light source is used to fill the light on the leather, so can get more accurate leather information.
The image processing module includes the upper computer and the image processing software. The image processing software processes a series of single frame leather images collected by the industrial camera.The leather defect detection and location algorithm which based on multi-thread was used to get the location of the leather defect, and the image processing software will give the detection report for the staff to check later. The inspection report includes the location, type and rating of the leather defect.
Surface damage
Product Tags:
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60 kg Automatic Textile Inspection Machine for Fabric Appareance Checking Images
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