AI Visual Foam Surface Product Inspection Equipment For GMP Workshop

Equipment features:

Product background

Although foam EVA is used as a supporting role, it is frequently used in all walks of life.for example, the application in the field of earthquake-resistant packaging, daily necessities, miscellaneous goods materials,agricultural,animal husbandry, aquatic products, fitness materials, and as professional materials for engineering construction and construction customization. So its appearance quality will directly affect the quality of products in related industries and the user safety.

Due to the current production environment and production process of foam, it is easy to cause burrs, black spots, stains, impurities, fuzzing, color difference, packaging, batch number, identification and other defects on the surface of the material during the production . Also due to the fast production speed and small defect of the product, the traditional artificial visual detection cannot be quickly realized. The surface defect detection system of Keye Technology can make the detection of surface defects with all-weather, high-speed and high-precision on the high-speed running foam EVA production line.

Product Principle

The foam EVA surface defect detection system sets up a linear CCD camera above the production line. The camera is triggered to obtain image information ,resolution of the camera ,determines the image sampling accuracy of the product through an encoder connected to the drive shaft of the workshop. The system has high precision and large amount of image data processing. After the data is processed at a high speed, the product defect data information is retained and the control signal is output. The computer system records and manages the specific location, size, image and other information of the defect through the database.

Detection object:

PU foam, anti-static foam, conductive foam, EPE, anti-static EPE, CR, EVA, bridging PE, SBR, EPDM

Parameter

packing:

a. The identification is clear, and the content is correct and identifiable:

b The outer packaging is not damaged, damp, or severely impacted,

c Shipment inspection report is complete and valid

d The outer packaging must be marked with environmentally hazardous substances:

Appearance

The trimming is neat, without burrs and obvious interface density. The surface is clean, lint-free, non-moist, non-damaged, and not easy to break; the color is required to be uniform, no different colors, and no obvious color difference between the same batches;

The dimensional tolerance requirement is not less than 10% of the total thickness;

Detection thickness: the dimensional tolerance requirement is not less than 10% of the total thickness;

Detection speed: maximum 200m/min;

Detection accuracy: Determined according to the size of the production line and the configuration of the camera;

Defect feedback: sound and light alarm, real-time labeling, real-time display of defect coordinate information distribution map, quality report, etc.

Examples of equipment detection defects:

System functions；

Ø100% overall surface detection to avoid missed detection;

Ø Accurate defect coordinate distribution map, showing specific images of multiple defects in the current period ,before or after.

Ø Real-time defect information display, recording the current defect type, area, horizontal and vertical position and other information.

Product basic information module, record product batch number, model, specification, shift number, operator and other information (can be modified by yourself);

Ø Real-time detection of meters and alarm information display;

Ø Automatic classification the defects according to the size, shape, gray-scale difference and other characteristics of the defect;

Ø Automatic alarm for periodic continuity defects, the alarm density can be set by yourself;

ØThe defect record report of each roll of product is automatically generated, and the user can print information at any time;

Ø Automatically change rolls and automatically print quality reports;

Ø It can be linked with the user's production line to provide remote technical services;

Ø Software functions and interfaces can be customized and developed according to user requirements.