Send Message
Tel:
Anhui Keye Information & Technology Co., Ltd.
Anhui Keye Information & Technology Co., Ltd.

Anhui Keye Information & Technology Co., Ltd.

Home ProductsCap Inspection System

Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids

Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids

  • Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids
  • Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids
  • Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids
  • Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids
Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids
Product Details:
Place of Origin: China
Brand Name: KEYE
Certification: NO
Model Number: KVIS-C
Payment & Shipping Terms:
Minimum Order Quantity: 1 SET
Price: Negotiable
Packaging Details: Fumigation-free wood
Delivery Time: 4 to 6 weeks
Payment Terms: L/C, T/T
Supply Ability: 1 set per 4 weeks
Contact Now
Detailed Product Description
Name: Automatic Inspection Machine System For Plastic Wine Bottle Lids Brand: KEYE
Material: Stainless 304 Food Grade Weight: 500kg
Power: 4KW Warranty: 1 Year
Accuracy: 99.8% MOQ: 1 Set
Loading Port: Shanghai
Highlight:

Wine Cap inspection machine

,

KEYE inspection machine

,

KEYE automatic inspection machine

 Inspection Object

Wine bottle cap products, plastic material, are divided into a variety of appearance specifications, used for packaging in the spirits industry, the specific product size is shown in the actual sample.

 

 Summary

Keye Technology has designed a complete set of operation plans for wine cover. The overall equipment is a wine cover visual inspection machine, which integrates conveying mechanism, visual system hardware and inspection software, and defective product rejection device. The inspection speed is 100-120 pieces/ In about minutes, the equipment can operate 7*24 hours a day, which greatly improves production efficiency.

The wine lid inspection equipment is equipped with 10 sets of high-pixel industrial cameras to comprehensively detect the appearance defects of the wine lid. After the system collects the sample image, the image processing software and the standardized sample are compared and analyzed to determine the good and the defective products, and the defective products are detected online Automatically reject, the software will open the sample comparison standard, the production personnel on the customer site can control the comparison accuracy, choose the accuracy standard most suitable for their own production situation, and control the defect rate.

 

 System parameters

Dimension

Reference the drawing

Voltage

220V 20A 50HZ

Power

2.5-3.0kw

Air

0.5~0.8MPa clean air without oil

Temperature

-20℃ ~ 60℃

Humidity

Less than 50%


 

Testing details

 

1,Testing standard

 

Model

Number of camera

Inspection scope

Inspection content

Detection precision

Accuracy

Capacity

KVIS

-SC10

- -

 

Bad gasket (multiple gasket/no gasket/no cross bottom support)

 

The thickness of a single gasket is greater than 1.5mm, and the thickness of the cross base is greater than 3.0mm

99.99%

100-120

Pcs/mins

4 sets

Concave inner wall area

(Diagonal above circular layout)

Black spot (color different)

≥0.1mm 99%

内侧壁漆沫

Printing in inner wall

≥0.1mm 99%

Injection incomplete/flash/ transformation

≥1.0mm 99%

1 set

Concave surface

IQR CODE READING

(OPTIONAL)

- 99.99%

Black spot (color different

≥0.1mm 99%

1 set

Top area

Black spot (color different

≥0.1mm 99%

Scratch

≥0.3mm 0.3mmWITD

99%

QR CODE READING

(OPTIONAL)

- 99.99%

Trademark shift

≥1.0mm 99%

4套

sets

Outside area

Black spot (color different)

≥0.1mm 99%

Scratch

Width≥0.3mm 99%

Disconnected at opening, crooked teeth

- 99.99%

Poor printing (up and down offset / misaligned head and tail / misalignment / lack of printing / multiple printing)

≥1.0mm 99%

 

  • In actual testing, due to the critical fluctuation state of certain testing item data affecting the judgment, it will cause a certain probability of product misdetection, which can be adjusted through the parameter setting of the system software to achieve the actual effect.
  • Ø Black spots, stains (paint foam), hair, mosquitoes, impurities, and other malignant foreign objects (different colors) will be analyzed and processed according to the black spot detection index. The difference in gray value contrast must be greater than 40 (it can be understood as: The sample is placed at a distance of one arm, about 30cm or more, and the black spot feature can be seen visually), which can be effectively detected. If the sample has transparent oil stains or light black spots, and the gray value contrast difference is low (below 40), the detection effect cannot be achieved.
  • Due to the complex structural features of the product, in actual inspection applications, there will be a certain blind area in the overlapping area of the structure of the planar lens imaging, and the image collection cannot be effectively detected.

The blind area of camera

 

There is a blind spot in the area below the internal structure step that is blocked

Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids 0

 

There is a blind zone in the flat area below the inner plug mouth

(If detection is necessary, a set of cameras can be added to achieve the detection effect. )

Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids 1

 

 

There are blind areas in the outer wall and inner wall area of the inner plug mouth

Automatic Ai Inspection Machine System for Plastic Wine Bottle Lids 2

 

 

 

 

 

Contact Details
Anhui Keye Information & Technology Co., Ltd.

Contact Person: Ms. Amy Zheng

Tel: +86 17355154206/+86 186 5518 0887

Send your inquiry directly to us
Anhui Keye Information & Technology Co., Ltd.
168 TangKou Road,Taohua Industrial Park,Hefei,Anhui
Tel:86--17355154206
Mobile Site Privacy PolicyChina Plastic Cap Inspection System Supplier. Copyright © 2021 - 2025 visual-inspectionsystem.com. All Rights Reserved. Developed by ECER