Large Capacity Beverage Bottles Inspection System with HD Touch Screens
Brand Name:KEYE
Certification:NO
Model Number:KVIS-B
Minimum Order Quantity:1 SET
Delivery Time:4 to 6 weeks
Payment Terms:L/C, T/T
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Location:
Hefei Anhui China
Address:
168 TangKou Road,Taohua Industrial Park,Hefei,Anhui
Supplier`s last login times:
within 28 hours
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Product Details
Company Profile
Product Details
Market background
In the automated production of modern packaging industry, for example, it is very necessary to detect whether the filling product is filled with fluid before leaving the factory. The quality of the packaging of the filling bottle directly or indirectly affects the quality of its internal products. Therefore, product testing is the last step. A process is often indispensable, but such repetitive work is often done manually, and even if the number of personnel increases, the 100% pass rate of the quality inspection results cannot be guaranteed. The machine vision automatic inspection system independently developed and designed by our company provides a solution.
This set of online machine vision defect detection system can be used to detect whether there are caps, high caps, skewed caps, and skewed safety caps during the production process of PET bottles; the caps are deformed, high, or missing after heat shrinking; After installation, the liquid level is insufficient, and the coding is bad, missing, and missing
Inspection principle
The machine vision inspection system refers to converting the captured target into an image signal through machine vision products (CMOS and CCD), transmitting it to a dedicated image processing system, and converting it into a digital signal according to information such as pixel distribution and brightness.
The image system performs various operations on these signals to extract the features of the target, and then controls the on-site equipment operations according to the results of the discrimination, and performs visual inspection, size measurement, defect detection, and system positioning.
Detection details&Environmental requirements
| Model | Camera number | Detection range | Detection content | Detection accuracy | Detection precision | Detection speed |
| KVIS-C -SC11 | 1set | Bottle mouth | Black spots, stains, overlap, burrs, lack of material, etc. | ≥0.5mm | Qualified product 99.5% | 160 pcs/min |
| False detection is less than 0.5% | ||||||
| 1set | Bottom of the bottle | Black spots, stains,foreign material, etc. | ≥0.5mm | Qualified product 99.5% | ||
| False detection is less than 0.5% | ||||||
| 4 set | Upper area of the bottle | Black spots, stains,missing, etc. | ≥0.5mm | Qualified product 99.5% | ||
| False detection is less than 0.5% | ||||||
| 4set | Lower area of the bottle | Black spots, stains, etc. | ≥0.5mm | Qualified product 99.5% | ||
| False detection is less than 0.5% | ||||||
| 1set | Outer bottom of the bottle | Black spots, stains | ≥0.5mm | 合Qualified product 99.5% | ||
| Hole | ≥1mm | Qualified product 99.5% |
| System operating parameters | |||
| Dimensions | 2.4×1.0×1.8(m) | Power and frequency | 220V 20A 50HZ |
| Total power | 3.5kw | Air pressure | 0.5~0.8MPa Purify and oil-free |
| Working temperature | -20℃ ~ 60℃ | Working humidity | Below 50% relative humidity |
| Sample diameter | 10mm-120mm | Sample height | 20mm-200mm |
Our advantages
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
Large Capacity Beverage Bottles Inspection System with HD Touch Screens
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