Anhui Keye Information & Technology Co., Ltd.
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| Place of Origin: | China |
| Brand Name: | KEYE |
| Certification: | NO |
| Model Number: | KVIS-B |
| Minimum Order Quantity: | 1 SET |
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| 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 |
| Name: | Opaque Bottle Defects Detection | Color: | Grey |
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| Material: | SS 304 | Structure: | Stable |
| Power: | Electric | Voltage: | Adapt To National Standards |
| Payment: | L/C,T/T,Paypal | Packing: | Wood Package |
| High Light: | Opaque Bottle Inspection System,Linear Cameras Bottle Inspection System,Sidewall Bottle Inspection System |
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External Sidewall Inpection Opaque Bottle Defects Detection In Linear Cameras
Product background
In the process of beer brewing, there are many factors that affect product quality, such as raw material quality, craftsmanship, brewing technology, etc. In addition, bottle defects and dirt (bottle mouth, bottle body and bottle bottom) are also a key factor affecting beer quality. Therefore, the empty beer bottles must be tested before beer filling, and the unqualified products must be rejected before the beer filling can be carried out. At present, most breweries in my country still use manual inspection of the quality of empty beer bottles, which is inefficient, slow and labor-intensive.
Machine vision is very suitable for measurement, inspection and identification in the process of mass production, and the application of linear array CCD in continuous and scanning online measurement is very advantageous. Using machine vision detection method can greatly improve production efficiency and production automation, and machine vision is easy to achieve information integration, which can greatly improve product quality and production efficiency. Therefore, for the highly repetitive work of beer bottle detection, it is of great significance in practice to develop a set of beer empty bottle detection devices to realize automatic detection of empty bottles by applying machine vision theory.
Inspection principle
Machine vision is to use machines instead of human eyes to measure and judge. The machine vision system refers to converting the captured target into an image signal through a machine vision product (ie, image capture device, divided into CMOS and CCD), and transmits it to a dedicated image processing system. The image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discrimination.
System features
1) The material is glass, which is a difficult problem for many traditional detection technologies;
2) The detection of empty beer bottles emphasizes real-time and online to ensure full control of the process and improve production efficiency and product qualification rate. For example, the production speed of many beer production lines is more than 36,000 bottles/hour, which cannot be provided by many traditional testing methods;
3 The shape of the empty bottle is complex, which is not conducive to the realization of contact detection, and the non-contact method is a problem that cannot be solved by traditional detection technology.
According to the characteristics and requirements of beer empty bottle detection, in practice, the detection is mainly carried out in four aspects.
The detection links and detection contents are briefly listed as follows
1. Bottle mouth inspection: bottle mouth sealing surface inspection, thread inspection
2. Bottle wall detection: inner and outer surface contamination detection, abrasion detection, packaging label detection
3. Bottle bottom detection: bottle bottom dirt, cracks
4. Detection of residual liquid in the bottle: residual lye, residual oil, residual water
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
Contact Person: Ms. Amy Zheng
Tel: +86 17355154206/+86 186 5518 0887
