Anhui Keye Information & Technology Co., Ltd.
| Payment Terms | L/C, T/T |
| Delivery Time | 4 to 6 weeks |
| Packaging Details | Fumigation-free wood |
| WEIGHT | 500kg |
| COLOR | GRAY |
| Test Report | Provided |
| Key technology | AI inspection |
| Information storage | Available |
| Air pressure | 0.5~0.8MPa Purify and oil-free |
| Working temperature | -20℃ ~ 60℃ |
| Working humidity | Below 50% relative humidity |
| Brand Name | KEYE |
| Model Number | KVIS-B |
| Certification | NO |
| Place of Origin | China |
View Detail Information
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Product Specification
| Payment Terms | L/C, T/T | Delivery Time | 4 to 6 weeks |
| Packaging Details | Fumigation-free wood | WEIGHT | 500kg |
| COLOR | GRAY | Test Report | Provided |
| Key technology | AI inspection | Information storage | Available |
| Air pressure | 0.5~0.8MPa Purify and oil-free | Working temperature | -20℃ ~ 60℃ |
| Working humidity | Below 50% relative humidity | Brand Name | KEYE |
| Model Number | KVIS-B | Certification | NO |
| Place of Origin | China | ||
| High Light | Sake Bottle Inspection System ，AI vision Bottle Inspection System ，500kg machine vision for quality control | ||
Sake, as a cultural symbol, is known by more and more people, and its clear and rich taste has accumulated a certain number of fans in countries all over the world. Sake is a kind of grain juice wine, so it should not be stored for a long time. Sake is easily affected by sunlight. When white bottled sake is exposed to direct sunlight for 3 hours, its color will darken by 3 to 5 times, so it should be kept away from light as much as possible. Therefore, the requirements for light transmittance of the container for the sake are very high. At the same time, Requires low temperature (10～12℃) storage. Under the influence of the above various factors, the packaging detection of sake has been adopted by many manufacturers. The bottle itself is photographed through a special light source, which intuitively reflects the defects of the bottle body. Helps improve the production efficiency of the factory and save costs,
Detection principle
The system transports the bottles to the predetermined station in a stable and orderly manner, and then transmits the captured sample image to the image processing software through the high-pixel industrial camera, compares with the standardized sample and distinguishes the defective product and the good product, and controls the corresponding pneumatic components to reject defective products and collect qualified products.
The software sets the comparison standard for the samples, operators can control the comparison precision and choose the precision standard that best suits themselves, thereby controlling the defect rate and greatly reduce costs.
Detection details
Our design plan uses 11 sets of high-pixel industrial cameras and high-performance stroboscopic light sources to carry out comprehensive detection for bottle mouth, bottle bottom and bottle body defects. The whole set of detection equipment includes mechanical parts, visual electronic hardware and detection systems. The software, the entrance and exit of the detection machine can be integrated with the conveyor line, the detection speed is 9600 pieces/hour, the equipment can realize 7*24 hours of operation, and the unqualified products can be automatically rejected.
| System operating parameters | |||
| Dimensions | 2.3×0.85×1.8(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 |
The detection standards are as follows:
| 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 | Qualified product 99.5% | ||
| Hole | ≥1mm | Qualified product 99.5% |
Examples of sample detection patterns
The patterns shown below are all real-time shots in the existing Keye detection system. The details are as follows:
Black spots or impurities in all positions of the bottle.
Product configuration details
1. Mechanical part
| Name | Quantity | Unit |
| Gear | Several | pcs |
| Bearing | Several | pcs |
| Motor | 4 | pcs |
| Belt | 4 | pcs |
| Transmission Parts | 1 | set |
| Sheet metal parts | 1 | set |
| Rocker | 1 | set |
| Plexiglass | 1 | set |
2. Electronic component part:
| Name | Quantity | Unit |
| 1.3 million pixel camera | 11 | pcs |
| camera lens | 11 | pcs |
| Stroboscopic flash source | 3 | pcs |
| Laser beamer | 2 | pair |
| High-speed solenoid ejector | 2 | pcs |
| Industrial Power | 3 | pcs |
| Circuit trigger board | 1 | pcs |
| Frequency converter | 5 | pcs |
| Industrial computer | 1 | pcs |
| HD touch screen | 1 | pcs |
| Pneumatic Components | 1 | set |
| Warning light | 1 | pcs |
| Terminal/relay | 1 | set |
| Strong and weak wires | Several | pcs |
Company Details
Business Type:
Manufacturer,Exporter,Seller
Year Established:
2011
Total Annual:
100,000-150,000
Employee Number:
100~150
Ecer Certification：
Site Member
About Us KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial produ... About Us KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial produ...
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