Real Time Detection System For Bottle Surface Defects Based On Machine Vision
Brand Name:KEYE
Certification:No
Model Number:KVIS
Minimum Order Quantity:1 SET
Delivery Time:4 to 6 weeks
Payment Terms:L/C, T/T
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Site Member
Location:
Hefei Anhui China
Address:
No. 56, Chang'an Road, Baiyan Science and Technology Park, High-Tech Zone, Hefei City, Anhui Province, China, 230088
Supplier`s last login times:
within 28 hours
Product Details
Company Profile
Product Details
Real Time Detection System For Bottle Surface Defects Based On Machine Vision
| System operating parameters | |||
| Dimensions | See the design drawings for details | Power and frequency | 220V 20A 50HZ |
| Total power | 5kw ~ 6kw | Air pressure | 0.5~0.8MPa Purify and oil-free |
| Working temperature | -20℃ ~ 60℃ | Working humidity | Below 50% relative humidity |
Inspection standards
| Item | Camera | Position | Inspect | Accuracy | Speed |
| KVIS | 1 | Front area | foreign item,label issue(scratch,printing,skewing,etc.) | 99% | 2500pcs/h |
| 4 | Inner side | black spot,filling material,stain | |||
| 4 | Outside | ||||
| 1 | Bottom side |
Company profile
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 products in traditional manufacturing to make the production more digitization , Intelligence, visualization, and persistence. Also greatly improves the efficiency and accuracy of industrial detection, and enhances the intelligent level of the manufacturing industry.
Inspection principle
Our company's design plan uses 6 sets of high-resolution industrial cameras and high-performance light sources to carry out all-round visual inspection for the appearance defects of plastic barrel products.The testing speed is 2500 pieces/hour, and the equipment can realize 7*24 hours of round-the-clock operation, and the unqualified products can be automatically eliminated online.
The whole set of testing equipment includes mechanical parts,
visual electronic hardware and testing system software. The
entrance and exit of the testing machine can be integrated with the
on-site conveyor line (specific docking
Please refer to the design drawings for details), and can connect
upstream and downstream production equipment (such as electrostatic
dust removal, disinfection and other production line equipment)
according to the specific production needs of customers.
Inspection details
- 1. The conveyor line in front of the detection machine is connected to the incoming material conveying device to ensure that each incoming material is a barrel, and according to the site situation, the mouth of the incoming barrel is upward;
- 2. The front conveying line transports the products with the mouth upwards stably and orderly to a section of the upper adsorption belt, and the whole barrel is suspended and adsorbed on the belt, and a set of 3 million is arranged directly below the belt
- The pixel industrial camera is used to collect the image of the outer bottom of the barrel;
- 3. After the image acquisition of the outer bottom is completed, the barrel is adsorbed by the upper adsorption belt and continues to move forward until it is successfully received by the rear conveyor belt. The barrel passes through the rear conveyor belt to the backlight detection unit.
- There are 5 sets of 3 million pixel industrial cameras arranged in this station. The arrangement is that the 4 sets of cameras are respectively located at the two diagonals of the barrel, and at the same time, the
- Two strip light sources are arranged on both sides, 4 sets of cameras are respectively aimed at the four outer edges of the barrel to collect 4 side images of the barrel, and another set of cameras is arranged on the top of the barrel downwards
- Collect the image of the inner bottom surface of the bucket;
- 4. The high-resolution sample images captured by the above 6 sets of industrial cameras will be transmitted to the image processing software, and compared with the standardized samples to determine good and bad products, and
- Control the corresponding pneumatic components to remove defective products, and finally collect qualified products.
- 5. The software will open the sample comparison standard, and the production personnel at the customer site can control the comparison accuracy and choose the most suitable accuracy standard for their own production conditions, so as to control
- defective rate.
Machine configurations
| Specifications | Q'ty | |
| Industrial camera(KEYE 3 million pixels) | 6 | SET |
| Plane lens(KEYE) | 5 | PCS |
| Ring inner lens(AZURE/HK) | 1 | PCS |
| Frequency flash source(EVERLIGHT) | 3 | SET |
| Photoelectric sensor(SICK) | 2 | PAIR |
| High-speed solenoid valve(SMC) | 1 | PCS |
| Industrial power(MEAN WELL) | 3 | PCS |
| Circuit trigger board(KEY-PC-2.1) | 1 | PCS |
| Industrial computer(ADLINK) | 1 | SET |
| Hd touch device(AOC 21’) | 1 | SET |
After-sale service
The company has a complete technical service team and rapid response mechanism, and has dedicated service specialists for each customer, who can receive technical consultation and fault reports from customers at any time. And to ensure rapid response to customer emergencies, to ensure that customers receive satisfactory service.During the epidemic or due to special reasons, when after-sales engineers are unable to reach the site, the service center can remotely adjust customer equipment for troubleshooting and technical consultation.
After the equipment arrives at the customer site, the after-sales engineer arrives in time to carry out equipment installation, commissioning, and operation training. The product quality of the whole machine is traceable, and the quality warranty period is 1 year from the date of acceptance. In the event of non-human faults during the warranty period, after-sales engineers will quickly arrive at the site or provide remote guidance for free maintenance.
Real Time Detection System For Bottle Surface Defects Based On Machine Vision
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