Equipment features:
| 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 |
As a very popular sport and sports event in recent years, badminton has gradually improved the quality requirements of badminton by sports fans, and the feather types of badminton have gradually upgraded to better quality goose feathers. Because the length of the feathers on the same badminton must be the same, it is necessary to measure each feather, and then place the feathers of the same size and angle together, and at the same time, the feather level (1, 2, 3, 4, 5, Class 6), radius, fold printing, trimming and other categories are classified.
Due to the bleaching and drying procedures in the production of badminton, the feathers of the goose lose moisture and become easy to break. The AI high-efficiency goose feather sorting equipment developed by KEYE TECH fully considers various problems in the goose feather detection process, and classifies feather types through artificial intelligence deep learning, which has high detection efficiency and high precision, and can effectively replace manual detection which greatly improves the detection efficiency relative to manual. And can be compatible with a variety of testing needs
In the feather classification industry, there have been no efficient machines and algorithms to classify feathers. Moreover, traditional image processing algorithms need to design different image processing rules for different scenes. As scenes increase, the image processing rules will become more and more complex, and the recognition rate will become lower and lower. However, this equipment uses deep machine learning algorithms to train different types of feather pictures without adding or modifying the code. It has the function of identifying and classifying different types of feathers, which is more efficient in assisting the realization of the industry. Automation of detection
| Item | Parameter |
| Voltage | AC220V/50HZ |
| Power | 400W |
| Air pressure | 2-3Kgf/cm2 |
| Speed | 10000 pcs/hour |
| Weight | 200KG |
| Dimension | 130cm×180cm×100cm |
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.
Product Tags:
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High Speed AI Quality Inspection Machine for Goose Feather Sorting 160pcs/min Images
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