Anhui Keye Information & Technology Co., Ltd.
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| Place of Origin: | CN |
| Brand Name: | KEYE |
| Certification: | CE/ISO 9001 |
| Model Number: | KVIS |
| Minimum Order Quantity: | 1 SET |
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| Price: | Negotiable |
| Packaging Details: | Fumigation-free wood |
| Delivery Time: | 6 to 8 weeks |
| Payment Terms: | L/C, T/T |
| Supply Ability: | 30 sets per month |
| Name: | Vision Camera Inspection System For Containers Before Filling | Accuracy: | 99.5% |
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| Voltage: | 220V/50HZ | Type: | Fully Automatic |
| Camera: | High Speed Processing | Weight: | 350kg |
| Suitable: | FMCG Packaging | Material: | SS 304 |
| Origin: | CN | Loading Port: | Shanghai |
| High Light: | 220V Vision Camera Inspection System,Container Camera Vision Inspection System,SS304 Automatic Camera Inspection Machine |
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Features of System
| 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 |
Company Profile
Keye Technology relies on the Keye Laboratory of Pattern Recognition of the University of Science and Technology of China, and has a high-level doctoral R&D team covering the entire technology chain of optics, mechanics, electricity, computing and software.
Through the project practice in the fields of packaging containers, 3C, medicine, textile, food, etc., the KVS-AI software and hardware platform has been created, so that AI technology can be transformed into real productivity. We provide visual imaging, algorithm computing power and automatic control AI system solutions for various sub-industries.
Inspection Principle
The equipment uses the latest AI vision detection technology and is equipped with 10set high-resolution cameras to analyze the attributes of the front and back sides of glutinous rice. Through the registration algorithm, the front and back sides of the glutinous rice are registered one by one, and their respective attributes are combined to obtain a synthesis.
The properties of a whole piece of glutinous rice; use deep neural network to segment the sticky glutinous rice at instance level to easily deal with the sticking situation of glutinous rice; at the same time, open the cloud platform to remotely train samples of different customers to meet customer customized classification standards.
| Model.No | KVS-GW | Inspect speed | 600-200pcs/min |
| Size | 800*600*600mm | Weight | 110kg |
| Voltage | 220V±10%,50Hz | Current | 500-1000W |
| Ambient temperature | 10~30℃ | Environment humidity | Relative temperature≤85% |
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.
Contact Person: Ms. Amy Zheng
Tel: +86 17355154206/+86 186 5518 0887
