Cameras To Industrialized Vision Inspection Systems Online Defects Detection Machine

Brand Name:KEYE
Certification:CE/ISO 9001
Model Number:KVIS
Minimum Order Quantity:1 SET
Delivery Time:6 to 8 weeks
Payment Terms:L/C, T/T
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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

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

KEYE Camera inspection system consists of material handling system, vision system, software system, central control system and execution system. The detected objects are sorted through the material sorting system to ensure that the detected objects are oriented in the same direction and evenly distributed, and then enter the vision system to take 360° images of the detected objects, and transmit the image data to the software system to identify the detected objects. Sorting, issuing rejection and sorting instructions to the execution system.


Advantages of Ai Algorithm

Accuracy of results: Compared with traditional vision algorithms, the stability of deep learning algorithms is greatly improved, and it can adapt to general disturbances in the environment and background. At the same time, the accuracy of the algorithm is also higher than that of traditional vision algorithms;
Algorithm versatility: For different defects, only a small number of defect samples need to be collected. After sufficient training, different defect samples can be automatically identified. The algorithm adopted is a unified algorithm framework;
Development timeliness: Since there is no need to develop algorithms for different defects, the entire development cycle is greatly shortened, and general visual defect projects only need 2-3 hours to go online for testing;
Environmental reliability: Due to the guarantee of GPU computing power, the entire system can work in a high-temperature environment for a long time with sufficient computing power margin.

System Overviews

  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 degree 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

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.

China Cameras To Industrialized Vision Inspection Systems Online Defects Detection Machine supplier

Cameras To Industrialized Vision Inspection Systems Online Defects Detection Machine

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