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Anhui Keye Information & Technology Co., Ltd.

  • China,Hefei ,Anhui
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China Small Size Grain 3d Inspection Equipment For Raw Rice Analyze
China Small Size Grain 3d Inspection Equipment For Raw Rice Analyze

  1. China Small Size Grain 3d Inspection Equipment For Raw Rice Analyze
  2. China Small Size Grain 3d Inspection Equipment For Raw Rice Analyze
  3. China Small Size Grain 3d Inspection Equipment For Raw Rice Analyze
  4. China Small Size Grain 3d Inspection Equipment For Raw Rice Analyze

Small Size Grain 3d Inspection Equipment For Raw Rice Analyze

  1. MOQ: 1 SET
  2. Price: Negotiable
  3. Get Latest Price
Payment Terms L/C, T/T
Delivery Time 2 to 4 weeks
Packaging Details Fumigation-free wood
Supply Ability 1 set per 2 weeks
Warranty 1 Year
Color Grey
Weight 60kg
Light source LED
Applicable Raw rice analyzer
ODM/OEM Available
Packing Wood package
Payment L/C,T/T,Paypal,Credit card
Brand Name KEYE
Model Number KVIS-A-Rice
Certification No
Place of Origin China

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  1. Product Details
  2. Company Details

Product Specification

Payment Terms L/C, T/T Delivery Time 2 to 4 weeks
Packaging Details Fumigation-free wood Supply Ability 1 set per 2 weeks
Warranty 1 Year Color Grey
Weight 60kg Light source LED
Applicable Raw rice analyzer ODM/OEM Available
Packing Wood package Payment L/C,T/T,Paypal,Credit card
Brand Name KEYE Model Number KVIS-A-Rice
Certification No Place of Origin China
High Light Basmati Rice spices quality testing machine60kg spices quality testing machineBasmati rice quality testing equipment

Product background

As people's living quality is improving day by day, the quality of rice is more and more concerned by consumers. At present, the traditional methods of sensory evaluation and manual detection are mostly used to evaluate the quality of rice. However, with the development of science and technology, digital image processing technology can be widely used in the agricultural field. The rice appearance quality detector can automatically analyze and measure the appearance quality indicators such as grain shape, whole grain number, broken rice grain number, chalkiness, transparency and so on with the help of machine vision technology, which makes the detection of rice quality faster and more accurate.

Machine vision technology uses image acquisition equipment such as cameras or cameras and image processing software to work together to replace the human eye for image recognition, size measurement, shape matching, etc. Its advantage is that the measurement equipment does not have subjective factors, No fatigue, consistent and fast measurements every time. The rice appearance quality detector can automatically detect the appearance quality indicators of rice and rice after obtaining the image through the scanner. Testing units, grain distribution enterprises, processing enterprises, etc.

 

Inspection principle&system parameters

Using the KEYE Rice Appearance Quality Tester, each analysis image, distribution map and result data can be saved, and the analysis results can be output to an Excel sheet. The measurement error of the length and width of the equipment is ≤±0.05mm, the error of the whole milled rice rate is ≤±1.0%, and the precision is high; and the system can manually delete abnormal rice, the data can be automatically updated, and the inspection is more accurate. It can be used for the quality inspection of imported rice In the evaluation, control the rice quality.

Detection speed 1000fps
Voltage and current Adapt to customer national standards
Environment temperature -10℃~+45 Celsius
Environment humidity Below 85% (no condensation)
Weight 60kg
ODM/OEM accept

 

Detection method

1. Automatic binarization: Use deep neural network to segment the foreground and background of the image. Compared with the traditional binarization method, it can be applied to a variety of lighting conditions, and the edge segmentation of rice is smoother, fast and robust High advantages.

2. Adhesive rice segmentation algorithm: The method based on connected domains cannot segment the adhered rice. The deep neural network is used to segment the adhered rice at an instance level, which can reach a speed of 1000fps and can process the adhered rice in real time.

3. Rice attribute recognition algorithm: adopts a lightweight neural network and integrates a semi-supervised learning method. The model can be iteratively optimized only by marking a small amount of data. It has the advantages of high accuracy, fast speed, and convenient deployment.

 

Our advantages

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 Details

Bronze Gleitlager

,

Bronze Sleeve Bushings

 and 

Graphite Plugged Bushings

 from Quality China Factory
  • 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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  • Anhui Keye Information & Technology Co., Ltd.
  • 168 TangKou Road,Taohua Industrial Park,Hefei,Anhui
  • https://www.visual-inspectionsystem.com/

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