Raw Rice Quality Analyzer Lab Use Grain Distribution Sorting Machine

Market 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.

Core technology

1.Automatic binarization: use deep neural network to segment the foreground and background of the image, smoothly segment the grain edge, and accurately locate the grain to be analyzed.

2.Adhesion material segmentation algorithm: deep neural network segments the adhering grains to form independent and complete grains, which are analyzed and classified.

3.Multi-attribute recognition: It adopts a lightweight neural network and integrates a semi-supervised multi-attribute learning method. The user can label a small number of samples of the grain to be analyzed, and then the data model can be updated to perform fast and high-precision analysis of the grain.

Equipment advantages&details

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 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, which can be used for the quality inspection of imported rice In the evaluation, control the rice quality.

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.