Particulate counting method

Abstract

The present invention discloses a particulate counting method and device thereof, wherein the method includes the steps of collecting the particulate image through camera device, identifying and counting the particulate with intelligent image processing and machine learning technique, placing a transparent tray in photographic area, which above, left, right and back sides are respectively provided with a group of material lighting source with adjustable angle and light intensity, placing camera device communicating with the computer on the transparent tray, calling the device driver of camera device via interface, using the keyboard and mouse to take photos for particles while managing and processing image data with counting module, rapidly pre-identifying the image photographed, screening out unsatisfactory photos to complete accurate counting. The invention has advantages of rapid processing, strong consistency of results and batch processing of modern image processing, so as to count particles efficiently, rapidly and accurately.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a particle counting method and a device thereof. Background technique [0002] The so-called 1,000-grain weight is the weight of 1,000 grains (seeds) expressed in grams. It is an indicator that reflects the size and fullness of the grains. evaluation index. At present, the determination of the thousand-grain weight index is mainly based on manual counting, that is, counting one thousand grains (seeds) and obtaining the weight of the grains by weighing. With this method of manual counting, since human eyes are prone to fatigue after long-term high-intensity work, the counting accuracy is difficult to guarantee, and the counting efficiency is low. In order to improve the counting efficiency, various methods and technologies for counting grains using identification technology have emerged. For example, the following patents disclose methods or equipment for counting grains (par...

AI Technical Summary

Problems solved by technology

This method is suitable for the classification and screening of granular materials, so it does not give a solution to the counting problem of granular materials

At the same time, this method involves a relatively cumbersome process, which limits the scope of application and application scenarios of the system to a certain extent.

[0007] In summary, although the existing technologies have improved the accuracy and counting efficiency of particle counting and realized automatic detection, these technologies usually require professional and expensive equipment (such as laser or near-infrared), or image quality The requirements are high, and the structure is relatively complicated, and the requirements for operators are high

Not suitable for lightweight solutions in field work

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