Ore machine vision recognition device based on visible light or infrared rays and recognition method thereof

Abstract

The invention discloses an ore machine vision recognition device based on visible light or infrared rays and relates to the technical field of ore machine vision recognition. Two photoelectric sensors with a same structure are symmetrically arranged on the left side and right side of the top of the inner cavity of the device. The bottom of an installation plate is connected to a high speed camera through an installation support. The invention also provides an ore machine vision recognition method. The method comprises the following steps: step one, adjusting the image capturing angle; step two, collecting the images and delivering the images to a controller; and step three, analyzing the collected images by the controller. The provided device and method are used to recognize and sort ores in industrial production, have the characteristics of quickness, large information amount, many functions, and high efficiency, avoid the subjectivity and individual difference in artificial detection, can well replace humans, can do the work that cannot be done by humans, reduce the work labor, and improve the product quality and production efficiency.

Description

technical field [0001] The invention relates to the technical field of ore machine vision recognition, in particular to an ore machine vision recognition device and a recognition method based on visible light or infrared rays. Background technique [0002] At present, in the mining field of our country, the traditional artificial naked eye identification method is still used in ore identification, and its disadvantages are obvious. Take advantage of the powerful advantages of machine vision technology: fast speed, large amount of information, multiple functions, and high efficiency. If machine vision technology is applied to ore identification and detection, it will have incomparable advantages over manual detection. The important characteristics of texture distribution and unique color of effective mineral elements in ore, using machine vision to detect can not only eliminate the interference of human subjective factors, but also quantitatively describe these indicators, a...

AI Technical Summary

Problems solved by technology

The detection principle of machine vision technology is derived from the human visual system. No matter how optimized the method is, it can only achieve semi-quantitative ore content, which can be infinitely close to the real value of ore content, but cannot achieve full quantification of ore content.

At present, in addition to chemical inspection methods that can achieve approximately full quantitative determination of ore content, both X-ray technology and machine vision technology can only achieve semi-quantitative analysis.

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