Machine vision material level gauge and its method for measuring material level

Abstract

The invention relates to the field of material level measurement and discloses a machine vision material level meter and a method adopting the same for material level measurement. The method comprises steps as follows: at least two beams of parallel light and at least one beam of oblique light forming a preset included angle with the parallel light are projected on the surface of a to-be-measured material by a light emitting assembly; an image collecting assembly is used for collecting images of parallel light spots and oblique light spots formed after the parallel light and the oblique light irradiate the surface of the to-be-measured material and sending the images to an arithmetic processor, the arithmetic processor performs arithmetic processing on the images according to known necessary information, and material level information is obtained. The influence of the imaging principle and factors such as zooming and the like of the image collecting assembly on image collection and calculation can be greatly eliminated, the calculation amount of the measurement is simplified, a large amount of calibration is not required, continuous material measurement of machine vision is truly realized, fixed-point monitoring of a measurement point can be realized, an inclination angle and the temperature of the material surface are acquired, real-time images of measurement space are acquired, the measurement is accurate, reliable and concise, and an algorithm is simple and efficient.

Description

technical field [0001] The invention relates to the field of material level measurement, in particular to a machine vision material level gauge and a method for measuring material level. Background technique [0002] With the rapid development of technology, the idea of ​​relying on machine vision recognition and calculation for material level measurement and monitoring has been widely concerned, because machine vision recognition can not only display the height or distance of materials (objects) in real time, but also show users the measurement The image of the object allows users to monitor the surveillance environment "seeing is believing". [0003] However, the main reason why machine vision material level monitoring equipment has not been widely used and popularized in actual production and life for many years is because the existing machine vision material level monitoring equipment and methods cannot meet the real requirements of the production site. Conditions or me...

AI Technical Summary

Problems solved by technology

[0029] The reason why the above existing machine vision recognition methods cannot be really used is that they ignore the imaging principle characteristics of video and image equipment: even for an image of the same area, under the same imaging focal length parameters, the farther away from the image acquisition device, the smaller the image; If you consider that zooming is required to obtain a clear image, the image size of the image of the same area is more complex and changeable in the image acquisition device

Therefore, the existing technology ignores the basic imaging principle of the image acquisition device and the more complex problems brought about by the zoom of the image acquisition device, no matter by directly acquiring the image or by comparing the image with the pre-stored image or directly calculating the projected spot area or the method of deviating from the pixel. Parameter changes cannot be truly implemented, and the accurate material level of the material cannot be obtained

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