Embedded automatic ruler reading device and method based on visual sensing

Abstract

The invention discloses an embedded automatic ruler reading device and method based on visual sensing. The embedded automatic ruler reading device comprises an image collection unit, a result displayunit and an image processing unit, the image collection unit comprises an LED illumination light source and a digital camera. The result display unit comprises an LCD display screen. The image processing unit comprises an embedded main controller and an upper computer; wherein the embedded main controller receives information acquired by the camera and displays an image of a ruler to be identifiedand a reading result of the ruler to be identified on the LCD display screen, and the embedded main controller communicates with the upper computer to realize remote transmission of the reading result of the ruler to be identified. The ruler digital character can be segmented, positioned and recognized, the scale of the ruler in the center of the field of view can be accurately read, and the current ruler image and the reading in the center of the field of view are displayed on the embedded liquid crystal screen, so that human eyes are replaced for automatic measurement, gross errors generated by manual reading are eliminated, Meanwhile, the reading efficiency and precision are improved.

Description

technical field [0001] The invention relates to the realization of visual measurement technology using image recognition technology of visual sensing, in particular to an embedded automatic ruler reading device and method based on visual sensing. Background technique [0002] In a large number of current industrial sites, the traditional method of reading the ruler is still used for the measurement of the length. This method is mature, reliable, low in cost, and convenient for manual reading. However, experiments have shown that in the process of mass industrial production, machine vision measurement methods can obtain higher accuracy and efficiency than artificial vision inspection methods, because the fatigue and inconsistency of artificial vision measurers, and many measurement tasks are for Manually, it is time-consuming and labor-intensive, which greatly increases the overall cost of measurement. It has been reported that manual measurements can only achieve 80% effect...

AI Technical Summary

Problems solved by technology

However, experiments have shown that in the process of mass industrial production, machine vision measurement methods can obtain higher accuracy and efficiency than artificial vision inspection methods, because the fatigue and inconsistency of artificial vision measurers, and many measurement tasks are for Manually, it is time-consuming and labor-intensive, which greatly increases the overall cost of measurement

According to reports, manual measurements can only achieve 80% effectiveness at best

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