Machine vision image detection

Introduction: Machine vision is using the machines to instead of human eyes or using sensors to do some measurement and judgment. Machine vision system means by the machine version product (ie, image acquisition device, divided into CMOS and CCD) to covert the target into image signal, and transmitted to a special image processing system, according to pixel distribution, brightness, color, etc., image processing system performs various operations on these signals to extract features of the target, such as square, number, position, and length, and then outputs the results according to preset allowable degrees and other conditions, including size, angle, number, pass/fail, With/without, the automatic identification function is implemented, and the device action on the site is controlled according to the result of the discrimination.

Machine vision and manual detection advantages

1. Where human eye detection is required, the test results depend on the operator's fatigue, responsibility and experience.

 2. Automatic detection can be implemented in unfavorable environments such as high temperature furnaces, and the detected information can be recorded for subsequent statistical analysis.

 3, machine vision can increase the speed of the entire production, and will reduce the overall rejection rate.

 4. Machine vision can help increase user confidence in the manufacturer's products and increase sales.

5, machine vision can achieve 100% online product testing, automatic robot sorting, easy system integration.

 6, because the machine is faster than people, a device can take on the task of several people, and the machine does not need to pause, can work continuously. Can improve work efficiency and save costs.

Applications: length measurement, width measurement, flow rate, statistics, defects, quality inspection, temperature, shape, speed, character, coding, etc.