Machine vision systems have been widely used in various aspects of quality inspection, such as: large-scale workpiece parallelism and perpendicularity measuring instruments using laser scanning and CCD detection systems. Rotate the axis system, rotate the pentagonal prism to sweep out the reference planes that are parallel or perpendicular to each other, and compare them with the faces of the large workpiece to be measured.
When processing or installing large workpieces, the error detector can be used to measure the parallelism and perpendicularity between surfaces.
The dynamic detection system for on-line measurement of geometric parameters of hot-rolled rebar is completed by using the frequency bright light as the illumination light source, and using the area array and linear array CCD as the detection material of the profile and dimension of the rebar.
Machine vision system technology monitors bearing load and temperature changes in real time, eliminating the risk of overloading and overheating. The traditional passive measurement of machining quality and safe operation by measuring the ball surface is transformed into active monitoring.
Using microwaves as the signal source, the cracks on the metal surface are measured according to the square waves of different baud rates sent out by the microwave generator. The higher the frequency of the microwave wave, the narrower the measurable cracks.
Generally speaking, machine vision systems refer to the use of machines instead of human eyes to make measurements and judgments.
First, use the CCD camera to convert the target into an image signal, and then transmit it to a dedicated image processing system. According to the pixel distribution, brightness, color and other information of the image, the image is converted into a digital signal. The image system performs various operations on these signals to extract the characteristics of the object, such as area, length, quantity, location, etc. Finally, output results according to pre-set public service and other conditions, such as: scale, viewpoint, offset, quantity, pass/fail, yes/no, etc.
Machine vision systems are characterized by automation, objectivity, non-touch and high precision. Compared with general image processing systems, machine vision emphasizes accuracy and speed, as well as reliability in industrial field environments.
Machine vision systems are very suitable for measurement, inspection and identification in the mass production process, such as: part installation integrity, installation dimension accuracy, part machining accuracy, position/viewpoint measurement, part identification, feature/feature identification, etc.
The largest use areas for machine vision systems are: automotive, pharmaceutical, electronics and appliances, manufacturing, packaging/food/beverage, medicine. Check the machining accuracy of the car dashboard, the electronic components quickly positioned by the high-speed placement machine, check the password, the IC for the recognition of the printed characters on the surface, the wall thickness and appearance defects of the capsule produced by the capsule, check ball bearing production and damage, check food packaging production date marking, and check label location.
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