A brief discussion on the application and advantages of machine vision technology

Many people may have heard of machine vision technology, but do not know much about it. Machine vision systems refer to the use of machines to replace human eyes to make various measurements and judgments. Machine vision is a very important research field in the fields of engineering and science. It is a comprehensive subject involving many fields such as optics, mechanics, computers, pattern recognition, image processing, artificial intelligence, signal processing, and optoelectronic integration. Below, the editor of Dior Technology will introduce to you the application and advantages of machine vision technology, hoping to help everyone better understand the machine vision system.

In recent decades, machine vision technology has been widely used in industrial inspection due to its outstanding advantages such as non-contact, fast speed, appropriate accuracy, and strong on-site anti-interference ability, and has achieved huge economic and social benefits.

In the field of intelligent traffic monitoring, by placing cameras at important intersections, you can use the camera's rapid photo-taking function to automatically identify and store license plates that violate traffic regulations, drive against traffic, etc., so that relevant staff can view them.

In the medical field, machine vision is mainly used for medical auxiliary diagnosis. First, images recorded by human body examinations such as nuclear magnetic resonance, ultrasound, laser, X-ray, and gamma ray are collected, and then digital image processing technology and information fusion technology are used to analyze, describe and identify these medical images. Finally, relevant information is obtained, which plays an important role in assisting doctors in diagnosing the size, shape and abnormality of human disease sources, and providing effective treatment.

Different medical imaging equipment obtains biological tissue images with different characteristics. For example, X-rays reflect bone tissue, and MRI images reflect organic tissue images. Doctors often need to consider the relationship between bone and organic tissue, so they need to use digital image processing technology to appropriately superimpose the two images to facilitate medical analysis.

The detection method based on machine vision uses a CCD camera to obtain the apparent picture of the bridge, and then uses computer processing to automatically identify the crack image, separate it from the background, and then calculate the crack parameters. It has the advantages of convenience, intuitiveness, accuracy, non-contact, good reproducibility, strong adaptability, high flexibility, and low cost. It can liberate labor and eliminate human interference, and has good application prospects.

Bridge detection technology based on machine vision mainly includes three parts: acquisition technology of bridge appearance images, image-based automatic crack recognition theory and algorithm, and image-based quantitative measurement method of crack width and other disease extent.

1. Efficiency:

   The rapid development of industrial automation has greatly improved production efficiency, which has put forward higher requirements for detection efficiency. Machine vision can detect products faster than humans. Especially when detecting high-speed moving objects on the production line, machines can improve detection efficiency, and the speed can even reach 10-20 times that of humans.

2. Objectivity:

   Manual inspection will inevitably cause fatigue. At the same time, there is a fatal flaw, which is the subjectivity brought by emotions. The inspection results will change according to the mood of the inspector; while the machine has no emotions, and the inspection results it brings are naturally more objective and reliable.

3. Accuracy:

   The machine has obvious advantages in terms of accuracy. Its accuracy can reach one thousandth of an inch. As long as there is no difference in parameter settings, multiple machines with the same configuration can maintain the same accuracy.

4. Repeatability:

   The machine can complete the inspection work in the same way again and again without getting tired.

5. Environment:

   Machine vision converts the target into an image signal through an image capture device and transmits it to a dedicated image processing system. During the process of measuring the workpiece, there is no need to contact the workpiece, so it can adapt to harsh and dangerous production environments and will not cause contact damage to the workpiece.

6. Information integration:

   Machine vision can use multi-station inspection methods to complete the measurement of multiple technical parameters such as the outline, size, appearance defects, and product height of the product to be inspected at one time.

7. Cost:

   The initial investment in machine vision will be relatively large, but it is a one-time investment and long-term output. As machine vision develops more and more rapidly, the price will gradually decrease.

8. Digitization:

   The measurement data generated by machine vision during the work process can be copied independently or copied out through network connection, which facilitates statistics and analysis of the production process. At the same time, you can also export specified data and produce reports after detection, without the need to manually add them one by one, which is undoubtedly much better than manual detection data statistics.

The above is an introduction to "the application and advantages of machine vision technology". Generally speaking, compared with manual inspection, machine vision has the characteristics of automation, objectivity, non-contact and high precision. Especially in the field of industrial production, machine vision emphasizes the accuracy and speed of production, as well as reliability in industrial field environments. It has great application value in repetitive and mechanical work, and is an important step for enterprises to realize automated production.