(1) In industrial inspection
In recent decades, in the industrial inspection, the advantages of non-contact, high speed, accurate precision and strong anti-interference ability of the visual system have made the machine vision technology widely used and achieved great economic and social benefits. .
Automated visual inspection has been used for product shape and surface defect inspection, such as wood processing inspection, metal surface inspection, diode substrate inspection, printed circuit board defect inspection, automatic identification of weld defects. These detection and recognition systems belong to two-dimensional machine vision, and the technology is relatively mature. The basic process is to acquire images with a camera, process and pattern the acquired images, and detect the required content.
(2) Medical applications
In the medical field, machine vision is mainly used for medical aided diagnosis. Firstly, images of nuclear magnetic resonance, ultrasonic, laser, X-ray, gamma-ray and other human body examinations are collected, and then these medical images are analyzed, described and identified by digital image processing technology and information fusion technology, and finally relevant information is obtained. It is important for the assistant doctor to diagnose the size, shape and abnormality of the human pathogen and to carry out effective treatment. Different medical imaging equipment obtain images of biological tissues 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 organic tissues and thus need to use digital image processing. The technique properly overlays the two images for medical analysis.
(3) Applications in the field of traffic monitoring
In the field of intelligent traffic monitoring, when the camera is placed at an important intersection, the camera's quick camera function can be used to automatically identify and store the license plate of the license plate such as violation and retrograde, so that the relevant staff can view it.
(4) Application in the field of bridge inspection
Both the manual detection method and the bridge inspection method rely on the manual inspection of the bridge surface with the naked eye. The speed is slow, the efficiency is low, the missed detection rate is high, the real-time performance is poor, and the traffic is affected. There are safety hazards and it is difficult to apply it extensively. Non-destructive testing includes Laser detection, ultrasonic detection and acoustic emission detection, etc., they are expensive, the measurement range is small, can not meet the growing requirements of bridge detection; intelligent detection of distributed crack detection automatic detection system and intelligence based on conductive materials Concrete technology also has cutting-edge machine vision-based inspection methods. Although the conductive material technology is easy to use, simple in equipment, and low in cost, it is necessary to paint or embed conductive materials on the concrete structure beforehand, and the intelligent concrete technology cannot determine a series of problems such as crack position and crack width. There is still a long distance; the machine vision-based detection method is to use the CCD camera to obtain the bridge image, and then use the computer to automatically identify the crack image, and separate from the background and then calculate the crack parameters. It has the advantages of convenience, intuition, precision, non-contact, good reproducibility, adaptability, high flexibility and low cost. It can free labor and eliminate human interference, and has a good application prospect.