Machine vision is the use of machines to measure and judge instead of human eyes. It converts the target object into an image signal through an image acquisition device and transmits it to an image processing system. The system converts it into a digital signal based on pixel distribution, brightness, color, and other information. The image system performs various operations on these signals to extract the features of the target, and then obtains information based on the recognition results.
With the maturity and development of industrial automation technology, machine vision technology is widely used in automated production and manufacturing, and the industry is entering a new stage of rapid growth. Machine vision plays an important role in industrial automation.
People have limited time to continue to work effectively, and they are prone to fatigue and lack of energy in the repetitive mechanical testing process, resulting in relatively low detection efficiency.
The appearance of machine vision measurement has greatly improved this situation. Machine vision can detect hundreds or even thousands of parts per minute. Especially when detecting high-speed moving targets, machines can work continuously for 24 hours to improve detection efficiency.
Human eyes are limited by physical conditions. Even when using magnifying glasses or microscopes to inspect products, they will be affected by subjectivity, physical factors, etc., and accuracy cannot be guaranteed. Different inspectors will have different standards.
Machines are not subject to subjective control. As long as the parameter settings are not different, machines with the same configuration can ensure the same accuracy.
Manual inspection is a long-term and continuous cost investment. Traditional product testing belongs to the labor-intensive field. Now, both labor and management costs are increasing.
The investment in machine vision detection is mainly short-term, ensuring long-term output with a one-time investment. In addition, machine detection is more efficient than manual detection. In the long run, the cost of machine vision detection is lower. Therefore, machine vision optics is becoming more and more popular in the market.
One person can only inspect one content at a time. When manual inspection faces different test contents, it can only be completed through multi-station coordination.
Machine vision inspection can measure multiple technical parameters at once through multi-station measurement methods, such as the shape, size, appearance defects, and height of the product to be inspected.
All measurement data generated by machine vision can be independently copied or copied through network connection, which is convenient for production process statistics and analysis. At the same time, staff can export specified measurement data and generate reports after measurement without manual addition one by one.
Machines can complete detection work continuously for 24 hours without fatigue. Human energy is limited, and long-term repeated detection will inevitably become tired. At this time, it is easy to miss detection, false detection, and other mistakes, causing significant losses.
Machines can operate in harsh, dangerous environments, and in situations where human vision is difficult to meet the requirements.
Machine vision does not require contact with the workpiece during the detection process, nor will it cause contact damage to the workpiece. Manual inspection requires inspection of the workpiece, which is prone to contact damage.
In the manual testing process, the test results will be affected by individual standards, emotions, and energy factors. Machines strictly follow the set standards and the test results are more objective, reliable, and stable.
Some special production lines, such as pharmaceutical production sites, have extremely high hygiene requirements for the production and testing processes. Machine vision detection can avoid human pollution and ensure the cleanliness and quality of production testing.
These are the advantages of machine vision testing in industrial automation. In addition, because machine vision systems can quickly obtain a large amount of information, automatically process it, and easily combine it with design information and processing control information, it is widely used in finished product inspection and quality control in modern automated production processes.
At the same time, in large-scale industrial production processes, when manual inspection of product quality is too low in efficiency and accuracy, machine vision detection can greatly improve industrial production efficiency and automation degree, reduce rework, reduce recalls, protect brand image, and improve enterprise competitiveness.
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