As one of the core technologies of modern industry, machine vision is playing an irreplaceable role in many industries with its unique advantages. Especially in the four key areas of 3C electronics, semiconductors, automotive engineering and aerospace, the application of machine vision not only improves production efficiency, but also enhances product quality and safety. Now let's explore the wide application of machine vision in these fields and the changes it brings!
3C electronics industry
The 3C electronics industry is one of the most mature fields of machine vision application. With the transfer of the global 3C electronics industry to developing countries, and the characteristics of high precision and fast replacement of 3C products, machine vision technology has been rapidly developed. Through the comprehensive application of high-precision industrial cameras, optical lenses, image processing software, machine vision controllers and other products, the accurate detection and production control of 3C electronic products is realized. In the 3 c electronic products manufacturing process, machine vision technology is widely used in the appearance inspection, the assembly clearance, accessories joint multiple links such as. For example, 2D and 3D visual inspection technologies are used to perform internal and external flexible inspection on servers to check whether labels are correctly attached and connectors are properly installed. In addition, machine vision also plays an important role in the deformation detection of internal parts of mobile phones, screen assembly gap detection, etc., which greatly improves the yield and production efficiency of products.
Semi-conductor
The semiconductor industry is one of the earliest large-scale applications of machine vision technology. Machine vision technology is widely used in semiconductor appearance defect detection, size measurement, flatness detection, positioning calibration, solder joint quality detection and many other links. As an important part of the machine vision system, sensors and readers often work together to promote the intelligence and automation of the production process. Sensors can obtain real-time semiconductor production process of various physical quantities, such as temperature, pressure, displacement, provide rich data support for the machine vision system. The code reader can read the two-dimensional code or bar code on the semiconductor device to achieve product traceability and identification. Through the collaborative work of sensors and code readers, the machine vision system can obtain various information in the semiconductor production process in real time, and carry out accurate analysis and processing. This not only improves production efficiency and product quality, but also reduces production costs and the risk of manual intervention.
Automotive Engineering
Machine vision technology is widely used in the field of automotive engineering, covering many links from automotive design and manufacturing to quality inspection and autonomous driving. For example, machine vision technology can monitor the size, shape, color and other characteristics of auto parts in real time to ensure that the product meets the design requirements; In terms of quality inspection, machine vision technology through high-precision image acquisition and processing, can identify the defects and defects of auto parts, such as scratches, pits, color deviations, etc., to ensure the appearance quality and safety of products. In addition, in the field of automatic driving, vision sensors and industrial cameras, as the "eyes" of the automatic driving system, can monitor the environment and obstacles around the vehicle in real time, providing accurate decision-making basis for the automatic driving system. They can recognize road signs, pedestrians, other vehicles, etc., to achieve lane keeping, pedestrian detection, collision warning and other functions, thereby improving driving safety and autonomy.
Aeronautics & Astronautics
In the field of aerospace, the application of machine vision technology is particularly important. As a key component of machine vision systems, industrial cameras play a vital role. Machine vision technology not only relies on industrial cameras, but also combines technologies such as digital image processing, machine learning, and artificial intelligence.
In the field of aerospace, machine vision technology can be used to improve the security of dangerous work environment, improve the production efficiency and reduce human error. For example, machine vision-based systems can detect aircraft via drones, intelligent detection devices, and infrared cameras. Machine vision technology can also support the UAV to adjust, accurately locate the target and complete the task independently during the flight. In addition, machine vision can also help spacecraft complete orbit autonomous navigation and precision guidance and control tasks.
Machine vision technology is highly dependent on a variety of hardware devices to achieve its functions and applications. Together, these devices form the core of the machine vision system, enabling it to accurately capture, efficiently process, and deeply analyze image data for a range of complex tasks.
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