Application of machine vision in the automotive industry and future development trends

The wide application of machine vision is an indisputable fact. Currently, there are the following applications of machine vision in the automotive industry, which can be said to be at the forefront of automation.

Vision enhancement system can enhance the driver's visual ability at different times according to different climatic conditions. With the help of machine vision technology, CCD, infrared sensors, speed sensors, GPS, millimeter wave radar are used to obtain road information, and the information is transmitted and processed through image processing software to extract the useful information and remove the noise of the traffic environment under low visibility and low illumination, and provide it to the driver in the form of images in the shortest possible time to improve the safety of the vehicle driving.

Vehicle pedestrian detection applications

Vehicle detection and management system requires the use of machine vision design technology, you can make full use of a variety of sensors to detect the surrounding vehicle data information, including the front and rear of the vehicle speed,vision inspection systems positional relationship, and the size and location of obstacles and so on. Pedestrian detection control system is also the same principle of research applications, through machine vision technology to analyze and detect the location of travelers.

Fatigue Monitoring Application

At present, in the research of driving fatigue monitoring system, the vehicle-mounted machine vision system is often used to monitor the human body's posture and operating behavior. When the driver is in a fatigue state, the driver is stimulated by sound, light, vibration, etc. to restore the state of consciousness. Within a certain range, traffic accidents caused by driver fatigue are greatly reduced.

The important position of automobile industry in machine vision

As a high-tech industry with a high degree of automation, many advanced automation technologies have been successfully applied to various production processes in the automotive industry. Many parts in automobile manufacturing have been realized unmanned operation, which requires reliable inspection technology to verify the correctness of each assembly and the qualification of the assembly. Machine vision technology has become the first choice for automatic inspection system with its unique technical advantages.

Machine vision, as one of the emerging technologies in the 21st century, has been widely used in various aspects of automobile manufacturing, such as the inspection of the size and appearance quality of automobile parts and the correctness of automatic assembly. In the past, traditional inspection methods consumed a lot of manpower and were easily affected by workers' subjective emotions and their own technical level, which could not guarantee a high pass rate. Many automobile manufacturers have started to try to replace the traditional inspection methods with machine vision inspection, and have achieved good results.

Machine vision system generally consists of light source, image acquisition unit, image information processing unit, image analysis and processing technology software and network communication devices.

The future development trend of machine vision technology

1. With the development of industrialization, the demand for machine vision will rise.

Machine vision in the semiconductor and electronics industry occupies a large space for development, according to our data, the global integrated circuit industry shows signs of recovery; at the same time, the global economic recession in China's integrated circuit industry has gained the market advantage, cost advantage, talent returns, "information technology-driven industrialization" and "new industrialization". The "information-driven industrialization" and "new industrialization" have brought huge development opportunities for the IC industry,automotive consulting services especially the huge market space for high-end products and innovative products. Design links, national strategic areas, 3C application areas and traditional industry application areas will become the key investment areas for the IC industry in the next few years.

In addition, China has become an important demand market for global ICs. According to relevant data, China's semiconductor and electronics market has begun to take shape, such a strong semiconductor industry will need high-quality technology as a backing. At the same time, he requirements for high quality and high integration of products will also become higher and higher. It just so happens that machine vision will help them solve the above problems, so the industry will be the best place for machine vision. At the same time, the demand for machine vision will surge.

2, unified China's open standards is the driving force behind the development of machine learning vision technology

In the future, the quality of machine vision products can not be measured only by a single factor, but should be judged gradually according to the unified international standards. With the gradual opening of China's automation, it will lead to the gradual opening of the technology of its related products. Therefore, it is difficult to promote the development of the whole industry by relying on closed technology. Only by forming a unified and open standard can more manufacturers develop their products on the same platform, which is also the driving force to promote China's machine vision to the international level.

3. Embedded products will replace board products.

For its part, machine vision will rely more and more on PC technology and be more tightly integrated with other control and measurement (e.g. data acquisition). And there is a growing trend that embedded-based products will gradually replace card-based products. The main reason for this is that with the rapid development of computer technology and microelectronics technology, embedded systems are more and more widely used, especially its low-power technology has attracted people's attention. In addition, most embedded operating systems are based on c language, so it is very basic to use c language to develop embedded systems. The advantage of using high-level language is that it can improve the work efficiency, shorten the development cycle, and more importantly, the developed products have high reliability, good maintainability, and easy to be improved and upgraded. Therefore, embedded products will replace board products.

4. Standardized and integrated solutions will also be the way of machine vision.

As the country machine vision is part of automation, without the realization of automation will not be possible machine vision, machine vision hardware and software products are gradually becoming a collaborative production equipment manufacturing management process exists in different stages of education, the core control system, both for the user and the hardware supplier will be the quality of the machine vision culture product quality as a tool for the collection of information data on the network of China's production lines, which requires machine Vision products a lot of research using "standardized processing technology", intuitively speaking, is to gradually reform and open up with the opening up of China's automation, can be at the same time according to the needs of students and users of the analysis of secondary development. Today, the automation business economy is advocating the integration of hardware and software to solve this program, machine vision vendors in the next 5-6 years should not simply provide products to the supplier, but gradually to the integration of these solutions to the system integrator to move forward.

In the next few years, with the development of China's manufacturing industry, the demand for machine vision is gradually increasing, with the increase of machine vision products and technological advances, the application of machine vision in China will change from low-end to high-end. With the intervention of machine vision, automation will develop in the direction of more intelligent and faster. In addition, as the user's needs are diverse, the degree of demand is not the same. Then, personalized solutions and services will become more and more important in the competition, i.e., the use of special customized products to replace standardized products is also the direction of the future development of machine vision. The application of machine vision will further promote the development of intelligent automation.

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