TAIFENG

Siege of "smart manufacturing", a rising star of machine vision


Machine vision is one of the key points to realize Industry 4.0.

Beginning in the 1760s, the Industrial Revolution had an important impact on the course of human history.

"Industry 1.0" is machinery manufacturing, that is, the era of manufacturing that realizes the mechanization of factories through the introduction of machinery and equipment. Entering "Industry 2.0" in the 1940s, the era of electrical and automation created an efficient model for mass production of products. The informatization that started in the 1970s and continues to this day is "Industry 3.0", which stores information through digital technology to facilitate the management of factory decision makers. Today's "Industry 4.0" era is the era of intelligent manufacturing, which puts forward higher requirements for productivity, and the driving force behind it is most likely the booming artificial intelligence technology.

In the first three industrial revolutions, China failed to catch up. In the 18th century, China was in a period of feudal isolation; in the 1940s, China was in turmoil; in the 1970s, China was just starting to develop. Therefore, for the current China, it is very important to seize the opportunities of the intelligent manufacturing era of "Industry 4.0", with the national security, the increase in talent training, and the abundant resources.

In the past fifteen years, the scale of China's manufacturing industry has grown wildly at a rate of nearly 30 times. By 2020, China's industrial added value will reach 31.3 trillion yuan, ranking the world's largest manufacturing country for 11 consecutive years, accounting for 30% of the global market share. .

In the "Made in China 2025" plan proposed in 2015, industrial computer vision applications occupy an important position.

In the intelligent world, machines can replace manpower, improve safety and efficiency, and bring disruptive changes to the entire industry with powerful data collection and analysis capabilities.

The key to realizing all this is to first light up a pair of "wisdom eyes" for the machine.

There is an old saying in the AI ​​industry: those who have vision win the world.

From face recognition to industrial intelligence, the implementation of computer vision has now crossed the semiconductor, automobile, aviation, new energy, precision optics and other industries, such as lens sorting, bearing detection, special barcode design and identification, polarized bending film, mold detection, AVI detection, etc. Taking chip inspection as an example, computer vision algorithms based on deep learning can complete automatic clustering analysis of 100 million-level crystal structures: the detection rate exceeds 99.99%, the processing efficiency of a single process is increased by 96%, and the processing efficiency of AI automatic full inspection is improved. 90%.

The proportion of traditional manufacturing in the national economy is the future market capacity of intelligent manufacturing. According to data from the National Bureau of Statistics, in 2019 and 2020, the scale of China's industrial added value exceeded 31 trillion. A 1-2% increase in efficiency in the industrial sector means hundreds of billions of economic value added.

The complex machine vision market is a market that is big enough and far enough away, and it is also a market that requires many players to work together, give full play to their strengths, jointly increase demand and promote the level.

In the vast ocean of intelligent manufacturing, a group of people from all walks of life have emerged with the process of China's industrialization.

Among this group of people, there are traditional visual manufacturers who have worked hard all the way through the curve of time and become strong and strong; Hai Dayu, who entered the security market and took the lead in breaking through the defense lines of international giants; The AI ​​Four Little Dragons are half of the computer vision market.

At the same time, a large number of cutting-edge AI companies are also chasing after each other along the visual road that their predecessors have cultivated, making steady progress and progressing step by step.

Relying on their own technical strength, they cut into various sub-fields and conquered the city inch by inch, and they have the potential to seize the trend of the intelligent era.