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Under the explosive growth, how does industrial AI quality inspection cope with the fragmented pattern?

Recently, IDC released the “China AI-enabled Industrial Quality Inspection Solutions market Analysis, 2022″ report, proposing that industrial AI quality inspection has moved from pilot applications in previous years to large-scale replication and promotion, and the overall market is expected to reach 9.58 in 2025. billion US dollars (about 6.2 billion yuan).

Industrial AI quality inspection has a wide range of applications, and new application scenarios continue to emerge, attracting a large number of manufacturers. Among them, Baidu, Tencent, Huawei, Lenovo Group and other technology giants have become important players in the industry by virtue of their long-term accumulation in the field of digital economy. In particular, Lenovo Group, based on its own experience in digital and intelligent transformation, provides intelligent solutions through the “internal and externalization” approach, from technology development to application, to explore a high-quality and efficient development path for the industry.

  The outbreak of industrial AI quality inspection, the compound annual growth rate will reach 28.5%

As an extremely important part of industrial production, quality inspection has always been faced with problems such as low accuracy and weak consistency due to excessive reliance on manual labor. At the same time, since the “14th Five-Year Plan” has made artificial intelligence a key topic, the importance of AI technology in driving industrial transformation has become increasingly prominent.

In this context, domestic technology companies have been exploring the application of AI technology in industrial quality inspection.

As a leading enterprise in China’s digital economy, as early as 2019, Lenovo Group’s Wuhan Industrial Base has realized the complete automation of circuit board quality inspection. The monitoring of circuit boards is completed by visual sensors and artificial intelligence, with high efficiency and excellent quality.

Tech giants such as Baidu, Tencent, and Huawei have also deployed in the field of industrial AI quality inspection for many years, and have taken the lead. According to IDC data, several companies occupy 7% to 11% of the industry’s market share.

The remarkable effect of industrial AI quality inspection on improving the quality and efficiency of industrial production can be seen from the application project of the LCD screen optical inspection solution provided by Lenovo Group for TPV Technology Group. In the in-depth cooperation with TPV Technology, Lenovo Group helped TPV to achieve 30+ types of screen defect detection through the application of AI innovation technology, ultimately saving labor costs by 50%, and improving efficiency and accuracy by 30%.

Because of its significant quality improvement and synergy effect, industrial AI quality inspection has developed rapidly. IDC pointed out that up to now, industrial AI quality inspection has moved from the pilot application in previous years to large-scale replication and promotion. Four industries, including communications and electronics manufacturing, automobiles and parts, consumer goods and raw materials, have achieved relatively mature applications.

At the same time, new application scenarios are constantly emerging. For example, Baidu Smart Cloud uses computer vision and artificial intelligence technology to build a bird’s nest intelligent picking and impurity inspection system, which improves the quality inspection accuracy of bird’s nest impurity sorting, reduces labor costs, and improves quality inspection production efficiency.

Projects such as tableware packaging identification completed by Xinhuaxin, potato grading and sorting completed by Xinrun Fulian, and composite material testing completed by Innovation Qizhi have also explored more new application scenarios for industrial AI quality inspection.

In the long run, IDC predicts that, despite the impact of the epidemic and the downturn in some downstream industries, by 2025, the overall market size of China’s industrial AI quality inspection will still reach 958 million US dollars (about 6.2 billion yuan), and the CAGR from 2021 to 2025 will reach 958 million US dollars. As high as 28.5%, showing an explosive growth trend.

  Internalization and externalization, technology empowers a new era of intelligent creation

At present, there are many companies participating in industrial AI quality inspection, including cloud service providers, AI quality inspection innovation companies, machine vision software companies, industrial internet platform service providers, machine vision inspection equipment providers, comprehensive AI companies, industrial control automation companies, and communication operators. In increasing investment to cut into the market.

With the influx of a large number of manufacturers, the overall competition for industrial AI quality inspection is fierce, showing a fragmented pattern. IDC said that in order to better cope with the challenges of fragmented scenarios, standardization, lightweighting and value-added have become the development directions of manufacturers’ products; focusing on underlying platform products or focusing on subdivided industries and fields, and strengthening technological innovation, will become manufacturers to follow the direction of industrial development. , a common strategy for building unique advantages.

Taking the aforementioned Lenovo Group’s assistance in the digital transformation of TPV’s screen quality inspection as an example, the conventional machine vision inspection solution needs to distinguish various types of screen defects, and the algorithm applicability, algorithm accuracy, detection takt, equipment computing power and stability are difficult. Meet the production line requirements. In this regard, Lenovo Group has pioneered the LCD static/dynamic defect detection solution in the industry, which can adapt to the shooting settings of different manufacturers’ sizes. The solution integrates traditional comparison algorithms and network deep learning, covers the identification of multiple screen types and defect types, and can accurately distinguish as many as 30 types of screen defects, thereby providing accurate and fast inspection results, maximizing unified output. Goods quality. In addition, the solution satisfies the real-time linkage of the equipment required for testing, can realize 7X24 24/7 operation, and Display all-round data quickly and intuitively through the visualization platform, providing reference data for TPV to further optimize quality control and realize industry A milestone breakthrough.

As a typical case of technological innovation in the industrial AI quality inspection industry, this solution and application of Lenovo Group has successively won the 2021 “Intelligent Manufacturing Cornerstone” Excellent Case, “IoT Star – 2021 China IoT Best Smart Industrial Application Solution Award” and many other awards.

It is worth noting that the LCD screen optical inspection solution provided by Lenovo Group for TPV Technology has been deployed in Shenzhen, Wuhan, Anhui and other factories before being applied to TPV Technology’s screen defect monitoring, which can be called “internal and externalization”. A vivid portrayal of the practice of digital and intelligent empowerment in the industry.

As a global high-tech manufacturing enterprise, Lenovo Group has focused on the industrial field for many years. In the process of its own transformation and helping corporate customers to realize intelligent transformation, Lenovo Group has been striving to build unique technology and service advantages. As the core, it has developed advanced industrial intelligent core platform products including big data platform, industrial Internet of things platform, enterprise-level artificial intelligence platform, and formed an intelligent technology and management system covering the whole value chain of “research, production, supply, sales and service”. To reduce costs, improve quality and increase efficiency for the manufacturing industry, and better meet the personalized and customized needs of customers. In this process, there are countless products, technologies and solutions of this kind of “internalization and externalization”. On the one hand, the company’s own intelligent manufacturing level has continued to improve, so that the Lenovo (Tianjin) Intelligent Innovation Service Industrial Park, which has recently been put into production, has reached the highest level of intelligent manufacturing in the ICT industry; on the other hand, it has also made its digital and intelligent transformation. The expansion of the service market is even more powerful, and it has successfully covered more than a dozen industries such as government, manufacturing, finance, energy, new media, etc., showing a strong ability to empower the real economy.

The complexity and sophistication of digitalization in the manufacturing industry requires technology companies with full-scale technical solutions and years of practical experience to provide solutions. IDC believes that with the gradual differentiation of the market and the improvement of application maturity, potential competition will lead to changes in the vendor landscape. Some vendors will expand their advantages and new vendors will gradually join in. Tech giants such as Lenovo Group, which are deeply engaged in technological innovation and have rich experience in industrial application, are not only expected to continue to lead the development of the industrial AI quality inspection industry, but will also further strengthen the digital and intelligent transformation of various industries through continuous in-depth cultivation in this segment. empowering strength.

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