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Heavy! Summary and Interpretation of Smart Sensor Industry Policies in China and 31 Provinces and Cities in 2023 (Full)

Major listed companies in the industry:Bichuang Technology, Minxin Co., Ltd., Sifang Optoelectronics, Senba Sensing, AVIC Electric Testing, Riying Electronics, Silanwei, etc.

Core data of this article:Relevant national policies for smart sensor industry; Relevant policies of smart sensor industry in various provinces and cities

1, the policy process map

In recent years, emerging industries such as the Internet of Things and the mobile Internet have developed rapidly. As the basic core components of the next generation information technology industry, such as the Internet of Things, artificial intelligence and industrial Internet, smart sensors are in a rapid development stage. The state has issued a series of policies to support the development of smart sensors, with the policy focus on accelerating the breakthrough and iterative application of basic theories, basic algorithms and equipment materials.

2. Summary and interpretation of national policies

-Summary of national smart sensor industry policies

-Interpretation of the development direction of smart sensor industry at the national level

In March, 2021, the 14th Five-Year Plan for National Economic and Social Development in People’s Republic of China (PRC) and the Outline of Long-term Goals in 2035 was officially released, which proposed to strengthen the research and development of key materials such as integrated circuit design tools, key equipment and high-purity targets, make breakthroughs in advanced integrated circuit technology and characteristic processes such as insulated gate bipolar transistor (IGBT) and micro-electromechanical system (MEMS), upgrade advanced storage technology, and develop wide-band semiconductors such as silicon carbide and gallium nitride. In policy, the state supports the construction of a complete industrial chain of smart sensors, including key equipment and key materials in the upstream, encourages miniaturization of MEMS, and encourages the application of smart sensors in downstream industries, automobiles, consumer electronics, homes and other fields. The release of the “Fourteenth Five-Year Plan” policy is conducive to promoting the construction of related key projects and technological breakthroughs, promoting the collaborative innovation of industrial Industry-University-Research, and deepening industrial chain cooperation.

3. Summary and interpretation of policies at the provincial and municipal levels

—— Summary of smart sensor industry policies in 31 provinces and cities of China.

-31 provinces and cities intelligent sensor industry development goal interpretation

During the “Fourteenth Five-Year Plan” period, some provinces and cities put forward clear development goals for the smart sensor industry. For example, Shandong Province strives to achieve a revenue of 30 billion yuan from the main business of smart sensors by 2023. Seize the period of strategic opportunities in which the Internet of Things is developing rapidly, the smart sensor market is exploding and growing, and technological innovation is highly active, and make a number of leading enterprises in smart sensor design, manufacturing, packaging and testing and system integration bigger and stronger, and drive the formation of a 100 billion-level industrial scale. The details are as follows:

For more research and analysis of this industry, please refer to Prospective Industry Research Institute.China Smart Sensor Industry Market Prospect and Investment Strategic Planning Analysis ReportAt the same time, Forward-looking Industry Research Institute also provides industrial big data, industrial research, industrial planning, park planning, industrial investment promotion, industrial map, industrial chain consultation, technical consultation, IPO fundraising feasibility study, IPO business and technology writing, IPO working paper consultation and other solutions.

The promotion of artificial intelligence and virtual reality technology ｜ Data Hall

In today’s rapidly developing fields of artificial intelligence and virtual reality, the importance of gesture recognition technology has attracted more and more attention. Gesture recognition technology can transform human body language into digital signals, so that computers can better understand human intentions. However, in order to train machine learning algorithms and deep learning models, a large number of gesture data sets are essential.

Gesture action data set is a set of data obtained by human performing actions and capturing action data through special equipment. These data usually contain joint angles, bone positions and motion sequences. Gesture action data set is a key resource for training and verifying gesture recognition algorithms and models.

In the fields of artificial intelligence and virtual reality, gesture recognition technology has been widely used in gesture control, gesture interaction, sign language translation and other fields. For example, in the field of virtual reality, gesture recognition technology can realize a natural and intuitive user interaction experience by tracking the user’s hand movements. In the field of human-computer interaction, gesture recognition technology can control computers and intelligent devices by analyzing gestures. In addition, gesture recognition technology is also widely used in health care fields, such as rehabilitation training and biomedical engineering.

Data Hall has developed several sets of high-quality training data sets for smart home scenes, which can be applied to tasks such as voice interaction, voice control, gesture control and abnormal behavior detection. It has been favored by many companies. The data includes 3D face recognition data, 200 people wake up the phone to collect voice data, 559,460 segments of 50 kinds of dynamic gesture recognition data, 8,643 pieces of 14 kinds of abnormal image video data, etc., which makes smart home products better understand the owner’s needs and man-machine communication more intelligent.

Now, more and more researchers and developers need to access large-scale gesture data sets to train their algorithms and models. Fortunately, many data sets have been published. For example, UCI machine learning library contains several gesture action data sets, including hand movement data set, action recognition data set and so on. In addition, Kinect dataset and challenger gesture challenge dataset are also important resources in the field of gesture recognition. These data sets not only help researchers and developers to research and develop gesture recognition algorithms, but also help enterprises and organizations to develop applications in virtual reality, game development and other fields.
If you need to get more gesture data sets, you can visit datatang.com. Datatang is a company dedicated to providing data for researchers, developers and enterprises.