Under the trend of intelligent manufacturing development, sensors are also undergoing changes. At present, sensors are undergoing a process from a single material to a composite material, from a simple structure to a system structure, and the original physical quantity sensing function is also undergoing intelligent transformation.
According to relevant data, the growth of MEMS sensors is mainly in the field of automotive electronics. And this growth is precisely related to the positive and rapid development of automotive electronics. The global automotive electronics market will continue to grow in size over the next five years, and by 2023, this size will exceed $350 billion.
In terms of artificial intelligence interaction, traditional sensors such as ECM microphones are relatively cumbersome and not the best choice for applications that require array architecture in intelligent voice assistants.
Secondly, in intelligent interaction, traditional single microphones are gradually being replaced by multiple microphone arrays, which has also led to a significant increase in the use of MEMS microphones.
As a highly integrated sensor product, the difficulty in manufacturing MEMS microphones mainly focuses on encapsulating various heterogeneous micromachines, microelectronic components, and micro energy sources into a single microsystem. Its manufacturing technology is similar to that of IC wafer manufacturing, but does not require advanced processes.
At present, in order to adapt to new storage, computing, and communication functions, shrinking to nanoscale internal components and integrating more transistors and memories, namely packaging methods and the introduction of new materials, naturally become the future development trend of MEMS microphones.
Image sensor is an electronic device that converts optical images into electronic signals, mainly applied to two technologies: charge coupled devices and complementary metal oxide semiconductors. CCD is a linear sensor, and its output is directly related to the number of photons received. CIS is a relatively new parallel readout technology.
When it comes to fingerprint recognition, it's hard to avoid smartphones. According to statistics, the fingerprint sensor market has grown from almost zero market size in 2013 to $2.55 billion in 2016, with 88% of its products meeting mobile applications. It is no exaggeration to say that the introduction of fingerprint unlocking technology into mobile phones has driven the rapid development of the entire fingerprint sensor market.
Fingerprint sensors include four types of technology: capacitive, optical, thermal, and ultrasonic sensors. Among them, capacitive fingerprint sensors belong to traditional technology, which is currently widely used on the market. With the development of mobile phone technology and technological innovation, the market for off screen optical and ultrasonic fingerprint sensors is gradually expanding.
Higher integration, intelligence, and smaller size are inevitable trends in the development of sensors in the future, which means they will meet the application requirements of more industries, fields, and scenarios, and installation will also be more convenient. At the same time, in order to adapt to the development of intelligent manufacturing, intelligence has also become an important direction for the development of sensors. Intelligentization refers to the redefinition of the "perception" ability of traditional sensors, and the empowerment of "analysis" and "issuing instructions"。