"How to feel the intelligence level of a car? Sit in the cab and feel it." "How to feel the intelligence level of the cab? Calculate the type and number of sensors in it." These two sentences reflect consumers' perception of the car. The most intuitive feeling of the intelligentization process also reflects the important role that sensors play in the intelligentization of automobiles. According to the editor of Shenzhen Lianhe Circuit Board, in recent years, the intelligent process of automobiles has continued to advance, and the cockpit, as a representative of them, has achieved rapid development. Sensors have become one of the key links in the development of smart cockpits and even the entire smart car industry.

　　In recent years, with the accelerated development of intelligence, electrification, and networking, automobiles are transforming from a single means of transportation to a third space integrating leisure, entertainment, and office functions. The popularity of smart cockpits in new car models has been accelerating in recent years. The central control large screen/connected screen, intelligent voice, OTA upgrade and other functions have become the most installed and common parts, and have gradually become an important criterion for judging whether the car is equipped with a smart cockpit. In addition, as technology upgrades and automakers seek to differentiate, more new functions have been incorporated into the smart cockpit.

　　According to the circuit board editor, the driver monitoring system (DMS) is one of the most concerned driving assistance functions at present. According to Jerry Chang, technical marketing manager of STMicroelectronics Asia Pacific Imaging Products Department, the DMS system can acquire images through cameras, and use image recognition technology and algorithm analysis capabilities to detect drivers' driving behavior and physiological status, including head tracking, Eye tracking, driver recognition, fatigue driving detection, gaze tracking/distraction reminder, etc. Studies have shown that more than 60% of traffic accidents are caused by distracted or fatigued drivers, of which rear-end collisions account for as high as 94%. The image sensor is the core component of the DMS system. The continuous improvement of image sensor technology also brings higher safety and scene applicability to DMS systems and driving.

　　Human-computer interaction is also a focus of the current development of smart cockpits. As the voice interaction technology matures, the cockpit voice interaction has now achieved dual-tone interaction, which can identify the voice commands of the driver and the passengers. In the future, in-cabin interaction and object perception solutions such as gesture interaction, line-of-sight interaction, and head motion interaction will begin to receive more and more attention.

　　Steering wheel pressure sensing, passenger identification (such as identifying child seat usage), temperature, humidity, gas sensing, etc., will be more and more integrated into the car cockpit. Specifically, the currently mature in-vehicle environment perception content mainly focuses on speech recognition and control, driver fatigue monitoring, automatic air conditioning, etc., such as occupant health sign monitoring, children's emotional monitoring, in-vehicle biological monitoring, etc. to give users warmth The functional content of caring will be the focus of the future.

　　With the expansion of the automotive sensor market, more and more companies are showing some new technological trends while cutting into the automotive sensor track. The first is that more and more advanced sensors from semiconductor manufacturing processes such as MEMS will replace traditional types of sensors. Zhu Jiaqi believes that MEMS and advanced sensors have low cost, good reproducibility, and high yield, and have a great alternative to traditional types of sensors. Of course, Zhu Jiaqi also pointed out that MEMS and advanced sensors will not completely replace traditional types of sensors, and silicon-based products still have certain limitations. For example, sensors that measure exhaust emissions need to support a high temperature environment of 800°C, which is why silicon-based products are required. features that are not available.

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