From the "Internet of Things" that was most mentioned in 2017 to the "artificial intelligence" that was hot at the beginning of 2018, it seems that the ICT industry is generally optimistic about the development of artificial intelligence in 2018. In terms of market capital, according to the statistics of the venture capital big data platform-Waizhun, the artificial capital (ArTIficial Intelligence, hereinafter referred to as AI) segment of the total capital investment market in China and 2016 is a computer. Visual, deep learning, autonomous driving, and natural language processing demonstrate that visual and linguistic AI interactions are valued by capital.
Figure 1: Venture Capital Big Data Platform - Analysis of financing information in the AI ​​segment of the Chinese market
In a sense, artificial intelligence can be said to be intelligent interaction between machines and people (such as service robots), machines and environments (such as automatic driving). The change of interaction mode is one of the indicators to measure the development process of artificial intelligence. Among them, in the scenario where the interaction between the machine and the human is low, the interaction between the human and the car in the car cockpit is particularly obvious, from the push-button interaction of the traditional mechanical instrument to the most popular virtual instrument digital screen touch interaction. And then developed into voice interaction, gestures and facial recognition. According to statistics, the global automotive instrument market in 2016 was about 7.7 billion US dollars, up 9% from 2015. It is estimated that by 2020, the automotive instrument market will reach 9.5 billion US dollars, and there is still room for market upside. From the time axis, the changes in these interactions have become more and more compact from the time of emergence to market maturity, such as the transition from mechanical instrumentation to virtual instrumentation, and after decades of virtual instrumentation, The development of interactive modes such as voice, gestures and face has begun to take shape in just a few years; it can be said that the touch interaction of virtual instruments is still in the market upswing period, and the following several interaction methods have suddenly emerged. The industry is amazed.
Fujitsu (FUJITSU, 2018 Munich Shanghai Electronics Show, E4 Hall 4318), which has been mass-produced by mainstream European OEMs such as BMW, is the leader among the virtual instrument touch interaction. . The 3D virtual instrumentation solution built by Fujitsu Triton Cluster SDK, the main chip Triton-C is the Fujitsu agent product line - Socionext's all-virtual instrument-specific graphics processor, equipped with a powerful 2D engine unique to the world. The solution features up to 8 layers of multi-layer display and 6 video inputs, 3 independent outputs, and graphical security features designed for instrumentation. In addition, the virtual instrument of touch interaction is further becoming the hub of the cockpit function and will continue to the next various interaction modes. For example, Tesla, which has been labeled as “Transformerâ€, has eliminated the dashboard and central control buttons in the Model 3 series, leaving only a 15-inch touch screen and related to ADAS. In the interface summary, the digitization of human-car interaction has reached an unprecedented level, which is already an area that traditional human-car interaction is difficult to reach.
Figure 2: Fujitsu teamed up with Socionext to launch 3D full virtual instrumentation solution
In terms of voice interaction, the statistics of the venture capital big data platform-Waizhun show that the number of “natural language processing†investment cases in the Chinese market in 2016 exceeded 100, which is second only to “computer visionâ€, which seems to be 2017. The blowout of the speech recognition application has laid the groundwork; the entire chain of software, algorithms, sensors, chips, products and other industries related to speech recognition has also confirmed this. Alexa, Google Assistant, Cortana, familiar smart voice assistants need not mention more, sensors such as Infineon, Bosch (BOSCH, 2018 Munich Shanghai Electronics Show, E4 Hall 4400), Amys (ams, 2018 Munich) Shanghai Electronics Show, E4 Hall 4512)) and other large manufacturers have launched high-performance MEMS microphone products for the creation of far-field voice applications. And mobile processor chip giant Qualcomm recently won the Jaguar Land Rover car platform's Snapdragon 820A chip orders, but also launched two Qualcomm Home Hub platforms supporting Google Android Things, based on Qualcomm SDA624 and SDA212 System-on-a-chip (SoC). At this point, Qualcomm's voice recognition and interactive layout can be fully developed. Its Snapdragon series platform can support almost all mainstream voice service systems, including Alibaba AI voice service, Amazon Alexa, Baidu DuerOS platform, Google Assistant and Microsoft Cortana Virtual Assistant. Wait, and the voice chip war with MediaTek has become thicker.
Relative to the rapid expansion of the speech recognition market, the market application of gesture recognition is relatively slow, but there are still many big companies in the market, such as Bosch (BOSCH, 2018 Munich Shanghai Electronics Show, E4 Hall 4400) subsidiary Bosch Sensortec in 2017 Munich Shanghai During the Electronics Show, the new BML050 interactive laser projection micro-scanner was introduced. With advanced time-of-flight technology (ToF), advanced sensing applications such as ranging, 3D scanning and volley gesture control can be realized. With advanced speckle suppression and precise control of scanning mirrors and laser diodes, the Bosch Sensortec solution delivers excellent projection quality with a local laser color space that exceeds industry standards including Adobe® RGB and is a relevant application area. A new generation of industry benchmarks. As the world's largest manufacturer of CMOS image sensors, Sony (SONY, 2018 Automotive Technology Day sponsor), after completing the acquisition of Belgian company SoftKineTIc SA, cooperated with Melexis to develop automotive-grade 3D gesture recognition image sensor. In the experience of automotive sensors, further enhance the advancement of ToF sensor technology. SONY's gesture recognition technology is called DepthSense® CARlib. It can be used in cars to recognize the driver's gestures and achieve corresponding operations on the screen. The driver does not need to actually operate the car display, which improves driving safety. .
Figure 3: SONY technology blessing, the finger can be swung to view the surrounding environment of the parking location
When it comes to face recognition, it is inevitable to mention the iPhone X phone. The launch of the Face ID on the phone has triggered consumer enthusiasm for 3D facial recognition, and this is the first image based on Imager produced by STMicroelectronics (2018 Munich Shanghai Electronics Show, E4 Hall 4104). -Infrared camera image sensor for SOI substrates and color/ambient light sensor for Amers Semiconductor (ams, 2018 Munich Shanghai Electronics Show, E4 Hall 4512). Thanks to the acquisition of Heptagon and the supply chain to the iPhone X, ams achieved a significant increase in revenue in the third quarter of 2017, a 79% increase in total revenue compared to the same period in 2016; and announced at the end of 2017. Yu Optics has teamed up to develop imaging solutions for 3D sensing applications, further expanding the emerging opportunities for 3D sensing imaging systems in the automotive sector beyond mobile devices and smartphones.
It is true that the industry generally believes that face recognition will be the first to increase shipments in the smartphone industry in 2018. However, facial recognition has the same market potential in automotive cockpit applications. This is because facial recognition not only has the identity authentication function like fingerprint recognition, but also provides a certain degree of driving process security. For example, facial recognition technology can detect whether the driver is in fatigue driving or inattention. It is reported that the FZI Information Technology Research Center, a research institute affiliated with the Karlsruhe Institute of Technology in Germany, is using facial recognition technology to build a driver condition monitoring system, and monitors the driver during driving through embedded and sensor technology. Vital sign data.
It is worth mentioning that according to CB Insights's article, Google's latest research patent is using optical sensors to detect faces and skins, and can find abnormalities in vital signs such as blood flow rate, and then determine the health status of users, such as whether they face The risk of cardiovascular disease, etc. This may be another breakthrough in facial recognition!
As can be seen from the above, the car cockpit interaction mode is transitioning from digital to intelligent. In the edge computing application scenario where AI computing power demand is much lower than autopilot, relying on breakthroughs in technologies such as sensors and processor chips, it is expected to achieve more advanced AI applications. It is not difficult to imagine that human-car interaction, or human-computer interaction, eventually leads to an organic combination of multiple interactions. At this time, high-performance, high-reliability sensor products and processor chips, as the core of the edge AI, will also usher in a new round of shipment opportunities.
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