[Introduction]: What is the AIOT that is often mentioned recently? This is the innovative model of the current hottest artificial intelligence (AI) and Internet of Things (IoT) convergence. Today, the “money†of the new business opportunities in the AIOT innovation model is still quite a lot.
With the advancement of machine vision, deep learning and various sensing and recognition software and hardware technologies, the IoT system gradually tends to human emotions and immediate reactions, and promotes the improvement of intelligent manufacturing related technologies and product services, as well as opening more potential market applications. Business.
IEI has cooperated with Yole Development, a well-known French MEMS & Sensor forward-looking technology research consultancy, and held the [AIoT-driven intelligent sensing and identification application business opportunity seminar] on 5/22, with a view to complete the macro and comprehensive analysis. What are the business opportunities for the smart sensor recognition market driven by the AIOT trend? How to carefully select the technology suitable for future industrial development and the key to finding potential applications?
ITRI ​​industry analyst Luo Zonghui delved into the key technologies of image recognition. He said that in the key components of image recognition, including cameras, image processors and sensors, it is estimated that in 2018. The demand for CIS will reach 4 to 5 billion, and the quality of the original data (such as sensitivity area, constituent factors, pixels, frame rate, energy consumption, etc.) and the correctness and efficiency of the analysis (computer calculations, algorithms, AI, etc.) will become the key to competing with each manufacturer. After all, users care about the speed, resolution, accuracy and function, such as the dynamic range of the effect of clear and slow.
As for the two major values ​​brought by image analysis technology, such as vertical application in mobile devices, automotive applications, security monitoring, industrial applications, biomedicine, logistics and robotics, and solving problems, mainly defect detection, image segmentation / Edge detection, dynamic analysis, position or direction analysis, etc., where image inspection defects are common in industrial applications and biomedical fields.
From the observations of various industries, real-time image analysis has been popularized in various products. Luo Zonghui proposed three characteristics of video recognition technology development: 1. Professionalism: Accuracy and immediacy go one step further: 2. Popularity: New application Continuously created: 3. Security: the pull of privacy and business applications.
In view of the trend of emerging human-machine interface (HMI) sensing and identifying business opportunities, Xie Mengxuan, senior industrial analyst of IEK, ITRI, said that the human-machine interface has been controlled by simple devices into virtual and real integration/digital avatar innovative application types, and the future five sensing functions. Will accelerate the introduction of more new state wearable devices and smart machines to expand more application opportunities.
Xie Mengxuan uses the wearable mind reading of MIT Media Lab as an example to reveal the future appearance of the human-machine interface, and hope to achieve the control of “heart (brain)â€, which must be based on five senses (visual, auditory). On the basis of force, touch, and smell, the technology of bioelectronics (biomedical detection) and biometrics will be gradually integrated, and the innovative applications of the emerging human-machine interface sensing and recognition technologies in the next stage will be fully activated, for example. Face / iris / eye pattern / retina recognition, voice / ear canal recognition, fingerprint / gesture recognition, vein recognition, keyboard tapping habit recognition, gait recognition, etc. He believes that the future will not tend to a specific category of biometric identification, but multiple identification, and can play a modest application in different situations.
The three major fingerprint recognition technologies of capacitance, optics and ultrasonic are all good at the field. Among them, the capacitive cost/power consumption is the lowest, the optical penetration ability is the strongest, the ultrasonic anti-interference effect is the best, and the optical and ultrasonic fingerprint recognition technology has been Begin to integrate physiological monitoring functions, such as heart rate, blood flow and other items. Because dry skin, finger pressure, skin stains, sweat and other factors will affect the fingerprint recognition rate, and then drive emerging technologies such as OLED micro-display fingerprint recognition technology, curved fingerprint recognition display, live fingerprint recognition, non-contact 3D fingerprint, etc. Next generation fingerprint recognition technology is poised for growth.
In addition to fingerprint recognition, Luo Zonghui said that face recognition will be the focus of the next vendor integration. For example, the access control system is moving toward integrated face recognition. Taking the traditional mechanical access control factory Klacci as an example, it has developed towards cross-cutting and integrates many resources. Communication Technology.
Under the continuous improvement of perception/AI technology, Xie Mengzhen believes that biometrics combined with behavior recognition and AI/deep learning technology advancement will accelerate the human-machine interface into a new era of human-computer collaborative work and human-machine emotional communication applications, and drive more software. Technological innovation of the algorithm. The influence of future research and development units and new startups with technical capabilities will be enhanced, attracting more international large-scale cooperation, acquisition or investment strategy layout to maintain the leading edge in the existing industry.
In addition, Jerome Mouly, Technology and Market Analyst, Life Sciences & Healthcare, Yole Development Consulting, conducted an in-depth discussion on the topic of "Biomedical Sensor Mobile Care Application Trends and Market Opportunity Analysis" to analyze home medical materials, wear health management, and personalized diagnostics. Need to focus on the development of various Bio Sensor technology applications. He said that medical care will change with social evolution and new technologies. Low-power, miniaturized bioMEMS and sensors have been developed from other markets, but sensor performance (such as measurement, accuracy) is key to integrating FDA-approved medical devices. Most of today's technology blocks are available, and the industry chain is becoming more mature. Consumer health care is the key to developing specific medical sensors to reduce the acceptable cost of sensors.
The AI+IoT model is bound to be the future model. Many potential market opportunities are waiting for the enterprise to develop. Now there is an opportunity. The China IOT Conference will bring together the major companies of AI and IOT. What layout they will have, wait and see!
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