How to "understand" the heartbeat of a watch when walking outdoors, activate exercise mode, and start warming up; Long term desk work, wrist vibration, remind to move around; Getting up in the morning, stretching lazily, displaying sleep status... quietly, smartwatches have become a good helper for users' health management. The smartwatch is lightweight and close fitting, and can be worn 24 hours a day without feeling. It can "understand" information data such as heartbeat and blood flow changes during exercise, sleep, and even bathing, transforming health management from "occasional check ups" to "long-term tracking". How do watches' understand 'heartbeats? Sensors and artificial intelligence algorithms work together in software and hardware to accurately capture weak signals beneath the skin. Inside the Honor Intelligent Sensor Fusion Laboratory in Shenzhen, Guangdong, there is clear movement and stillness: outside, multiple testers wear smart watches and professional medical equipment for exercise, providing physiological data; Inside, researchers compared the electrocardiogram signals and blood oxygen data collected by the two. We need to search for patterns from a large amount of data, constantly adjust model strategies, and adapt to various complex scenarios in life. ”Liu Zexin, a senior algorithm engineer in the laboratory, explained that different exercise states, skin color, body hair, and even wearing angles can affect monitoring accuracy. Sensors require extremely high sensitivity and anti-interference ability to accurately capture valuable signals amidst massive "noise". Taking the outdoor burst prevention screening function as an example, various high-performance sensors collaborate to collect signals, which are quantified by AI algorithms into heart rate curves, blood oxygen values, and other data to predict the likelihood of cardiac arrest. It's like assigning an AI doctor to the heart. ”Xiao Peisong, General Manager of the Audio Wearable Product Line at Honor Terminal Co., Ltd., said, "The watch continuously monitors the 'braking ability' of the heart and captures changes in heart rhythm. Once abnormal fluctuations are detected, early warnings can be issued." The R&D team collaborated with the Fuwai Hospital of the Chinese Academy of Medical Sciences to develop an AI model, and a team of experienced cardiac specialists also participated deeply. Many smart wearable devices have passed the second-class medical device certification, but in Xiao Peisong's view, smart wearable devices are not meant to replace professional medical devices, but to become the "gatekeepers" of health. Let more functional iterations and technologically advanced products enter daily life, help discover and intervene in potential health problems, and gradually improve the public's health management level, "said Xiao Peisong. How to "install" glasses on a large screen? Recently, Li Hongwei, founder and CEO of Thunderbird Innovation Technology (Shenzhen) Co., Ltd., was on a business trip abroad and did not bring a translator. Instead, he brought a pair of AR glasses. From airport customs clearance to restaurant ordering, to business meetings, the translation of text and dialogue is displayed in real-time. This pair of AR glasses weighs 76 grams, which is heavier than ordinary glasses, and has more than 200 components such as chips, sensors, batteries, cameras, speakers, etc. It's like having an 'external brain' to help you solve various problems, "said Li Hongwei. Lightly touch the legs of the mirror, and a 43 inch virtual high-definition screen appears three to four meters in front of you. No matter how we change our actions, the 'aerial screen' follows us like a shadow. How can these small glasses fit this big screen? On both sides of the mirror frame, there are two green bean sized light engines that function as miniature projectors. The glass lens may appear smooth, but in reality it is "uneven". After the light is emitted from the light engine, it needs to undergo hundreds of refractions, diffractions, etc. on the lens to form the most suitable visual effect in front of the eyes. In recent years, technology giants and startups have successively launched AR glasses and AI glasses with real-time translation, photography, navigation and other functions, and related products have even dominated the hot selling list of smart wearable devices during promotional activities. According to relevant institutions, the global smart glasses market is expected to ship over 12 million pairs this year. But doubts persist: does the market really need smart glasses? In the view of Shen Xiaolin, the PR manager of Thunderbird Innovation, the exploration of application scenarios is the biggest challenge for the development of smart glasses. Taking Thunderbird's innovative smart glasses with a focus on camera functionality as an example, when the design proposal was proposed a few years ago, there were also opposing voices within the company. However, after several rounds of market verification, the "what you see is what you get" camera function has been deeply loved by users. Meanwhile, as artificial intelligence models accelerate their implementation, smart glasses have become an important AI hardware carrier. The application scenarios of smart glasses are becoming increasingly diverse, such as "pay as soon as you look", "help elderly people read newspapers", "ask voice questions while walking". Thunderbird Innovation is not satisfied with making mobile phone accessories or "external screens". We need to gradually 'fit' our phones and televisions into our glasses, "said Li Hongwei. As an innovative enterprise, we must take small steps and grow quickly. Challenges still exist: there are still shortcomings in supply chain adaptation, and chips and other components are mainly designed for mobile phones and general devices, lacking targeted optimization; Key technologies still require iterative optimization. This requires collaborative innovation between the upstream and downstream of the industrial chain, and we are also conducting deep cooperation with software and hardware enterprises. "Li Hongwei said that the next step is to reduce costs through large-scale production, expand the consumer market, and then feed back the industrial chain, forming a virtuous cycle. (New Society)