With the help of network and cloud.
The combination of artificial intelligence and wearable devices can be divided into two main categories, one is with the help of the network and the cloud, wearable devices to monitor a variety of human body and environmental data, uploaded to the cloud through the network, analyzed by the AI chip in the cloud, and sent back the corresponding data and instructions. The other category is the artificial intelligence chip integrated in the wearable device processor, so that you can not rely on the network and the cloud, directly in the wearable device to complete the collection and analysis of information to produce results. The research results of the University of Cambridge and the "Huangshan 1" chip correspond to these two types of artificial intelligence and wearable devices. On the one hand, AI wearable devices with the help of the network and the cloud have high requirements for the network and the cloud AI processor, which needs to transmit the collected data through the network with high speed and low latency, and quickly complete the computation and analysis in the cloud to draw conclusions and send them back to the user. This will enable effective monitoring of the body and timely warning of health threats. The advantages of high bandwidth and low latency of the 5G network that will be put into use in the future can strongly support the realization of this function. The continuous optimization and upgrading of artificial intelligence algorithms and the continuous improvement of processor performance also provide a guarantee for cloud-based artificial intelligence to analyze and process a large amount of uploaded monitoring data. On the other hand, by integrating the AI chip into the wearable device processor, the process of data transmission between the user side and the cloud side can be omitted, breaking away from the constraints of wireless transmission, reducing the dependence on other devices and conditions when using the wearable device, enhancing the degree of independent work of the wearable device, and lowering the burden of the user's use.
Unlike current common forms of AI, hybrid intelligence places more emphasis on human-machine collaboration and the role of people. That is, the role of the human is introduced into the intelligent system, forming a hybrid intelligence paradigm of human in the loop. In this paradigm, people are always part of such intelligent systems, and when the output of the computer in the system has low confidence, people actively intervene to adjust the parameters to give a reasonable and correct solution to the problem, which constitutes a feedback loop to improve the level of intelligence.
What is intelligent networking?
Intelligent networking is to formulate personalized networking solutions according to different types of households in the user's home to ensure that various types of smart terminal devices can smoothly access the Internet, so that the user's home WiFi to achieve full coverage and fast Internet access.
About networking I think Dandelion is pretty good. Dandelion SD-WAN is highly scalable, allowing users to quickly access and expand terminal equipment, and the network management platform allows for unified scheduling and management of the entire network.
Dandelion is a product of Shanghai Berry. Founded in 2006, Shanghai Berry Information Technology Co., Ltd (Berry for short) is an innovative remote connection SaaS service provider in China, which provides one-stop solutions from smart connection products to vertical applications by virtue of its independent innovation to build the three major brands of Sunflower Remote Control, Dandelion Intelligent Networking, and Peanut Shell Intranet Penetration.
Dandelion SD-WAN provides enterprises with an overall solution for intelligent networking, which comprehensively covers common access methods such as Internet, leased line, and wireless network, helps users to quickly deploy and introduce multi-line dynamic BGP network exit bandwidth, significantly improves the quality of network connection, and sets up a virtual local area network (VLAN) to break the geographical restriction and realize the interconnection of equipment and information between different regions without the need of public IP.
5. How to realize hybrid intelligence by using wearable technology?
With the help of network and cloud.
1, in the process of the user's use of wearable technology, it is necessary to realize hybrid intelligence with the help of the network and the cloud.
2. Wearable devices monitor various human and environmental data, which are uploaded to the cloud through the network.
3, analyzed by the cloud artificial intelligence chip, send back the appropriate data and instructions to achieve hybrid intelligence.
Smart wearable market ushers in new technology! Low-power Wi-Fi standard built specifically for the Internet of Things
In the age of the Internet, Wi-Fi is as ubiquitous as the oxygen in our lives. It is the most widely used wireless network transmission protocol today, carrying more than half of the world's traffic, and Wi-Fi is an all-encompassing term used to describe the evolving 802.11 family of protocols.
And the Wi-Fi Alliance, the organization driving the development of Wi-Fi, has simplified Wi-Fi names through numerical nomenclature, such as Wi-Fi6 corresponding to 802.11ax, Wi-Fi5 for 802.11ac, and Wi-Fi4 for 802.11n.
The arrival of 5G opens up the era of the Internet of Everything, like autonomous driving, smart city, remote medical care, smart wearable, etc., are all application scenarios of IoT. In order to better meet the needs of this type of market, the Wi-Fi Alliance has introduced the Wi-FiHaLow certification program, which provides a wider coverage distance and lower power consumption.
Wi-FiHaLow is a certification standard based on IEEE802.11ah technology, and is also a low-power Wi-Fi technology tailored for the IoT market.
As we all know, low-power transmission standards for IoT also include ZigBee, Z-Wave, Bluetooth, and Thread. the drawbacks of ZigBee and Z-Wave are their lower bandwidths, and both are less resilient when it comes to setup. ZigBee, for example, is not capable of frequency hopping, which makes it susceptible to interference during network deployment. Therefore, ZigBee is not suitable for IoT or M2M applications (industry-specific terminals) where the RF environment is unstable. Wi-FiHaLow, on the other hand, can connect up to more than 8,000 devices in a single node, and also has a certain level of anti-interference capability and wall penetration.
As for Bluetooth, its drawback lies in the communication distance, which is usually no more than 10 meters. Wi-FiHaLow, on the other hand, has a maximum transmission distance of 1,000 meters.
As a kind of long-distance wireless transmission technology, Wi-FiHaLow's low-power consumption and long-distance characteristics, in addition to industrial IoT, drones, security monitoring and other fields, can also be used for smart wearable devices.
Currently, mainstream smart wearable devices can be roughly categorized into three main types: TWS, smart watches and smart glasses. The first is TWS, and consumers usually care more about the sound quality, noise reduction, and range of the headphones before they buy TWS headphones.
For better portability, TWS headphones are basically made smaller, about the size of a thumb. With the limited size, TWS headphones need to cram a lot of components inside, including audio units, noise-canceling chips, batteries, and so on.
Now, the vast majority of TWS headphones on the market can basically reach 5~8 hours of single-use time. To further improve the battery life of TWS headphones, manufacturers have two approaches: one is to increase the battery capacity; the other is to introduce fast charging technology.
While it's not difficult to increase battery capacity, there are many problems with this simple and brutal method, such as with the increase in battery capacity, the volume of the battery will also increase, which will also make the headset cavity part of the headset larger and heavier, which not only sacrifices some of the portability attributes, but also affects the headset's wearing comfort. Moreover, adding more features to the TWS will also speed up the rate of battery consumption.
As for the introduction of fast charging technology, it doesn't fundamentally solve the problem of TWS headphones' battery life, as users need to put the headphones into the charging case and wait for 5 minutes before they can continue to use them for another hour. The Wi-FiHaLow low-power feature helps to improve the battery life of the TWS headphones, and although it's not hard to bring a qualitative improvement, at the very least, it's a bit better than before.
Second is the smartwatch. AppleWatch, for example, can operate independently from a cell phone through the e-SIM function, and has a dedicated app store where users can download apps according to their own needs, which can't be done without mobile cellular data and Wi-Fi.
The biggest bottleneck of traditional Wi-Fi is the problem of power consumption, which is the biggest problem of Wi-FiHaLow.
Wi-FiHaLow's performance in terms of power consumption, due to the use of 700~900 lower frequency, as well as narrower channel occupancy width, so that the power consumption and Bluetooth, ZigBee and other short-range wireless transmission technology is on the same level.
That is to say, whether you are downloading and installing apps or using apps that require internet connection for a long time, smartwatches that support the Wi-FiHaLow standard will have a lower power consumption performance, which corresponds to an increase in battery life.
Lastly, smart glasses. Now, the more common smart glasses on the market have two types for home or outdoor use, the former is mainly used for audio-visual entertainment, such as watching movies, playing games, etc.; the latter is more inclined to receive calls and listen to songs.
And Wi-FiHaLow supports long-distance transmission, multi-device connectivity, better wall penetration, and stronger anti-interference, in addition to its low-power features. For home-based smart glasses, if the router is located in the living room, the WiFi connectivity will deteriorate when you use it in the room. Plus if you're not the only one in the house and the router doesn't support Wi-Fi6, using smart glasses may affect the user experience due to network congestion issues. If home-based smart glasses support the Wi-FiHaLow standard, all of the above problems might be solved.
For outdoor smart glasses like Huawei's Eyewear, the biggest problem is the stability of the network connection. For example, when using outdoor-type smart glasses to listen to songs in application scenarios with complex signals such as subways and public transportation, the device may be interfered by external signals, resulting in frequent disconnections. Compared with traditional Wi-Fi and Bluetooth, Wi-FiHaLow has a stronger signal anti-interference ability, which can significantly reduce the interfering nature of external signals on smart glasses.
In fact, compared to smart wearables, Wi-FiHaLow is more useful in laying out the AIoT market. For example, smart security, due to Wi-FiHaLow maximum transmission distance of 1,000 meters, and support for up to 10,000 devices at the same time access to the same connection point, large shopping malls only need to build a Wi-FiHaLow access point in one location, you can cover all the monitoring cameras within one kilometer to support the standard. For merchants, the layout of security monitoring costs will be lower.
And Wi-FiHaLow helps to improve the smart home experience. At this stage of the smart home, the experience is not too good, either often disconnected, or by other devices in the home signal interference, resulting in high latency for actual use. If the smart home all support Wi-FiHaLow standard, then these problems may be solved.
In fact, Wi-FiHaLow is not a new technology, as early as 2016, the Wi-Fi Alliance has announced this standard, just no manufacturers are willing to follow up, until the domestic Zhuhai Taixin Semiconductor launched the world's first production chip based on the Wi-FiHalow standard, but the application scenarios do not have much to do with the average consumer.
To be honest, Wi-FiHaLow in the positioning, and Wi-Fi6 more or less overlap, after all, the indoor application scenarios, the difference is not big. In contrast, Wi-FiHaLow is more suitable for outdoor scenes. It's clear that the Wi-Fi Alliance made the right decision to announce the standard again at this point in time.
However, given the previous progression of the standard from announcement to chip mass production to commercialization, vendors may not have followed through and launched related products as much. Although the Wi-Fi Alliance to join a number of manufacturers, including upstream chip makers Intel, Qualcomm, etc., downstream terminal brand manufacturers, including Microsoft, Apple, Huawei, etc., but the Wi-FiHaLow standard will be applied to the field of smart wearable, ultimately depends on the manufacturers are willing to, after all, there has been a "lesson learned "
The Wi-Fi HaLow standard will be applied to smart wearables.