Research firm Gartner predicts that global connected objects will exceed 20 billion in 2020, and it is expected to bring up to $6 trillion in global output. Even so, the market is still not due to the huge business prospects, ignoring the hackers will become ubiquitous under the Internet of Things. In the past, telecom operators who are good at communication, in addition to continuing to play network operators in the IoT ecosystem, also provide developers with a series of network management measures for the application development of the Internet of Things. In the era of the Internet of Things, when devices are connected to the Internet and connected with everything, they are easy to become accomplices in the crimes of those who are concerned. A university in the United States has caused a network in the school due to as many as 5,000 IoT devices in the school, including street lights and vending machines. In the face of network security threats, telecom operators as network operators provide a stable infrastructure for the IoT industry chain. As the security issues become more and more concerned, telecom operators will play a very important role. For example, Chunghwa Telecom has actively deployed the IoT platform in the market by virtue of the communication, security and cloud fields that it is very good at in the past, so that related industries can develop a variety of IoT applications through the platform. Chunghwa Telecom recently announced the transfer of its subsidiary, China Capital International, to build a global security brand for Taiwan. Chunghwa Telecom has been deeply involved in the field of Internet of Things for more than ten years, and has accumulated more than 200,000 IoT devices, including LED smart street lights and intersection image monitors. Chunghwa Telecom associates Liang Guanxiong said that Chunghwa Telecom's IoT platform itself is already a fairly complete platform. The internal integration includes application management, online management, communication security, artificial intelligence, big data and other application function modules, which can enable content providers or developers. Developed a variety of application services in the shortest possible time. Chunghwa Telecom is also the first domestic IoT platform with online management functions, allowing developers to monitor and manage the device's online status in real time. At the management level, developers can manage the communication status of the device through the platform, such as querying 3G, 4G or NB-IoT traffic and fault messages, and even online testing for network configuration settings. In terms of monitoring, in order to prevent the security loopholes caused by the network, the platform can record and set the event trigger engine for abnormal events through the abnormal notification management mechanism. If the fault status is encountered, the notification measures will be taken immediately, so that the developer can Take countermeasures against the abnormal state of the device in the shortest time. In addition to the core development of communication and security, in the face of the rapid development of artificial intelligence in recent years, Chunghwa Telecom has also actively established an AI ecosystem through this platform, moving from a simple communication service role to artificial intelligence and big data analysis, and further expanding telecommunications. The value of business in the IoT ecosystem chain. Taking image recognition as an example, the IoT large platform provides many deep learning modules and big data analysis algorithm modules, which can facilitate software developers to integrate various AI applications into various application fields, such as smart city, security monitoring, retail channel monitoring and environment. Monitoring and so on. Liang Guanxiong said that in fact, Chunghwa Telecom has provided image services for more than 10 years in the market. In the early days, it cooperated with the police to launch the "Yunlong Track" project to help the police track the trajectory of suspicious vehicles and greatly improve the efficiency of police operations. Future image recognition technology can be applied not only to policing units, but also to creating more innovative business models. For example, he can use the smart store to grasp the consumer's shopping hobbies and behaviors. When used in smart agriculture, he can use the drone's flight tour to identify different areas, different crops, and different planting methods. Compare the growth of crops. If it is further applied to environmental monitoring in homeland security, deep learning can be used to predict environmental changes. Food Safe Stainless Steel Motor
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