Most people think of the Internet of Things as devices that have wireless networking, access to the cloud, and eventually collect data and information as time passes. While this is certainly accurate as a primary understanding, did you know that there are also a number embedded module of key IoT technologies that are critical to a sound IoT implementation? In this article, I'll share with you 6 key IoT technologies that you should definitely master!
The Test of the Internet of Things
The Internet of Things describes an Internet of interconnected "things" or electronic systems that are equipped with controllers and levels of computing and can communicate with each other. Such devices are embedded in a variety of edge applications, such as smart machines, industrial production monitoring systems, or driverless cars.
However, as the application of IoT gets better, the need for its adoption becomes more demanding. For example, the power monitoring system that gradually chooses IoT technology must have many additional roles to operate reliably and continuously, otherwise the company may suffer from the risk of terminal disruption and loss of important revenue. As a result, new and different technologies are needed to apply real-world IoT implementation.
And that's exactly the key IoT technologies we're going to explore today, as they work to get out of this ordeal and make the IoT safer, faster, and better for this distinctive test case. Without further ado, let's get started now!
1、Multimedia system IoT
Multimedia systems in the Internet of Things means that it involves the application of graphics, news media, short video, visual effects and three-dimensional imaging data information at the edge to get judgmental use of the Internet of Things, for example, this is likely to contain retail industry according to the cloud of retail outlets (POS), the new smart city for the supervision of network cameras, industrial production and even diagnosis and treatment of three-dimensional imaging in the industrial touch screen. Such applications usually operate on special hardware configurations to speed up multimedia systems codec and numbering to facilitate a smooth service and customer experience instantly.
2、Artificial intelligence technology at the edge
Multimedia systems in the Internet of Things also lay the groundwork for machine vision and visual effects profiling, which is also a subset of edge artificial intelligence technology. Edge AI technologies apply device learning models at the edge to give intelligent views on-the-fly. Some of the popular examples you are likely to learn about are quality management based on vision systems in industrial production, instant road traffic management methods in new smart cities, diagnostic imaging to confirm diagnosis, instant analysis and prediction, etc. Some probabilities in the Internet of Things have opened a new period of automated control that is predicted to substantially improve industrial production productivity and safety in the next decade.
However, device learning models do require a certain level of computation to function properly, especially with the intricate collaborative convolutional or recursive neural network models that we all have today. Thus, the application of GPUs or dedicated hardware configurations for edge AI networks can significantly improve the effectiveness of edge AI technology solutions.
3. Real-time measurement
IoT systems work in dynamic environments, and must be measured and derived instantly - think of airlines, transportation, intelligent robots, industrial automation, for example - where even a moment can cause great harm.
Such IoT applications are what is referred to as "time-sensitive applications," which means that the internal structure of the device and the data and information transmission and communication network between devices must be generated immediately with a pre-defined delay time to facilitate the measurement of daily tasks as a whole within an acceptable time frame and in an elevated manner.
The diligence to complete reasonable real-time measurement includes specifications such as the Time-Sensitive Comparison Network (TSN) for predictable Internet, and its hardware configuration such as Intel's Time-Consistent Computing (TCC) technology, which is a new technology that can enhance and allocate storage resources to complete real-time measurement.
4, functional safety (industrial safety)
IoT devices are also used by many to improve the security in industrial production indoor environment, that is, the so-called functional safety. Functional safety means applying active system software as a common fault protection device to avoid common failures of electronics or incorrect human factors. A common feature of functional safety may be that if extraordinary performance parameters are monitored, the use of industrial production machinery and equipment is stopped fully automatically.
5, IoT security
Due to the distributed system and interconnectivity of the IoT system, if there is no adequate security measures, individual devices may become system vulnerability points. Subsequently, hacking attacks on individual devices can quickly spread across the Internet based on current connectivity, which may lead to significant system destruction, or worse - make it completely paralyzed.
IoT security is a critical and relevant future development industry that is dedicated to maintaining devices, data connections and the data information transmitted. Such countermeasures include hardware configurations such as encryption chips or cell phone software such as data encryption communication protocols.
6, the manageability of the Internet of things
The most modern IoT systems can carry up to thousands of devices and exponentially increase the number of threads in a single Internet. With the continued expansion of solutions, supervising, navigating and maintaining devices is likely to become a huge test. Thus, IoT manageability is a critical consideration.
Scalable IoT manageability allows you to not only check the status of device management, but also connect, upgrade or patch them remotely, thus completing an effortless management approach. This will improve manual process management by controlling costs and increasing productivity. In addition, based on stronger browsing, security patches can be given immediately to further enhance the security of the IoT system.