InfinityBeam IoT Labs, an India-based manufacturer of cutting edge Internet of Things (IoT) devices announced the release of their latest remote automation and monitoring technology.
The internet of things, or IoT, is a system of linked computing devices, which may include mechanical and/or digital machines that are provided with unique identifiers (UIDs) and the ability to transfer specialized 'portable' data over a network without the need for any kind of human interaction.
Multiple grades of IoT technology exist today, the most common of which is outdated - roughly ten to fifteen years old. It's worth noting that unlike traditional remote management methods and IoT techniques, InfinityBeam works with solid-state high performance RISC based edge-computing on a precision modelled RTOS base.
The end-goal of IoT is to extend the internet - from standard devices like computer, mobile phones and tablet computing devices - to relatively 'dumb' devices... Such as a toaster or a coffee machine. IoT converts virtually any electrical or mechanical appliance into a 'smart' appliance. AI algorithms and Neural Networks promise to bring a phenomenal power and comfort to the end user. Powerful and versatile, this next generation of IoT threatens to bring obsolescence to the traditional M2M and older IoT methodologies.
The unique value add of this technology is a combination of:
InfinityBeam expects to install roughly 500,000 to 1 million devices in the coming year. Apart from providing and servicing the devices themselves, InfinityBeam IoT Labs takes a 'Solutioning' approach to bring out the best end result. Currently two 'smart factories' using this technology are underway.
InfinityBeam promises to address IoT challenges faced by the average user, such as:
The top 10 emerging IoT technologies are: [Ref: mhlnews.com]
1. IoT Security. Security technologies will be required to protect IoT devices and platforms from both information attacks and physical tampering, to encrypt their communications, and to address new challenges such as impersonating "things" or denial-of-sleep attacks that drain batteries. IoT security will be complicated by the fact that many "things" use simple processors and operating systems that may not support sophisticated security approaches.
2. IoT Analytics. IoT business models will exploit the information collected by "things" in many ways, which will demand new analytic tools and algorithms. As data volumes increase over the next five years, the needs of the IoT may diverge further from traditional analytics.
3. IoT Device (Thing) Management. Long-lived nontrivial "things" will require management and monitoring, including device monitoring, firmware and software updates, diagnostics, crash analysis and reporting, physical management, and security management. Tools must be capable of managing and monitoring thousands and perhaps even millions of devices.
4. Low-Power, Short-Range IoT Networks. Low-power, short-range networks will dominate wireless IoT connectivity through 2025, far outnumbering connections using wide-area IoT networks. However, commercial and technical trade-offs mean that many solutions will coexist, with no single dominant winner.
5. Low-Power, Wide-Area Networks. Traditional cellular networks don't deliver a good combination of technical features and operational cost for those IoT applications that need wide-area coverage combined with relatively low bandwidth, good battery life, low hardware and operating cost, and high connection density. Emerging standards such as narrowband IoT will likely dominate this space.
6. IoT Processors. The processors and architectures used by IoT devices define many of their capabilities, such as whether they are capable of strong security and encryption, power consumption, whether they are sophisticated enough to support an operating system, updatable firmware, and embedded device management agents. Understanding the implications of processor choices will demand deep technical skills.
7. IoT Operating Systems. Traditional operating systems such as Windows and iOS were not designed for IoT applications. They consume too much power, need fast processors, and in some cases, lack features such as guaranteed real-time response. They also have too large a memory footprint for small devices and may not support the chips that IoT developers use. Consequently, a wide range of IoT-specific operating systems has been developed to suit many different hardware footprints and feature needs.
8. Event Stream Processing. Some IoT applications will generate extremely high data rates that must be analyzed in real time. Systems creating tens of thousands of events per second are common, and millions of events per second can occur in some situations. To address such requirements, distributed stream computing platforms have emerged that can process very high-rate data streams and perform tasks such as real-time analytics and pattern identification.
9. IoT Platforms. IoT platforms bundle many of the infrastructure components of an IoT system into a single product. The services provided by such platforms fall into three main categories: