Smart security sensors
Smart inventory control and management
Over the last decade, virtual assistants have become increasingly popular particularly in the domestic market. For example, in 2011 Apple Inc. has produced the first modern virtual assistant, Siri.
Shortly after that, various companies such as Microsoft, Google and Amazon have released their own variant. As well as a new platform, smart speakers. Such as Amazon Echo, Apple HomePod and Google Home. All of which has become increasingly popular due to its growing number of feature and convenience.
However, it can increase its range of use if it was to be completely wireless. Thus if it was powered by a battery. This holds particularly true if the smart speakers were to have small microphone/speaker modules that could be placed around the house.
However, one of the limitations of the current smartphone speakers is the fact that if the user is in another room. Then the smart speaker is unable to communicate with the device. Therefore by using standalone microphone/speaker modules that are powered using an NDB one could likely address this issue effectively.
Smart homes are perhaps the most common form of the Internet of Things that will be available to consumers. As discussed in the section earlier a home could be turned into a wireless network of electronics where the consumer could add features to the house as they please.
There are already lighting, heating and other features that could be added to homes on the market frontiered by companies such as Hive Connected Home and Nest a subsidiary company of Google. NDB could add another layer of convenience to the user by making the necessary hardware truly wireless by removing the need for electrical wiring.
Manufacturing is an increasingly automated art with systematic quality control and production working at a rate faster than ever. Naturally, each step of the production needs to be checked but having such a vast demand for production in the modern world any error in manufacturing needs to be monitored using automated sensors, where any error would be reported immediately to the maintenance crew.
This, however, could be made more efficient by having a network of sensors working together and assembling information to a central hub that then could send notifications to the staff’s smartphones. This will allow for rapid troubleshooting increasing productivity and workplace safety.
NDB will be able to power the sensors to make this possible. Notably, NDB will be able to provide electricity even in events such as a system failure where traditional sensors that draws electricity from the system will not be able to.
As with smart homes, smart security has already appeared on the market where battery powered security cameras and door sensors have increasingly been adopted by users.
Notably, this is not limited to domestic buildings but also to commercial ones such as hotels, offices, factories and many more. Traditional security systems rely on a supply of electricity which presents two issues.
Firstly, the security would be weakened during a blackout and secondary if the security team requires an upgrade such as when they want to change the location of a camera it is difficult to do without the help of an electrician.
By using an NDB the security system will still be able to function during a blackout and also be able to relocate the battery powered security camera (and other sensors such as motion sensors) due to its standalone modular design.
In business, inventory management is incredibly important. Whether that is a shop or a warehouse. Having a clear inventory is imperative to any business. One solution to this is by having a smart business system where anything that leaves or enters an inventory list could be updated automatically.
This could be achieved through an automated system whereby either using a wireless tag or a shelf sensor that registers the entry and exit of merchandise could be used.
In both cases, NDB will benefit the application since the wireless tag could be used repeatedly without the need to recharge them and in the case of shelf sensors, it mitigates the need for electrical supply to be attached to the shelves allowing wireless and convenient stock control.
One of the fastest-growing areas of computer science is Artificial Intelligence. Where many of the latest innovations and businesses have adopted its use. AI and machine learning rely on one common denominator, data. Currently, AI and machine learning have flourished in IT since there is an abundant presence of data for the AI/computer to learn from but is yet to reach out to greater applications in real life.
This is partly because there is a shortage of real-life data, something that a network of sensors is able to deliver. Therefore, if one was to use NDB to power the sensors that are required for data gathering it could aid the AI and machine learning.
For example, global warming could be monitored and its projection simulated by processing the data obtained from meteorological sensors such as temperature, pressure, humidity sensors etc… of various locations on the planet. This could be carried out much faster if an AI were to process the information instead of it being done so manually.