The Internet of Things, one of the foundations on which the fourth and fifth industrial revolutions have been based, is transforming the way in which people interact with the world around them. The evolution of this technology has generated changes unimaginable a few years ago, for example, thanks to global sound sensors.
This advance, according to analysts, is emerging as a key component to improve the efficiency of numerous Internet of Things applications. These are elements that detect and measure changes in the acoustic environment. They are used to provide services as varied as home security and wildlife control.
The new generation of these devices brings unprecedented benefits, as experts recall. Thus, they can collect and study large amounts of data in real time, which provides stakeholders with very valuable information to predict human behavior. Without going any further, in a smart home, these sensors can pick up unusual sounds, such as a window glass breaking or a body falling unexpectedly into the shower.
With this material, companies have the ability to respond with a speed never seen before. The same thing happens in industry, where sensors are monitoring the machinery, to discover any problem before any mechanical alteration causes serious damage or losses to the factory. In addition, these systems improve the user experience.
In a home or store, these sensors can be used to automate functions such as the volume of a stereo or the intensity of lighting, depending on ambient noise. Professionals admit that the limits around data security and privacy are the main challenge that must be overcome in this field, as is the case with many other fundamental pieces of Industry 5.0, from robotics to artificial intelligence.
The algorithms associated with these tasks are considerably complex. Otherwise, they couldn’t be as accurate as they should be. Specialists are sure that these sensors will become more and more popular, so hackers will pay more attention to them, because they will see hitherto unknown opportunities for deception.