Move Over IoT... IoR is Magnitudes Larger
You’ve heard about the Internet of Things (IoT), and maybe the Internet of Everything (IoE). But the Internet of Recognition™ (IoR™) is probably new to you. And yet, it is possibly many thousands of times larger than the Internet of Things.
Advances in machine vision and the ability to extract precise interpretations through software-based analytics has placed humanity at the doorstep of a whole new way to deeply interface our physical world with our digital world. Image and video recognition is poised to change how physical objects and people are interleaved with the Internet.
IoT is Big, Very Big...
As defined by Wikipedia, the Internet of Things (IoT) is the network of physical devices, vehicles, buildings and other items — which are embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
IoT also encompasses technologies such as smart grids, smart homes, intelligent transportation systems, and even smart cities. Each “thing” is uniquely identifiable through its embedded computing system. And, each “thing” is able to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will consist of almost 50 billion objects by 2020.
And as big as that is, the Internet of Recognition™ has the capacity to tack on another 250 billion things by 2025(1).
If IoT is big, IoR™ is massive.
IoT vs IoR - What’s the Difference?
To get a clear understanding of IoR and how it differs from the Internet of Things℠, consider for a moment, devices that are specifically instrumented with embedded computing systems for participation as an Internet “thing” and how they differ from all of the other things (and people) on the planet that were not designed or built with IoT participation in mind.
A good example is a solid steel valve used to control the distribution of fluids. It has a handle, an on position, and an off position. Other than these essential features, it’s a pretty basic plumbing component.
Valves like this are commonly-used plumbing devices that require human observation to know if it is open or closed. It has no embedded CPU or an IP address nor does it have any electronics that can communicate its status. And, you can’t send it a signal to open or close.
This valve possesses absolutely no capacity to participate as a member of the Internet of Things.
However, if we point a video camera at it -- and perhaps many other valves like it -- we can extract some very useful analytics such as:
The basic ability of machines to recognize things, people, and movement, conspire to transform this valve into a vibrant member of the Internet of Things, or more accurately, a device whose actions, states, and presences can be determined. The Internet of Recognition℠ makes this possible.
IoR™ can embrace billions of everyday things.
Another useful example involves about 7.5 billion things that are uniquely recognizable, yet have no embedded electronics.
We can observe and recognize movement, expressions, race, hair color, age, gender, faces, and many other attributes of ourselves. We can plot historical pathways people follow, who they speak with, who they avoid, and even predict their future pathways.
And we can remember who we’ve recognized before, tag their personas with discrete labels, and assign meta-data values. And using this information we can classify, manage, target, and organize everyone and everything we’ve recognized.
From valves to people and everything in between - IoR opportunities are as astounding as they are vast.
(1) As a matter of simple math, for every IP-enabled thing, we can easily think of five additional things that are not IP-enabled and which would be valued participants in the IoT.
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