Enabling computers to understand who/what is where/how...
...in any physical space, and without the need for human-entered data.
The TL;DR (Too Long; Didn't Read)
Learn about the key insight behind reelyActive's technology and open source software.
- How technical is this?
- We wrote this tutorial to be accessible to non-technical and technical readers alike.
- Does this really work?
- Yes, radio-frequency identification (RFID) and real-time location systems (RTLS) already make this possible, however adoption is not widespread.
- Could this be ubiquitous?
- We certainly believe so, and will present why and how below!
Co-located RFID Systems Unite
As of 2019, there were over 20 billion standard radio-identifiable devices shipping annually. Each of these is typically associated with a person, product or place, and can be automatically identified at a distance on the order of 10m.
As you can therefore imagine, if there were a means to unify the identification of these devices, and to associate each with the person, product or place it represents, then computers would have an understanding of who/what is where/how at a human scale.
That is precisely the subject of our presentation at IEEE RFID 2019 which we invite you to flip through below:
Where to next?
Continue exploring our open architecture and all its applications.
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