ELEDIA Wireless Indoor Localization
Opportunistic, Scalable. Low Cost.
ELEDIA WaLK
Opportunistic, Scalable. Low Cost.
Provide context-aware services
Ubiquitous and pervasive computing envisions context-aware systems that gather real world information from many fixed and mobile microchips and sensors integrated in everyday objects. To provide valuable services, it is necessary to estimate the location of users or objects.
Locating assets and users is one of the key issues to enable transparent and immediate services. Several interesting location-aware applications are emerging in everyday life: Indoor asset tracking and monitoring of objects; People tracking inside a facility; Shopping assistance in malls; Museum guide systems;
Deliver your own location-aware services directly to user device
After all, what better opportunity to get a consumer to respond to your message than when they're right by your location?
ustomer walks into the shop and a notification appears on its smart-phone. "Welcome back, and check out our special offer" It could be his favorite bottle of Brunello, or a new range of handbags from preferred brand; but the offer is just for him, based on his transaction history and where he is located.
Identify your audience and upgrade marketing analysis with geo-data
Context marketing is all about presenting the right content to the right person at the right time.
Thanks to the WaLK framework, providers get access to powerful real-time location and users analytics.
WaLK might interact also with 3rd-party software and services, such as security systems, environmental automation and conditioning systems, in order to detect threats and optimize power consumption in real-time.
WaLK is a Scalable, Opportunistic Location System
designed for Indoor environments
WaLK does not rely on custom hardware. We exploit available networks and devices, such as Wi-Fi 802.11 abg/ac/n, Bluetooth.
WaLK follows the plug and play paradigm. Just few information about the building and its wireless devices are required to get started.
We apply state-of-the-art and edge-research algorithms designed by our experts and published on journals such as IEEE Proceedings.
Position accuracy is estimated in real-time, it depends on the environment complexity and available hardware, up to few meters.
WaLK does not rely on Wireless fingerprints neither on long offline training. You won't have to update the system periodically.
WaLK supports environmental changes and network upgrades nicely. It comes with interactive GUI tools to assists the configuration process.
WaLK localizing user at Department of Information Engineering and Computer Science
- University of Trento, Italy
In the demonstration, only wireless information are used as they are available from the standard smart-phone.
No interpolations, filters or dead-reckoning sensors.
Comparison of two operative wireless models:
Using Path-Loss propagation wireless model, WaLK requires only the knowledge of Wi-Fi Access Points displacement.
When blueprint and environment information are available, WaLK can exploit complex Ray-Tracing wireless propagation modeling and improve accuracy.
WaLK detecting room occupancy at Department of Information Engineering and Computer Science
- University of Trento, Italy
In the demonstration, only wireless information are used as they are available from the standard smart-phone.
No interpolations, filters or dead-reckoning sensors.
let's design innovative positioning services and solutions for your applications