Shows the Wi-Fi fingerprints that have been collected using Anyplace Logger on Android as shown in the video below:

Collecting the Wi-Fi fingerprints allows our users to localize with greater accuracy but allows you also to observe the coverage of Wi-Fi infrastructure.
For greater accuracy on those tasks, please collect as many fingerprints as possible using your Android Phone.

This area allows you to observe the network coverage of your Wi-Fi Installation.
You can observe how much Wi-Fi signal intensity your mobile phone received during the fingerprint collection process.
Higher intensity (i.e, green or -30 dBm) means that your network has a GOOD Wi-Fi coverage (for a given square).
Lower signal intensity (i.e., red or -110 dBm) means that you have NO coverage (at particular square).
The image below shows the Wi-Fi signal intensity:

• 0 to 60
• -60 to -70
• -70 to -90
• -90 to -100
• -100 to -110
dBm

You can click on a certain color (range) to filter the measurements in that range.

Connectivity Scale:

• PERFECT: 0-60 (GREEN)
  excellent connectivity at the highest speeds.
• GOOD: 60-70 (YELLOW)
  good connectivity to your Wi-Fi, but not always at the highest speeds.
• ACCEPTABLE: 70-90 (ORANGE)
  fine connectivity to your Wi-Fi, accept occasional interruptions but should be fine for email and web browsing.
• INTERMITTENT: 90-100 (PURPLE)
  intermittent (flaky) connectivity, slow transfer rates and performance issues with multimedia content.
• NO-CONNECTIVITY: 100-110 (RED)
  expect no connectivity to your Wi-Fi.

By clicking on the “Show Estimated Wi-Fi AP position” button, you can calculate from the fingerprints where the Access Points (APs) are located in your space. These locations are inferred (i.e., estimated) and might not correspond to the real location of the APs. To improve the accuracy of the AP derivation process, try to upload as many high fingerprints close to the real AP as possible using the Anyplace Logger.

This area allows you to observe the expected localization accuracy (i.e., different than Wi-Fi coverage) using the ACCES algorithm .
Green shows higher localization accuracy and red lower accuracy. To improve the expected localization accuracy you have to improve the data collection process as it is described under the Wiki page.
More details on how the localization accuracy works in theory are documented in the following publications.

• [C66] "Indoor Localization Accuracy Estimation from Fingerprint Data", Artyom Nikitin, Christos Laoudias, Georgios Chatzimilioudis, Panagiotis Karras and Demetrios Zeinalipour-Yazti "Proceedings of the 18th IEEE International Conference on Mobile Data Management" (MDM '17), IEEE Computer Society, Pages: 196--205, May 29 - June 1, 2017, Daejeon, South Korea, 2017.[ Honorable Mention Award! ],
• [C65] "ACCES: Offline Accuracy Estimation for Fingerprint-based Localization", Artyom Nikitin, Christos Laoudias, Georgios Chatzimilioudis, Panagiotis Karras and Demetrios Zeinalipour-Yazti "Proceedings of the 18th IEEE International Conference on Mobile Data Management" (MDM '17), IEEE Computer Society, Pages: 358--359, May 29 - June 1, 2017, Daejeon, South Korea, 2017.

You can see a demo of ACCES in the video below:

Use Anyplace Architect to create a venue in a few clicks!
Just upload your image floor plans, add Points-of-Interest (POIs) (e.g., offers, rooms, equipment) and links. Make your venue public and it instantly appears on Anyplace Viewer. Keep your venue private and it can be shared more personally through a URL. Export and Import spaces in JSON format or use the Anyplace Developers API to link the mapped information to your proprietary application!
Live Crowdsourcing tasks, heatmaps and many more!