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Blyott "Demo Kit" Manual - Kennisbank / Blyott Manuals - Blyott Support & Assistance

Blyott "Demo Kit" Manual

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Here you can find the full DEMO KIT Manual for demo licenses including the downloadable PDF file for your convenience.

Demo Kit components

The Demo Kit contains the following components:

  1. Bluetooth Locator (BT-L1)
  2. Bluetooth Tag (BT-T1b)
  3. Cloud platform - demo licenses (*) (**) 

(*) Your access credentials have been sent to your E-mail address but you did not receive these? Contact us @
(**) Demo licenses are fully functioning licenses including the “Machine Learning” option for higher location 
accuracy. These demo licenses are valid for 1 year and can be renewed after this period.

Blyott concepts

1/ Locations

E.g. different “rooms” in a hospital. Whereby every room has its own unique code e.g. “R1” and name e.g. “Room 1”.

2/ Locators
The BT-L1 comes with its own unique MAC address (= QR-code). The BT-L1 is linked to a “room” where it is physically installed.

3/ Assets
An asset in a hospital. E.g. a hospital bed. Every asset has its own unique code used by the hospital (e.g. BED001).

4/ Tags
The BT-T1b has its own unique MAC address (= QR-code). This tag is physically fixed on and linked to an asset.

Step 1:

Create Locations

  • Go to tab “Locations”

  • Click on the “+” sign to add a new location
    - Location = name of the room; e.g. Patient Room 1
    - Code = internal code of the room; e.g. R1
    - Type= choose “Active” as a standard value

  • Click on Save
    - Repeat the process; for using the demo enter at least as many locations as you have BT-L1’s.

Step 2:

Create Locators

  • Go to tab “Locators”
  • Click on the “+” sign to add a new locator
    - Locator = name of the locator; e.g. Locator 1
    - MAC = MAC address as indicated on the bottom of the BT-L1. Enter the MAC address in 
        capital letters and without the semicolons (:).
    - Type= choose “Fixed” as a standard value
    - Location = select one of the Locations you defined
    - Hardware Model = select BT-L1
    - Serial Number, IMSI, IMEI = leave empty
  • Click on Save

Step 3:

Create Assets

  • Go to tab “Assets”
  • Click on the “+” sign to add a new asset
    - Asset = name of the asset; e.g. Bed 001
    - Permissions = select “All Users”
    - Code = enter e.g. the unique barcode of the bed
    - Tag Assigned = leave empty
  • Click on Save
    - Repeat the process; for using the demo enter at least as many assets as you have BT-T1’s.
    - Assets can also be added via the "mobile app"; cf. "Step 5".

Step 4: 

Activate Locators & Tags

  • Activate the BT-L1 locator
    - Power on the device via PoE or USB; USB power adaptor is not included.
    - Connect the device to the internet via either Ethernet or Wi-Fi (2.4Ghz). Make sure ports TCP/UDP 123, 443 (HTTPS), and 8883 are open on your firewall or router.
    - In case of connection via WiFi: create a new Wi-Fi network on your router with the following settings: SSID = “Blyott" and WPA2 password = "BlyoTT:2200!"
    - You can check the connection status per device via the Blyott portal. On the device: "Green" light means power, "white blinking" light means connected to the platform and sending data.
  • Activate the BT-T1 tag
    - Press and click the tag during 3s twice. Both the red and green LEDs will start flashing (5x and 3x or 3x and 5x). The tag is now activated.

Step 5: 

Mobile App

  • Download our Mobile App
    - Available in both the Apple App Store and the Google Play Store under the “Blyott” brand-name
    - To log in: use your existing Blyott credentials.
  • Link Asset to Tag
    - Take one of the BT-T1b tags and fix the tag on an asset, e.g. Bed 001.
    - Click “Link Asset” in the mobile app. Scan the QR- code of the tag (= Tag ID). Scan the Barcode of the asset (or enter e.g. bed001 manually) (= Asset Code). Click the “Link Asset” button.
    - The tag is now linked to the asset. You can now search for your assets by clicking the “Search Asset” button.

Frequently Asked Questions (1/2)

  • Bulk Down- and Upload?

    • Yes. Via our Excel plug-in and the Airtable app you can down- and upload many items at the same 
          time (e.g. assets, locations, locators, …).
  • 3rd Party App Integration?
    • Yes. Via our REST API’s is it possible to integrate many features in existing applications. The latest REST API manual is available via
  • Sensors & 3rd Party Tags?
    • The BT-T1b tag comes with a built-in T° meter, movement detector, and press button.
    • It is possible to integrate 3rd party tags with our cloud platform.

Contact us for more information @

Frequently Asked Questions (2/2)

  • Coverage of the BT-L1 locator?

    • On average, the BT-L1 locator can “see” Blyott tags up to a distance of +-10m. This implies that 1 locator can cover an area of +- 300m2.
    • The more locators the higher the accuracy. We advise at least 3 locators per floor and 1 locator per 100m2-150m2; this gives a location accuracy of +- 6m.


  • Increase Location Accuracy?

    • When “Machine Learning” (ML) is not used, the returned location is based upon the closest location where a locator is installed.
    • When different locations have been trained via ML, the returned location is calculated via our ML localization algorithm. This results in a higher location accuracy of +- 3m.
    • Contact us if you want to activate the ML option for your demo environment. A minimum of 3 BT-L1’s will be required for ML training purposes.


Example: hospital floor with 35 “locations” and 14 “locators”.

  1. Without ML activated, only 14 “locations” are known. If an asset is e.g. in Room 1, the Blyott platform will indicate that the asset is in Room 2 if locator 8180 receives the strongest signal.
  2. With ML activated, all 35 “locations” are known. If an asset is in Room 1, the Blyott platform will predict Room 1 as the correct room even if locator 8180 (R2) receives the strongest signal.

To train all 35 rooms via our ML algorithm, we install during a period of 1-2 hours tags in the different rooms. These tags will generate “radiation patterns” which are used to train our ML; we call this “fingerprinting”. These 
patterns are then used to predict the locations of assets.


If you have any questions or suggestions at all, please feel free to get in touch with us HERE!

Thanks and regards,

The Blyott Support Team  I  I 

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