Blockchain-Enabled IoT Sensor Framework that uses Augmented Reality and Artificial Intelligence.

Related tags

Networking iot aws arduino firebase database azure raspberrypi blockchain artificial-intelligence hyperledger sensors iot-framework augmentedreality dapps extendedreality tothemoon
Overview

Arduino + Raspberry Pi + Unity3D + Cloud + Hyperledger

Our Mission: Keep it simple, leave no one behind.

Asset 2

Blockchain-Enabled Smart Sensor Framework using Augmented Reality.

Extended Realities for IoT. View Sensor data in 3D

This project was built to help developers create extended realities that communicate with Arduino and require the security of blockchain decentralization.


(\__/)                                    /)__/)
(=' .') / COLLABORATION \ ('. '=)
o(_(")(")                          (")(")_)o


Instructions

ezgif com-gif-maker

Connect Sensors to Unity3D with the DappAR opensource framework.

  1. Confirm dependencies and parts list https://dappar.io/sample-project
  2. Sign in to your Github account
  3. Find DappAR on Github (https://lnkd.in/gBJ4-dd)
  4. Click "Fork"
  5. Click "Star"
  6. Join our Discord (Will return shortly)
  7. Follow us on Twitter https://twitter.com/dapp_AR and @mention us for a reshare!

Steps

P1 - Starter Project + Firebase + Google Cloud ✅


Phase 1 - Complete and available now. *Canis

  1. We've Developed a Sensor Application (Python + Raspberry Pi + Arduino)

  2. Stored the Python + Raspberry Pi data into Google Firebase through Python API's

  3. Collected Data from Firebase and Displayed it in a Unity Mobile Application

  4. Displayed Data on a Static IP Address from Firebase.

Quick Set Up

Demo.py file contains sensors values reading code through Arduino Sensor Kit Base ports A0,A1,A2,A3 & Also contains an Api call which is inserting data into realtime database on google firebase.

By default in Firebase connectivity we've passed our own credentials.

You can setup your own firebase on google cloud and get its credentials & replace it with our firebase credentials.

You may ask us for help at any point.

Route1



P2 - Starter Project + AWS + HyperLedger + Cardano


Phase 2 *Boysenberry

{Native Mobile Apps Development & Uploading to Snapcraft.io, The App Store and Google Play using Augmented & Virtual Reality (AR & VR), AWS (Amazon Web Server & Services) & Hyperledger + Cardano} *Contact us for specifics using [email protected] - otherwise we will release all phase 2 assets, source code + notes around Oct 01 2021

Route2



P3 - Azure + Hyperledger + Socket IO + User Management + Scalability


Phase 3 *Ghostberry

This phase will roll out our private repo for developers and enterprise customers who want to publish an app without the source code being public. It will also include user management for multiple Arduino compatible devices and the use of Azure + Hyperledger + Socket IO

Route3



P4 - Robotics Response


Phase 4 *Huckleberry

Robotics will focus on the robotics response to Arduino sensor values and AR triggers.


Project Timeline

DappARTimeline

This project is supported by Wolfberry, LLC | DUNS 102917686 | CA 201926910067

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Releases(v1.0.0)

  • v1.0.0(Aug 9, 2021)

    P1 - Starter Project + Firebase + Google Cloud ✅

    Phase 1.0 - Complete and available now. *Canis

    We've Developed a Sensor Application (Python + Raspberry Pi + Arduino)

Stored the Python + Raspberry Pi data into Google Firebase through Python API's

Collected Data from Firebase and Displayed it in a Unity Mobile Application

Displayed Data on a Static IP Address from Firebase.

    Quick Set Up

    Demo.py file contains sensors values reading code through Arduino Sensor Kit Base ports A0,A1,A2,A3 & Also contains an Api call which is inserting data into realtime database on google firebase.

    By default in Firebase connectivity we've passed our own credentials.

    You can setup your own firebase on google cloud and get its credentials & Replace it with our firebase credentials.

    You may ask us for help at any point.

    Source code(tar.gz)
    Source code(zip)
Owner
DappAR
Prototype and Deploy Sensor-Driven Dapps enhanced with Augmented Reality and Artificial Intelligence.
DappAR
GitHub https://www.dappar.io
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