Dhairya Parikh
Published © GPL3+

SparkUQM - An AI Powered Urban Quality Monitoring System

A SparkFun Artemis powered urban quality monitoring system with IoT capability and TensorFlow Lite based machine learning implementation.

IntermediateFull instructions provided10 hours1,355

Things used in this project

Hardware components

SparkFun RedBoard Artemis ATP
SparkFun RedBoard Artemis ATP
×1
Photon
Particle Photon
To connect the Artemis to the Internet
×1
SparkFun Environmental Combo Breakout - CCS811/BME280 (Qwiic)
SparkFun Environmental Combo Breakout - CCS811/BME280 (Qwiic)
×1
SparkFun Micro OLED Breakout (Qwiic)
SparkFun Micro OLED Breakout (Qwiic)
×1
Seeed Studio Grove - Button
×1
Seeed Studio Grove RGB LED
×1
Grove - Air quality sensor v1.3
Seeed Studio Grove - Air quality sensor v1.3
For some additional Air Quality Measurements
×1
Grove - Relay
Seeed Studio Grove - Relay
For Actuation Purposes
×1
Jumper wires (generic)
Jumper wires (generic)
×1
USB Cable, USB Type C Plug
USB Cable, USB Type C Plug
×1
Power Bank
×1
Rapid IoT Prototyping Kit
NXP Rapid IoT Prototyping Kit
To collect Reference Data
×1

Software apps and online services

Arduino IDE
Arduino IDE
Particle Build Web IDE
Particle Build Web IDE
TensorFlow
TensorFlow

Hand tools and fabrication machines

Solder Wire, Lead Free
Solder Wire, Lead Free
Soldering iron (generic)
Soldering iron (generic)
Wire Stripper & Cutter, 18-10 AWG / 0.75-4mm² Capacity Wires
Wire Stripper & Cutter, 18-10 AWG / 0.75-4mm² Capacity Wires

Story

Read more

Schematics

Schematic

Code

GIT Repo

Credits

Dhairya Parikh

Dhairya Parikh

21 projects • 123 followers
Project Developer | IoT and Machine Learning Enthusiast | Open Source Enthusiast |

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