Trukdoc – In-transit Vehicle Predictive Maintenance

About the project

An AI-based IoT solution for in-transit vehicle monitoring on Nordic Thingy:91

Project info

Difficulty: Expert

Platforms: ArduinoSilicon Labs

Estimated time: 2 weeks

License: GNU Lesser General Public License version 3 or later (LGPL3+)

Items used in this project

Hardware components

Sensor Tool W Nrf52840 & Nrf9160 Sensor Tool W Nrf52840 & Nrf9160 x 1
Arduino Uno - R3 Arduino Uno - R3 x 1
Raspberry Pi Zero W Raspberry Pi Zero W x 1
Raspberry Pi Camera Module V2 Raspberry Pi Camera Module V2 x 1
Transceiver Breakout - Nrf24l01+ Transceiver Breakout - Nrf24l01+ x 1
Lithium Ion Polymer Battery 3.7v 1200mah Lithium Ion Polymer Battery 3.7v 1200mah x 1
Tiny Battery Charger Tiny Battery Charger x 1
Rotary Encoder Rotary Encoder x 1
Gas sensor - MQ135 Gas sensor - MQ135 x 1
Air Pressure sensor Air Pressure sensor x 1
Magnetic Field Sensor Magnetic Field Sensor x 1

View all

Software apps and online services

Arduino IDE Arduino IDE
Simplicity Studio Simplicity Studio
Edge Impulse Edge Impulse
Thonny IDE Thonny IDE
IFTTT IFTTT
Monogoto Cloud Monogoto Cloud

Hand tools and fabrication machines

3d printer 3d printer x 1
soldering iron soldering iron x 1
Jumper wires Jumper wires x 1

Story

Trukdoc - an in-transit vehicle predictive maintenance solution

Credits

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