edge lab LIVE! starts Tuesday in Munich. Grab a workshop seat and take home the board you build on. Code FRIEND-HACKSTER saves 20%. () Learn more!
Ognen Plavevski
Published © MIT

AI for fire detection

A network of drones that can take off every 15 minutes to record their surroundings in search of wild fires.

AdvancedWork in progressOver 6 days1,148

Things used in this project

Hardware components

nxp RDDRONE-FMUK66
The drone it self
×1
Raspberry Pi 4 Model B
Raspberry Pi 4 Model B
Needed for the AI processing
×1
Solar Panel, 2.5 W
Solar Panel, 2.5 W
Solar panel to charge the remote UAV station. A more powerful than this one would be needed.
×1
Sunny Buddy - MPPT Solar Charger
SparkFun Electronics Sunny Buddy - MPPT Solar Charger
Component to charge the battery
×1
Rechargeable Battery, 12 V
Rechargeable Battery, 12 V
A battery bank would be needed to store the charge from the solar charger
×1

Software apps and online services

Raspbian
Raspberry Pi Raspbian
TensorFlow
TensorFlow

Hand tools and fabrication machines

3D Printer (generic)
3D Printer (generic)
3D printer to print the custom parts. Already owned.

Story

Read more

Credits

Ognen Plavevski
1 project • 1 follower
Tinkerer to the core

Comments