Forest Fire Detection with Drone Camera Using Computer Vision and Artificial Intelligence Technology

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.

You will work on solving a local problem, initiated by the Omdena Jakarta, Indonesia Local Chapter.

The problem

Indonesia’s forest fires have made headlines globally over the past few years. According to the latest report in 2019 from the Indonesian National Disaster Management Agency (Badan Nasional Penanggulangan Bencana or BNPB) there are more than 2,000 hotspots in six provinces mainly in Kalimantan and Sumatera Islands. From January to August 2019, 328,724 Ha of land have been burnt by the fire.

We are now progressing on building an AI solutions for powering drones in disaster relief scenarios and operations such as wildfires to facilitate early fire detection before a catastrophic event happens.

The goals

The goals of this project are:

• Collect more annotated fire images and scope it to forest distribution.
• Build a dedicated model to detect fires in a forest.
• Optimize the model so it can run on edge devices (drones, UAVs, etc).
• Publish an interactive dashboard to display how efficient our AI solution is to detect fires.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work