In the face of natural disasters, such as wildfires, Prometeo protects those who protect us - the firefighters. With our solution, we've developed a prototype sensor which sends environmental telemetry (temperature, humidity, and smoke concentration). This data is processed by a machine learning algorithm which is able to predict firefighter health, indicating if they are OK, soon to be in danger, or in danger. The goal is to track real-time status, and eventually use aggregated data to make suggestions that improve health outcomes in the long run.
View the project board to track progress against the 1Q 2020 milestones.
Prometeo is comprised of 5 different components:
- The Prometeo story
- Setting up the solution
- Project Roadmap
- Built with
- Contributing
- Authors
- License
- Acknowledgments
Watch the video below to understand Prometeo's solution:
See SETUP.md
See ROADMAP.md
- IBM IoT Platform - Used to collect and capture data from the sensor
- Node-RED - Used to run a custom machine learning algorithm on the collected data
- IBM Cloud Kubernetes Service - Used to connect the data to the dashboard
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting Prometeo pull requests.
- Josep Ràfols
- Marco Emilio Rodríguez
- Salomé Valero
- Joan Herrera
- Vicenç Ferrés
This project is licensed under the Apache 2 License - see the LICENSE file for details.
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Juanma García Escobar (www.juanma.es) for his original drawings and animations
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Artur Alvarez Herrera (www.artvr.tv) for his video production
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Michael Martinez ([email protected]) for his speaking with American accent for the video
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Wildland Firefighters GRAF for their labor against wildfires in Catalonia and their inspiring message
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GRAF: Grups de Reforç d'Actuacions Forestals. Bombers. Departament Interior de la Generalitat de Catalunya. This technical support team is part of the local emergency services. GRAF is specialized in fire extinction strategies.
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GEM: Grup d'Emergències Mèdiques dels Bombers de la Generalitat.
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