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The Roof Is on Fire?

Theodore Vorillas
Theodore Vorillas
Proxima Analytics
This talk is scheduled for Nov 21, 20:45
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The devastating wildfires that ravaged Europe in 2023, burning an area the size of London, highlight the urgent need for improved fire detection and reporting systems at scale. 

In this talk, we will explore how JavaScript and widely available electronics can be combined to create a low-cost, cheap and effective wireless fire detection system. We will deploy this system in a wild forest in Greece and utilize AI models to predict where the next blaze could be sparked.

This talk has been presented at JSNation US 2024, check out the latest edition of this JavaScript Conference.

FAQ

The device is designed to monitor areas and alert authorities if a fire starts. It aims to provide an immediate response to wildfires by alerting and deploying aerial or ground units to avoid disasters.

The ESP32 is chosen because it's a low-cost, low-power controller with Bluetooth low energy and Wi-Fi capabilities, making it suitable for large-scale deployment in remote areas.

The device uses sensors such as a flame sensor and a gas sensor to detect infrared changes and various gases, which can indicate the presence of a fire.

Code for the microcontroller can be written in C, C++, Python, or JavaScript. The DeviceScript framework, a TypeScript-first framework, is used for development.

AI is used for failure forecasting to predict device failures and for environmental monitoring by analyzing sensor data to predict changes in humidity and temperature.

The device network can be expanded using a mesh network topology, allowing devices to communicate as a cluster and cover larger areas by spreading out.

JavaScript is event-driven, making it suitable for IoT applications which are often event-based. It also allows for code reuse across different devices and platforms.

The device is solar-powered and runs on batteries, allowing for deployment in remote areas without relying on external power sources.

The device can be extended with LoRa modules for long-range communication, and additional sensors or modules for various environmental monitoring and emergency communication needs.

Currently, predicting wildfires before they happen is challenging due to multiple unpredictable factors, but research is ongoing to develop models that may achieve this in the future.

browser apicase study
Theodore Vorillas
Theodore Vorillas
21 Nov, 2024
Video transcription, chapters and summary will be available after the recording is published.
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