Predict Wildfires
Before They Happen
Our IoT-based system combines real-time environmental sensors with machine learning to detect wildfire risks before ignition occurs. Protect forests, wildlife, and communities with early warning technology.
Advanced Technology for
Wildfire Prevention
Our comprehensive system combines multiple sensors, AI analysis, and real-time monitoring to provide the earliest possible wildfire detection.
AI-Powered Analysis
Machine learning models analyze sensor data and images to predict wildfire risk with high accuracy.
Visual Detection
Onboard ESP32-S3 cameras detect smoke and flame signatures, reducing false alarms from haze or dust.
Environmental Monitoring
Track temperature, humidity, air quality, soil moisture, and combustion gases in real-time.
Instant Alerts
Automated notifications for high and critical risk conditions sent directly to fire departments.
Risk Dashboard
API-driven web portal displays live telemetry, device locations, and 24-hour risk trends.
Geo-Tagged Data
Every sensor reading includes precise location data for accurate forest-wide risk mapping.
GSM Connectivity
Reliable data transmission via GSM modem ensures connectivity even in remote forest areas.
Solar Powered
Sustainable solar-powered design ensures continuous operation without external power sources.
How Forest Box Works
A seamless workflow from data collection to actionable alerts, designed to protect forests and communities.
Data Collection
Tree-top mounted sensors (DHT11, MICS4541, PM2.5, soil moisture) collect environmental data along with camera images every 20 minutes.
Data Transmission
The ESP32-S3 node transmits geo-tagged data to our central server via GSM modem, ensuring reliable connectivity in remote areas.
AI Analysis
Our machine learning model analyzes all sensor data and images every 30 minutes to calculate wildfire risk scores.
Risk Classification
The system classifies areas as Normal, Medium, or Critical based on threshold logic for humidity, temperature, and gas levels.
Alert & Response
If any area shows high risk, fire officers are immediately notified through the dashboard portal for timely intervention.
Sensor Threshold Chart
Our multi-sensor approach monitors various environmental factors to accurately classify wildfire risk levels.
| Sensor | Low Risk | Medium Risk | High Risk |
|---|---|---|---|
| Temperature | < 30°C | 30–35°C | > 35°C |
| Relative Humidity | > 40% | 20–40% | < 20% |
| Soil Moisture | > 40% (moist) | 20–40% | < 20% (very dry) |
| PM2.5 (Air Quality) | 0–50 μg/m³ | 50–100 μg/m³ | > 100 μg/m³ |
| Gas Sensors | Stable baseline | Slight rise | Sharp rise |
| Camera | Clear image | Haze/cloud | Smoke/flame detected |
Sensor Specifications
DHT11
Monitors ambient temperature and relative humidity levels
MICS4541
Detects CO, NO₂, VOCs, H₂, NH₃, CH₄ combustion gases
PM2.5 Sensor
Measures particulate matter concentration in the air
Soil Moisture
Monitors soil dryness which indicates fire susceptibility
BME280
Tracks atmospheric pressure changes for weather patterns
ESP32-S3 Camera
Captures images for smoke and flame signature analysis
The Wildfire Crisis
Wildfires are among the most destructive natural disasters, causing billions in damages and displacing millions worldwide. Early detection is crucial.
Of U.S. wildfires are initiated by human activities
Average forest area destroyed by wildfires each year
Economic cost of wildfires in property and resources
Forced to evacuate due to wildfire threats yearly
Faster Detection Than Satellites
Ground-based sensing achieves faster and more localized detection than satellite imagery, which suffers from revisit delays and canopy cover limitations. Our IoT solution provides real-time data from within the forest, detecting risks before they become visible from space.
Our Mission: A Fire-Safe Future
Forest Box represents our commitment to protecting our planet. By combining IoT technology with machine learning, we aim to prevent wildfires before they devastate ecosystems, communities, and wildlife habitats around the world.
Environmental Impact
Protect millions of acres of forests and preserve biodiversity for future generations.
Community Safety
Early warnings save lives and protect homes in fire-prone regions worldwide.
Sustainable Solution
Solar-powered and eco-friendly design ensures minimal environmental footprint.
A Project Submitted to
The Earth Prize 2026
Innovating for a sustainable tomorrow