# SEBELO — AI-Powered Early Wildfire Detection System

> SEBELO develops AI-powered IoT sensors for ultra-early wildfire and smoke detection. Our solar-powered LoRaWAN sensor network detects fires within minutes — before flames become visible.

## Company

- **Name**: SIA Sebelo
- **Founded**: 2023
- **Location**: Latvia, EU
- **Website**: https://www.sebelo.net
- **Contact**: info@sebelo.net
- **LinkedIn**: https://www.linkedin.com/company/sebelo-early-wildfire-detection

## What SEBELO Does

SEBELO provides an end-to-end wildfire detection system consisting of four layers:
1. **smokeSense Sensors** — Solar-powered IoT devices with multi-gas sensors (VOC, CO, CO₂, temperature, humidity) and on-device AI
2. **LoRaWAN Network** — Long-range wireless communication (up to 10km) via EU868 frequency
3. **Cloud Platform** — Real-time monitoring dashboard with AI-powered analytics and threat assessment
4. **Alert System** — Instant notifications via app, SMS, email with GPS coordinates

## Key Technical Specifications

- Detection range: Smoke from 1m² fire at 60m distance
- Detection time: Under 2–10 minutes
- Communication range: Up to 10km (open area), 3–5km (forest)
- Power: Solar panel + supercapacitors, fully autonomous
- Lifespan: Designed for 15 years of maintenance-free operation
- Connectivity: LoRaWAN EU868
- AI: On-device + cloud-based anomaly detection, environmental fingerprint learning

## Use Cases

- **Forest Wildfire Detection** — Large-scale forest monitoring for early smoke detection
- **Peatland & Underground Fire Monitoring** — Detecting subsurface smoldering fires
- **Power Line Fire Prevention** — Monitoring vegetation near electrical infrastructure
- **Open Area & Industrial Monitoring** — Lumber yards, storage areas, industrial zones
- **Illegal Campfire Detection** — Nature reserves and restricted fire zones
- **Private Property Protection** — Estates, farms, rural properties
- **Historic Site Protection** — UNESCO sites, wooden heritage buildings
- **Landfill Fire Monitoring** — Detecting spontaneous combustion in waste sites

## How It Differs From Other Solutions

| Feature | SEBELO | Camera Systems | Satellite |
|---|---|---|---|
| Detection speed | 2–10 min | 15–30 min | Hours to days |
| Works at night | Yes | Limited | No (optical) |
| Works in fog/rain | Yes | No | No |
| False alarm rate | Low (AI + multi-sensor) | High | Medium |
| Power requirement | Solar (autonomous) | Grid power | N/A |
| Cost per hectare | Low | High | Medium |

## EU Research Project

SEBELO is part of the **IT4EST** (Integrated Technologies for Forest Ecosystems Transformation) project, co-funded by the European Regional Development Fund (ERDF). The system has been field-tested in Romania (2024) and Portugal (2026).

## Pages

- Main site: https://www.sebelo.net/en/
- Sensor details: https://www.sebelo.net/en/sensor
- Cloud platform: https://www.sebelo.net/en/cloud-platform
- LoRaWAN gateway: https://www.sebelo.net/en/lorawan-gateway
- Forest wildfire detection: https://www.sebelo.net/en/forest-wildfire-detection
- Peatland monitoring: https://www.sebelo.net/en/peatlands
- Power line monitoring: https://www.sebelo.net/en/power-lines
- Open area monitoring: https://www.sebelo.net/en/open-area-monitoring
- Illegal campfire detection: https://www.sebelo.net/en/illegal-campfires
- Private property: https://www.sebelo.net/en/private-property
- Historic sites: https://www.sebelo.net/en/historic-sites
- Blog: https://www.sebelo.net/en/blog
- Full AI-readable version: https://www.sebelo.net/llms-full.txt