Real-Time Big Data-Based Wildfire Monitoring System
Builds an active real-time wildfire monitoring system using AI-based wildfire detection
information from intelligent wildfire monitoring cameras and existing CCTV footage.
| Category | Specification |
|---|---|
| RAM | 1GB RAM LPDDR2 SMRAM |
| CPU | Broadcom BCM2837B0 64-bit ARM Cortex-A53 Quad Core Processor SoC running @ 1.4GHz |
| Communication | 4G LTE |
| Input Voltage | 5V 2.5A |
| Resolution | RGB: 6MP, IR: 2MP |
| Field of View | H : 30°, V : 45° |
| Frame Rate | 10FPS |
| Data Throughput | 1FPS |
| Detection Range | Up to 2 km (based on 1㎡ of detected area) |
| Performance Certification | Flame detection response within 10 seconds, smoke detection response within 10 seconds |
| Water/Dust Resistance Rating | IP67, IK10 |
It is crucial to quickly understand where the wildfire is spreading and what impact it will have by identifying the detected ignition source.
Fire-BRAIN builds a foundation that can generate spread prediction information up to 6 hours ahead and provide detailed information on potential impacts.
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Fire-BRAIN utilizes weather information that best fits local characteristics by processing numerical weather forecast models provided by the Meteorological Agency.
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Fire-BRAIN provides the most detailed prediction range for wildfire spread by including detailed terrain and fuel information.
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Fire-BRAIN displays the direction and extent of wildfires up to 6 hours ahead in 100m high resolution.
Fire-BRAIN produces rapid information for infrastructure protection and wildfire response using spread prediction data.
In addition to optimal infrastructure protection information, it preemptively provides evacuation routes for nearby residents through SNS to ensure safe response.
Verified system built in Gangneung City through the 2020 Ministry of the Interior and Safety’s public project (EcoBrain Co., Ltd. / Kangwon National University)
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Includes detailed population data and building area, providing the most detailed information on potential impacts with a wildfire impact inventory.
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Each simulation applies field command center locations, evacuation routes, and key facility defense algorithms to accurately calculate impact ranges.
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Field reports can be automatically distributed to relevant departments via KakaoTalk, and evacuation information can also be provided immediately via KakaoTalk or SNS.