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PRJ / 07 · Edge AI sensing
LoRa Mesh Landslide Early-Warning System
Solar-powered field nodes combine geotechnical sensing, on-node TinyML anomaly detection, and multi-hop LoRa alerts for landslide early warning.
01 / Overview
A distributed early-warning system designed to classify ground-movement events at remote field nodes and relay actionable alerts.
Objectives
- Acquire ground-motion and soil-condition data
- Classify anomalous events locally
- Relay multi-hop alerts to an external notification pipeline
My role
[Add your exact role, ownership, dates, and collaborators.]
02 / Problem
Remote landslide-prone areas need continuous multi-sensor monitoring and dependable alert delivery despite limited power and connectivity.
03 / System architecture
01MEMS IMU and soil sensors
02Solar-powered field node
03LoRa mesh / LoRaWAN gateway
04SMS / MQTT alerts
Hardware
- MEMS IMU
- Soil-moisture and pore-pressure sensors
- Solar-powered sensor nodes
- LoRa gateway
Firmware / software
- Multi-sensor acquisition
- On-node TinyML anomaly detection
- LoRa mesh relay logic
- SMS / MQTT alert pipeline
04 / Development process
Process
[Add prototype, field-test, and model-development details.]
Challenges
[Add power-budgeting, environmental, networking, and model-validation challenges.]
05 / Results
The CV records multi-hop LoRa alerts over more than 5 km. [Add test conditions and verified deployment status.]
06 / Image gallery
IMAGE / 01[Add prototype photograph]
IMAGE / 02[Add detail photograph]
DIAGRAM / 01[Add architecture visual]
Technologies used
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