Making the
Invisible, Visible
Real-time intelligence to detect, predict, and prevent toxic water pollution caused by illegal mining.
GalamSey is a crisis
Ghana's rivers show brown, turbid water from galamsey (illegal mining), but the real danger isn't the mud—it's the invisible neurotoxins: mercury, lead, and arsenic.
These heavy metals cause birth defects, cognitive disorders, and maternal mortality. Communities drink and farm with toxic water because they can't see when toxicity spikes, and current monitoring is manual, slow, and reactive—by the time EPA tests a sample, the damage is done.
Source: JoyNews GH
Invisible Neurotoxins
The brown mud is a distraction. The real danger is invisible mercury, lead, and arsenic causing birth defects and cognitive disorders.
The Toxic Flush
Heavy rains wash concentrated mining chemicals into village water sources, creating lethal toxicity spikes that go completely undetected.
Reactive Monitoring
Current monitoring is manual and slow. By the time a laboratory tests a water sample, the toxic plume has already poisoned the community.
GalamSense, The Water Sentinel
A network of autonomous, solar-powered IoT buoys that act as 24/7 sentinels in the water.
Solar Powered
Harvests energy for 24/7 autonomous sensing
Electrochemical
Lab-grade molecular analysis of neurotoxins
Edge Intelligence
Driven by ADuCM355 and ESP32-S3 processing
GalamCast AI
Satellite fusion for predictive risk forecasting
Ground Truth
Validates satellite data to confirm actual toxicity
Toxic Flush
Predicts pollution events before they hit villages
GalamCast
The Eye in the Sky
What It Is
A predictive Deep Learning model adapted from deforestation algorithms (ForestCast), analyzing optical and radar imagery from Sentinel-1 and Sentinel-2 satellites.
Detects spectral signatures of illegal mining: sudden vegetation removal and water discoloration
Forecasts where mining is expanding before pollution hits the river
Shifts EPA from chasing damage to preventing it
Climate Intelligence
Integrates rainfall and climate data to predict "Toxic Flush" events.
Example Risk Forecast
"This rainstorm will wash heavy metals into Village X's water source within 2 hours."
The Validation Loop
Unlike competitors who rely solely on satellites (often wrong about toxicity) or manual sampling (too slow), we combine both.
Satellite-Only Systems
See brown water but can't distinguish mud from toxic mercury
Manual Sampling
Accurate but too slow to prevent exposure
Our Ground-Truth Validation
GalamSense buoys provide ground truth to confirm toxicity in real-time
Mutual Reinforcement
Sensor data trains the AI to get smarter
Every detection validates the satellite model
Fewer false alarms, unmatched credibility
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