Clients / Environmental Research Institute
EnvironmentalEnvironmental Research Institute
IoT Environmental Monitoring System
24/7 automated
Monitoring Coverage
15x increase
Data Collection Points
91%
Wildlife Identification Accuracy
2-5 days advance notice
Early Warning System
Challenge
The institute needed to monitor air quality, water quality, and wildlife patterns across a 500-square-mile area but lacked the resources for continuous manual monitoring.
What we built
We deployed a network of IoT sensors and camera traps across the research area, connected via LoRaWAN. The system uses computer vision to identify and count wildlife species, and machine learning models to predict pollution events and ecological changes.
Engagement
- Client
- Environmental Research Institute
- Industry
- Environmental
- Timeline
- 6 months
Stack
LoRaWANTensorFlowYOLOInfluxDBGrafanaPythonReact DashboardAWS IoT
#IoT#Machine Learning#Computer Vision
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