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IoT Environmental Monitoring System
IoTMachine LearningComputer Vision

IoT Environmental Monitoring System

Environmental6 months

The 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.

The Solution

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.

Technology Stack

LoRaWANTensorFlowYOLOInfluxDBGrafanaPythonReact DashboardAWS IoT

Results

Monitoring Coverage

24/7 automated

Data Collection Points

15x increase

Wildlife Identification Accuracy

91%

Early Warning System

2-5 days advance notice

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