Air quality measurements wherever you need them
…where smart cities, Internet of Things, artificial intelligence and clean tech meet
Sentience – IoT Measurement Device
Benefits
- Robust data to design and drive your smart city projects – in real time
- Easy integration, installation in less than 30 minutes
- Weatherproof and protected against insects and vandalism
- High-resolution and high-frequency environmental data
- Data digitally available at any time
FEATURES:
- Measurement of O3, NO2, PM2.5, PM10 and additional environmental parameters including temperature, air pressure and humidity
- CE & EMC-certified technology
- Modular, plug & play system
- Two-stage calibration process adapted to local climatic conditions
- Digital data transfer via GSM or LoRaWAN
- Data accessible via API or on our Data Management Platform
- Individual cover design on request
Sentience Cockpit
Free Trial / Demo
Contract Period
Accounts
Public Measuring Stations Data Points
Optional Integration of Additional Data Points
(pricing depending on data type)
Dashboard
12 Months Data History Export
CSV, XLS(X)
Monthly Reports
Initial User Training
Learn more about advanced bundles
Step 1: Measurement
Our proprietary low-cost, highly reliable air quality sensors delivers high quality environmental data in real time. Across specified areas the sensors collect spatial and temporal data on pollutants and environmental conditions. This bottom-up data collected in the field provides a much higher granularity and better data coverage than the public data. We measure all critical pollutants as recommended by WHO: NO2, PM2.5, PM10, Ozone and various environmental parameters.
Step 2: Data Calibration
Hawa Dawa’s artificial intelligence and machine learning approach refines the air quality measurements delivered by our sensors: real time sensor data is cross-calibrated to ensure even more accurate measurements and eliminate cross-sensitivities.
Step 3: Data Output
The data are available via API or conveniently displayed on our Data Management Platform.
