• Indoor Air Quality Management

Applied Nanodetectors has developed an ultrasensitive home-based indoor air quality monitoring system that can detect adverse levels of pollution, identify the pollution sources, and provide actionable suggestions to help people improve air quality.

Many commercial air quality monitors lack accuracy and miss rapid pollution spikes related to everyday household activities, such as cleaning and cooking. This innovation utilizes accurate sensors and high data acquisition, to give insights into the air you breathe at home. It uses multiple sensors to measure carbon dioxide, particulate matter, volatile organic compounds, formaldehyde, temperature, and humidity.

A dedicated mobile application lets the user access real-time and historical measurements, and an online web dashboard gives complete data reviews and reports. The mobile application uses unique augmented reality visualizations to alert users and empower them to act to improve their comfort and safeguard their health. Artificial intelligence prediction models are used to identify pollution spikes found in households. The monitoring system uses machine learning techniques to analyses the sensor data to predict an increase in pollution levels accurately, alert the user and identify the potential cause.