We all associate the air quality in schools with improved student concentration, but monitoring the optimal level also has other benefits such as: preventing respiratory or cardiovascular diseases, and also preventing the worsening of asthma.


By identifying and regulating levels of ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO), which are the most prevalent air pollutants, IoT systems enable schools to provide classrooms where air quality is substantially improved by filtering these pollutants.

For this client, air monitoring systems were implemented based on differentiated sensors for each component of the air, thus allowing a total customization of air quality, based on automatically generated reports. These intelligent algorithms for collecting and scanning data, which otherwise vary constantly depending on environmental factors, compare the optimal oxygen levels in the classrooms with the current ones, in order to propose automatic optimizations, transmitted directly to the central server or uploaded to the pre-established cloud.