For your Family

Infants and very young children are at extra risk for the harmful effects of air pollution because they breathe faster and their brains, lungs, and immune systems are still developing.

Breath Safe

Even though you can't see it, the air you breathe can affect your health. Polluted air can cause difficulty breathing, flare-ups of allergy or asthma, and other lung problems. Long-term exposure to air pollution can raise the risk of other diseases

Air Quality in Schools


Contributes to a favorable environment for students, performance of teachers and staff, and a sense of comfort, health and well-being.


The AQS platform will provide reliable, timely and personalized information about the air quality in order to serve the needs of each user.

Air quality data from autonomous low-cost sensors are further improve the simulated dispersion as they provide point measurements that allow the better representation of the microclimate of each area.

  • WI-FI Connectivity.

  • Cloud connectivity over MQTT.

  • WI-FI ad-hoc configuration with Android App.

  • O.T.A. (Over The Air) Programming.

  • Sample rate (2 minutes).


 is an air quality monitoring and forecasting device, which involves multiple sensors for different pollutant detection. 

O3 (0 to 5ppm) VOC. CO (0 to 1000ppm)

Temperature Humidity Pressure

Measurements of air pollutants from low cost sensors (IoT sensor network)

PM2.5 PM10(0 to 1000μg/m3) NO2 (0 to 5ppm)

AQS Scenarios

What can you do with AQS?

Understand the effects of air pollution on your health

To be informed about the levels of air pollution in your area

Receive specific warnings according to your activities in order to safeguard your health

Monitor air quality with your own sensor

Smart Collectors

The development of the AQS IoT Platform was based on Prisma
Electronics’ PrismaSense™ system, which was redesigned to measure the
concentration of 6 atmospheric pollutants: carbon monoxide (CO), nitrogen
dioxide (NO2), ozone (O3), nitric oxide (ΝΟ) and particles with a diameter
2.5μm (PM2.5) and 10μm (PM10).

Τhe data received from the autonomous sensors are collected by a
microcontroller, which after processing sends them wirelessly to a central
server ( ). The module is an ultra-low power, mixed signal microcontroller
with a dual core 32-bit RISC CPU running at 160Mhz to 240Mhz and
incorporating a 512KB RAM memory. Figure 3 depicts the two sides of the
board. The system can be powered by either battery or USB. The battery
can also be charged via USB.

Easy access from any device

  • Android
  • iOS
  • Windows
  • Linux

Software Application

An Application Programming Interface (API) was developed on the air quality platform for receiving datasets from the Smart Collectors, storing
them in a database and sending them to a web and mobile application.

The collected information is displayed in near real time and in high spatial
and temporal resolution. Simplified air quality indices are provided to
citizens along with personalized recommendations on how they can protect their health from air pollution. It is expected that the collected data will also enable the identification of air pollution trends that may lead to policy changes and, in longer term, to behavioral change.

PrismaSense IoT

Web Application




Dual Core Xtensa 32-bit LX6 / 160 Mhz to 240Mhz

Memory RAM

512 KB

Primary Wireless Communication

WiFi 802.11 b/g/n

Secondary Wireless Communication


Sensor communication

3x UART, 1x I2C

Microprocessor supply voltage

3V to 3.6V (typical 3.3v)

Power supply voltage

4.1V to 6.6V (USB supply)

Programming and debugging interface

4V to 5.25V (USB bus powered)

Temperature range

-40°C to 85°C








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