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AtmoCube - IoT solution for complex air quality monitoring

Development of Internet of Things infrastructure for air sensors.
Industry
Healthcare
Geography
Portugal
Type
Web
Technologies
IoT
Project overview

AtmoCube is an indoor air quality tracker. The device’s sensors capture 20 different indicators including the levels of noise pollution, ozone, carbon dioxide, and formaldehyde that can be found in the air within a room.

All the findings can be viewed in the AtmoCube web application. The tracker helps monitor the indoor environment, keeping it safe and healthy.

The team of Atmocube prepared an extensive statement of work along with a precise mock-up, and they provided their own testing team. Emphasoft served as an implementer and managed the data intricacies of the product.

Emphasoft engagement

Our team designed an user-friendly app that provides comprehensive reporting on the air quality people breathe in their homes and office based on the AtmoCube tracker's measurements.

We implemented a finished product which benefits users' health while also providing a profit to the project's founders.

Project duration: 3 years.
Team: 5 engineers, DevOps.

Technologies used: 

  • Python Paho-MQTT as a client;
  • AWS IoT Core as a data broker;
  • Postgres database;
  • Django as a connector;
  • React for the interfaces, visualization;
  • Swift for an iOS app solution.

Delivered results:

  • Sensors connection infrastructure;
  • Platform for data collection and visualization;
  • Web dashboards and iOS application
  • Application alerting system
  • Personal Account management
  • Ability to broadcast results in real time
  • Fast conncetion and OTA updates
  • Data synchronization between the device and app
  • MQTT system
  • A notification system that alerts a user via email and their accounts when contamination levels rise
  • Developed a controlled access system grants users limited access permissions to relevant app sections based on their roles
  • The ability to download measurement results by specific time periods
Technologies:

  • Sensors connection infrastructure;

  • Platform for data collection and visualization;

  • Web dashboards and iOS application

  • Python Paho-MQTT as a client;
  • AWS IoT Core as a data broker;
  • Postgres database;
  • Django as a connector;
  • React for the interfaces, visualization;
  • Swift for an iOS app solution.
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