The Flyingcarpet MVP was developed in 6 weeks time and tested in three different industries. Drones were selected for the first proof of concept to illustrate the potential, however in the future the AIR.network will enable any data-collecting IoT devices.
Hardware owners connect their IoT devices to the AIR.network and are compensated via a cryptoeconomic model when their devices are used to complete tasks. The first IoT devices on the network are drones and Flyingcarpet, the first decentralised charging and docking station for air space, which uses renewable energy to wireless charge drones.
The Virtual Artificial Intelligence Engine (or VAIE) is used to validate new services before they enter the platform. Developers submit their builds into the engine, which then plays out the algorithms in a 'game', checking to see if all tasks are carried out safely. After this, a group of human validators are notified to double-check that security measures are passed, adding further layers to security.
Services on the AIR.network are built by 3rd party developers via open-source smart contracts leveraging the AIR.network token. Black boxes (Machine learning algorithms) are pushed into the Virtual Reality engine for testing before being used by the network as autonomous tasks.
Businesses can use the AIR.network app to have access to different services that require an autonomous drone. For example: inspection of coconut palm trees, rooftop analysis, thermal imaging for buildings and houses, transportation, biomass analysis of crops, etc.