Apple plans to use drones to improve the company’s Maps offering. But can this ambitious plan really work?
Oporto, nov. 11 2016
The study by researchers at the University of Cagliari related to the algorithms of Categorization and Matching for drone-based services has been presented to the international scientific community in Oporto, during the 8th International Conference 3K IC 2016: Knowledge Discovery, Knowledge Management, Knowledge Engineering,
by prof. Simona Ibba and Philip Eros Pani, Department of Computer Science and Electronic Engineering of the University of Cagliari.
The algorithm is currently implemented in its first commercial application in DroneShare.club platform, one of the first Drone-as-a-service European, created by the Sardinian startup Sulcisdrone.
Not just picture taking, video shooting or data collection: drones are now also used for air analisys. Through sophisticated sensors, it is possible to detect presence of a large number of substances, with a live analytics data feedback from the drone itself, or by sending the raw data to a base station to perfom its magic. There are obviously constraints, mainly dictated by the sensor technology that still is not as accurate as it should be (hopefully a revolution will be brought by recently developed graphene sensors).
The turbulence created by the propellers it’s another issue that impose some limits, that will be overcome with time.
An interesting experiment was carried out in Poland: http://fpv.tv/mobile-platform-for-monitoring-selected-parameters-of-low-emissions/
and in Italy by the FlyingNose project:
A worldwide phenomenon is quickly spreading in the drone community: Fear
Drone technology is expected to boost the aerial photography industry by 12.9 percent over the next six years, according to market research.
The same research, however, indicates that growth is restricted by government regulations. Based on its recent study, Allied Market Research estimates that aerial imaging will be a $2.8 billion industry worldwide by 2022.