Drones are transforming everything from agriculture and emergency management to national security and the delivery of goods and services. Drones take on an entirely new dimension as no
des in the emerging Internet of Things infrastructure. As replacements for stationary sensors drones expand the user's ability to collect information. Society is at the very beginning of understanding how drones will factor into tomorrow's technological infrastructure and how they will push the boundaries of what is possible.At present, drones are a very efficient data collection platform that can accomplish tasks in hours that would otherwise take people days or weeks. They can provide deeply detailed visual data for a tiny fraction of the cost of acquiring the same data by other means. Drones have become crucial in workplace safety and are being frequently deployed to implement precarious processes such as cell-tower inspections, wind turbine inspections, humanitarian deliveries, disaster relief etc.
The importance of finding a way for drones to safely coexist with manned aircrafts is growing increasingly urgent. DEEP AERO is building a harmonized framework for air traffic management (ATM) and Drone/UAS traffic management (UTM). DEEP AERO is
building an autonomous, self-governing, intelligent Drone/Unmanned Aircraft System (UAS) Traffic Management (UTM) Platform that will be able to ensure safe flights of manned and unmanned aircrafts in the shared airspace.Like the internet and GPS technologies, drones have evolved beyond their military origin to become powerful business tools.
The Deep Aero Solution
The ICO is building an intelligent, autonomous and self-governing system to manage high volume drone traffic that adheres to regulations of the jurisdiction in which the UTM (Unmanned Aircraft Systems (UAS) Traffic Management) platform has been deployed. This platform will ensure that the drone traffic does not disrupt manned air traffic. The platform will have features like dynamic geofencing, congestion management, terrain avoidance, route planning, re-routing, separation management, sequencing and spacing, and contingency management.
The platform would need to make autonomous decisions like changing routes (re-planning flight path) of drones on the fly if there's a change in airspace restrictions due to an emergency or other factors. Doing this for hundreds of drones flying in an area manually will be a nightmare. While this automatic change in flight path happens for hundreds or thousands of drones, the platform would have to ensure that these drones do not collide with each other and can automatically avoid skyscrapers and other infrastructure. The platform would also have to make contingency management decisions if there's a sudden change in metereological conditions or there's an emergency like a fire breakout in its path or the drone loses contact with the platform due to failure of sensors etc. All of this will be managed by AI. The intelligence and autonomy levels of the platform will be a function of sophistication of our AI module.
Eth Address: 0x7E676D85d45acc57A7483F3DE33BF6E87A42b10e