The Problem:
The problem is: hundreds of thousands of people die outdoors every year before rescuers can reach them.
Current rescue teams spend ten minutes creating each search plan, which are static plans. A static plan becomes obsolete when new drones or humans arrive to help
In addition, our emergency services do not yet have the ability to call on the thousands of nearby drones to assist complete a search plan effectively.
Solution: Drone Pilot Command & Control Network
Our mobile app uses our Command & Control Network to enable rescuers to coordinate nearby drones into a single search team. Our patented search pattern is mathematically the most efficient search and outperforms all existing patterns for certain types. Our framework generates reactive search plans in real time, providing complete 3D terrain coverage and preventing collisions in the same way that air traffic controllers allocate airspace.
In addition to the initial drones from one rescue team, the network notifies nearby drone pilots of an ongoing search and invites them to join the team with their own drone. Each pilot receives a unique trajectory to follow, updated in real time.
We also provide automated image recognition for all incoming drone video feeds.
Why it’s considered novel:
Mathematically Optimized Coverage Trajectories, Not Guessing Methods:
Previous drone research rely on static grid sweeps or an AI guessing method. ClearCast computes efficient coverage paths over 3D terrain. This patented technology could save thousands of lives. When a child going missing outdoors, emergency dispatch could call on local drones from surrounding areas to search effectively over varying terrain, enabling the child to be found in minutes instead of hours.