
We are building a remotely monitored, simple to install, piece of hardware that gathers environmental data and uses machine learning to identify hazards, including humans, that may be present at a drone landing site before a flight is even scheduled. We can generate optimal delivery windows and we can help mitigate the risk of human collision during delivery. Drone operators currently have no idea what’s going on at the intended delivery location until their drone actually gets there. We will know what is happening in real-time at all times at the landing site.

We are building a remotely monitored, simple to install, piece of hardware that gathers environmental data and uses machine learning to identify hazards, including humans, that may be present at a drone landing site before a flight is even scheduled. We can generate optimal delivery windows and we can help mitigate the risk of human collision during delivery. Drone operators currently have no idea what’s going on at the intended delivery location until their drone actually gets there. We will know what is happening in real-time at all times at the landing site.
Product: Hardware + ML system that monitors drone landing sites for environmental hazards and humans
Key capability: Real-time site monitoring and hazard identification before flights
Team size (reported): 1 employee
Reported funding: 70,000 USD (last reported 2019-11-27)
Pre-flight site awareness and safety for drone deliveries
70000.00