FlytBase Inc., the company bringing intelligence and connectivity to the drones, today announced the release of an automated precision-landing solution, FlytDock – the world’s smartest visual target landing solution, compatible with the widest range of drones.
Precision landing is a critical requirement for a large number of commercial drone applications, be it autonomous routine patrols for security & surveillance, package delivery at multiple locations, remote inspections using docking stations or a GPS-denied environment like a warehouse. It is one of the key components for automating and deploying drone operations at scale.
GPS alone is not accurate, IR beacons get affected by surrounding conditions and require power on the landing site, RTK-GPS is complex to set up, requires additional infrastructure and it still does not give the desired results.
FlytDock enables the drone to precisely align and land itself on the site with a centimeter-level accuracy. It works across conditions; whether it is landing in day or night, outdoor or indoor (GPS-denied) environment, on a ground-level or elevated platform, or even on a moving or floating (in water) platform. Powered by FlytOS, this intelligent plugin utilizes computer vision techniques and dedicated landing algorithms to precisely align, approach and land the multirotor on a visual marker on the ground. There is no infrastructure/electronics required on the landing site, making it easy to deploy at scale. Further, the system can be remotely managed and controlled over cloud (4G/LTE).
Nitin Gupta, CEO of FlytBase, commented, “At FlytBase we are building the core software platform for automating and scaling enterprise drone applications. Precision-landing is an essential component for the success of several such autonomous deployments. With FlytDock, we have been able to assist our customers looking for a robust and reliable solution for precision landing on docking/charging stations, for security, delivery and inspection applications.”
FlytDock is readily compatible with DJI Enterprise, Ardupilot, and PX4 based drones.
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