A trial of parcel deliveries by drone will be kicked off by Australia Post next year. Image Credit: AllureMedia
A trial of parcel deliveries by drone will be kicked off by Australia Post next year. Image Credit: AllureMedia

Drones have been in existence since the 1900’s and till today, businesses are increasingly using drones for things like; product delivers, video and photo captures, inspecting rooftops or power lines, military and so forth – raising the risk of in- flight mechanical and software problems that could put people below in danger.

Well! according to online reports, Washington D.C based aeronautics and aerospace research firm; National Aeronautics and Space Administration (NASA) has its scientists that have developed a new software that will help drones automatically spot the best places to crash-land in case of an emergency, without hurting anyone on the ground.

With the increasing numbers of drones in the sky has raised the risk to people and property below being hit when these unmanned aerial vehicles develop mechanical problems. This will come to an end as Patricia Glaab, Aerospace Technologist at NASA Langley Research Center, and her colleagues develop a crash-landing software for these unmanned aerial vehicles.

According to the reports, eight different test flights were carried out to see if the software worked as expected, and the results that turned out, showed that the technology successfully spotted safer landing sites such as swamps or drainage ditches to crash instead of cars or people on the ground.

The Fortune website reported that the software links on-board drone components like batteries and motors to monitor their health. The technology identifies when something on the drone goes wrong, and puts the drown in a crash-landing mode.

Patricia in a statement said, when triggered, the software checks a pre-installed database of nearby safe zones that it can then pilot itself towards, and also incorporates technology that lets drones recognize and avoid objects on the ground using on- board cameras.