drones
Reuters

Autonomous Drones are the new buzz in the tech world as the possibilities are endless with this technology.  A drone that can fly on its own with the help of artificial intelligence could be massively popular, especially in businesses, entertainment, and personal use.

However, most of the drones till date are remote-controlled and therefore, have to be manned always while in use. However, two start-ups have announced that they are close to developing drones that are indeed capable of flying all by themselves, without manual controls.

Skydio and Exyn are the two companies that claiming to be creating drones that can autonomously figure out its own flying path without crashing or dropping from the sky. Both the companies are incorporating AI technology to operate the drones.

Adam Bry the young entrepreneur of Skydio believes that there is huge potential for AI-powered autonomous drones in today's market, as it's the only thing missing right now and he intends to capture that market space, reported iTechPost.

Using deep learning technique, like Google's use of the system, the start-up can power image search feature of drones to help identify and track people against their background. According to Technology Review, this capable machine vision will help drones keep track of their targets while avoiding potential obstacles.

According to iTechPost, this automated technique could give these machines better flying capability and increase its usefulness and dependability. However, Bry admitted that their first product isn't yet perfect, citing that machines can also have trouble telling two people apart.

As reported by TechCrunch, Exyn has shown in their demo video a drone that flies autonomously, even in dark, obstacle-filled environments or beyond the reaches of GPS. It aims to further develop the use of sensor fusion to give drones situational awareness much like a human being.  

The founder of the company has, however, said that the system for AI-powered drones uses an even more complex circuitry than for self-driving cars or ground-based robots, reported iTechPost.