There are several main features acting as the foundation of drone technology.

Drones often come pre-equipped with technology such as navigation systems, cameras, GPS, and programmable controllers for automated flights.

But, when it comes to drones, it’s often less about flight capabilities, and more about the payloads they carry. Whether hi-resolution cameras, thermal imaging  sensors, Lidar sensors, or anything else, these payloads are really at the heart of any drone operation.

Without them, these flying machines are just that – flying machines. The sensors they carry, however, remain critical to capture the data you’re looking for.

Here’s where the aforementioned  computer vision comes into play.

Like machine learning, computer vision is just another subsection of AI drone technology. The key thing here, however, is that computer vision uses digital images, videos, and other visual data to extract meaningful information.

It relies on these visual inputs to make recommendations or take appropriate actions.

Computer vision in drones deciphers and analyzes the surrounding area.

As machine learning technology & other facets of AI has improved, the drone industry recorded drastic changes, as generating algorithms and annotating tools became more efficient.

With these, many drones can now automatically detect and choose the right directions for flying safely.