Your Social Media POV Videos Are Used To Train AI

The videos you are posting online on social media are used to train AIHumans will be at the centre of training robotic systems for autonomous purposes.It has been reported by some media outlets that Meta Is Training Its AI on Your Analyzed Ray-Ban Smart Glasses Images and videos, and this is what AI Training companies could be doing on your POV videos that you are posting on social media accounts as well. The video you just uploaded on social media is no longer just a post, but its data that they can use to train artificial intelligence robotic systems.How Computers Understand Video Data?In the computer world, a video is understood as a 3D-projection of a scene from a sequence of an observer's Point Of View (POV), from a video camera position, where data can be extracted, and the position is what provides a link between pixels and geometry, which is the kind of data that Artificial Intelligence can learn perfectly.Robotics navigation training largely depends on what we call Simultaneous Localization and Mapping. Which is the process used by autonomous robots, drones, and self-driving cars to map an unknown environment while simultaneously tracking their exact position within it to localize themselves and reason about their own motion.Video Camera POV’s help robotic development companies to be able to train the visual coordination of their robots, to achieve human-accurate mobile navigation, through the camera position. An example to explain all of thisTo explain this, we are going to use a very simple example. Consider a person walking in a hall, and they come accross and object, that person then looks down to avoid a collision with that object. The same video can be used for collision detection and avoidance when it comes to robotics training. Currently, we usually see videos of robots that collide with objects trending online because the robot was looking up when it was moving instead of being aware of the objects that it might collide with while it's in motion. POV videos from any device are data-rich for the purpose of training robotic AI systems for navigational purposes. It is pretty much clear that the automation race is going to be won by people who have a chunk of this data, such as your social media companies like Meta.An Image Representation Of Robotic Navigation Using Camera Positions - Source https://arxiv.org/pdf/2605.22819It Can Even Get WorseThe so-called smartphones that we are using collect a lot more data about us than we know; some have even connected them with health apps that track our weights, movements, and other mobile-related parameters. What will happen if that data can be secretly embedded in each of the POV’s videos posted online? That means the robotic companies can get more than just navigation spatial data, but the movement estimation based on the weight of the object, its speed, etc. There's a lot of data we are giving away to AI companies that we know. How do we think the future of Robotics is going to look?Currently, household robotics that are going to help with chores are being developed by different research labs, but the initial releases will not be just plug-and-play. Instead of a robot that is going to be able to do your chores by default, we predict that the configuration process will be more involved at first; it will take a human to walk through the environment in which the robot will operate, loading in-house blueprints and plans to the operating system of the robot to get navigational data. Then, a POV map of the user performing the chores, allowing the robot to mimic the movements of the owner at a later stage, will be the initial approach that will be used until a breakthrough configuration process is discovered. Given the current trajectory, we think we will first see robots being efficient for smaller operational environments, such as a standard-sized house, and then a move to more complicated environments, like hotels and villas, will be made.Next time, when you post a POV online, just know you might be providing training data for AI.

How Computers Understand Video Data?

In the computer world, a video is understood as a 3D-projection of a scene from a sequence of an observer's Point Of View (POV), from a video camera position, where data can be extracted, and the position is what provides a link between pixels and geometry, which is the kind of data that Artificial Intelligence can learn perfectly.

Robotics navigation training largely depends on what we call Simultaneous Localization and Mapping. Which is the process used by autonomous robots, drones, and self-driving cars to map an unknown environment while simultaneously tracking their exact position within it to localize themselves and reason about their own motion.

Video Camera POV’s help robotic development companies to be able to train the visual coordination of their robots, to achieve human-accurate mobile navigation, through the camera position.

An example to explain all of this

To explain this, we are going to use a very simple example. Consider a person walking in a hall, and they come accross and object, that person then looks down to avoid a collision with that object. The same video can be used for collision detection and avoidance when it comes to robotics training.

Currently, we usually see videos of robots that collide with objects trending online because the robot was looking up when it was moving instead of being aware of the objects that it might collide with while it's in motion.

POV videos from any device are data-rich for the purpose of training robotic AI systems for navigational purposes. It is pretty much clear that the automation race is going to be won by people who have a chunk of this data, such as your social media companies like Meta.

It Can Even Get Worse

How do we think the future of Robotics is going to look?