AI Model that can ‘read’ human minds
AI Model is a new smart computer system that watches people and tries to guess what they will do next. It was made by a research team to help make roads safer and reduce accidents in busy streets.
This system looks at what is happening around people and then gives a guess about their next step, like crossing the road or stopping. The goal is not to control anyone, but to help cars and cities react in a better and safer way.
How this AI Model works in simple words
The AI model watches people in videos, especially those who are walking near roads and cars. It studies how someone is standing, walking, turning, or looking, and uses that to guess what they might do in the next few seconds.
For example, if a person is standing at the edge of a road and looking at the traffic light, the system checks small clues:
- Is the person moving forward or staying still?
- Are they looking at the cars or straight ahead?
- Are other people around them already crossing?
By putting these clues together, it gives a simple answer like “this person will cross the road now” or “this person will stay where they are”.
What data was used to train the AI Model?
To teach this technology, the team used real street videos where many people walk near cars, buses, and bicycles. These videos include busy crossings, sidewalks, and places where someone can suddenly step onto the road.
The computer was shown many examples where humans had already marked what each person did next. Step by step, the AI model learned which signs often mean “this person is going to move” and which signs often mean “this person will wait”.
How accurate is the AI Model?
In tests, the tool was able to correctly guess people’s next moves in many difficult street scenes. Researchers found that it gives better results than many older systems that only look at simple motion.
In some trials, the success rate improved by around ten percentage points compared to other methods. This may sound small, but even a small gain in prediction can save lives when cars are moving fast and humans do not have much time to react.
Why this AI Model matters for road safety
The main reason this AI model is important is road safety. Today, many cars use cameras and sensors, but they often react only when something has already happened in front of them.
With this new system, a smart car or driver‑assist feature can react a bit earlier. If it thinks a person is about to step onto the road, the vehicle can slow down sooner, give a warning, or be ready to stop fully if needed. This may help reduce crashes at crossings and on busy streets.
Other useful ways to use this AI Model
This technology is not only for cars; it can also help in other places where many people move together. Some possible uses include:
- Crowd control: In large events, it can guess where people will move and help guide crowds more safely.
- Smart traffic lights: Signals can change based on how people are moving, not just fixed timing.
- Public spaces: In busy stations or malls, the system could help detect risky movement before it leads to pushing or falls.
Concerns and questions about such an AI Model
Any AI model that studies people’s actions raises some questions. People may worry: “Is this watching me all the time?” or “Who controls the system and the data it uses?”
Experts say that clear rules are needed so this kind of tool is used only for safety and helpful reasons, not for unfair tracking of people. There should be transparency about where cameras are, what is recorded, and how long it is stored.
Simple explanation of what makes this AI Model different
Older systems often looked at one thing at a time, like only body movement. This newer approach looks at many small details together: how people move, where they stand, what is around them, and what other people are doing nearby.
Because of this, the AI model acts a bit more like a careful human observer who does not just see, but also “understands the situation”. That is why many headlines say it is “shockingly good” at reading human minds, even though it is really reading body language and context, not actual thoughts.
Future of this AI Model
Researchers plan to test the system in more cities, different countries, and under different weather and traffic conditions. The more real‑world examples it sees, the better and fairer it can become over time.
In the future, this AI model may be part of cars, buses, traffic cameras, or even robots that move in public spaces. But along with this growth, strong rules, human control, and respect for people’s privacy will be crucial so that the technology stays a tool for safety, not a tool for harm.
