In week 3, I added machine learning in my project and refine my work.
Machine learning is about prediction.
The system is trying to categorize you, give information of you, sth. like, oh you’ll be , according to your / the way you wear, you are a high class person, you have potentially XX money, you will die in exceed years, trying to play a little bit with this logics, coz you should think a little bit all these things behind machine learning, the desire of soft engineers and all this mind behind tech is to actually predict the future, so it would be nice that in this tracking system you play with that, but in an absolute way, it would play with bored, it would just say things that we clearly don’t believe in, but make us smile in the way, so it could be at the same time you showing the tracking system and how this system try to control you, but how also try to predict you in the most absolute way.
Screen info
- the color your clothes
- the heights
- the time you standing still
Revise
1) The audience enters the room (ioT sensors collect information)；
2) The audience can see the information on the screen in the center,
e.g.
Someone comes in,
the person’s body temperature is 37 ℃,
the person is wearing a red T-shirt,
the person stands still for two seconds,
the person is now moved,
(take these sensors’ data for turning into text)
3) ) The audience walks to the screen and the web camera do the face detection. Add in the information collected by the sensors, and the screen displays a prediction of the person.
e.g.
you are a high class person,
you have potentiality make more money,
you will die in exceed years
…
4) When the audience leaves the room, the screen will still show “Someone left the room.”
Reference:
