Until now there has been a struggle between those who defend privacy (as is my case) and those who advocate having surveillance cameras to monitor what is happening in our environment.
It is true that the greater the number of cameras on our streets, better we know what happens in them, and we can obtain important data to make life easier for people.
But it is no less true that our privacy is called into question, and in many cases we lose it completely.
Today there are tens of millions of cameras around the world and they are very useful in a large number of applications. It is about combining that utility and at the same time maintaining the privacy of people.
And that is what MIT researchers have done with a new system called Privid , which is capable of obtaining statistical data from the videos obtained by the cameras, without revealing the identity of the people.
The researchers have added certain levels of "noise" that are automatically placed on people's faces, so they cannot be identified.
In the tests carried out with Privid, they have obtained between 70 and 99% of the information of the desired data without affecting the privacy of the people.
Of course, by modifying the noise levels applied, the data obtained is also modified. Depending on the desired application, the noise levels to be applied are adjusted.
This is not a panacea, but rather one more step in the right direction to have applications that make our lives easier and not lose our privacy.
I am sure that many people will continue to take steps in this good direction.
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