Why did San Francisco become the first city in the world to ban facial recognition?

This is because facial recognition may have been abused by some of their criminals.

Maybe it's because the United States rejects this kind of function, so it must be implemented.

This is because San Francisco, USA, knows that facial recognition can bring great danger.

This is because Americans are more concerned about protecting their privacy.

Publish the home address of the cadre and send it to us!

He pursues his privacy and freedom, and you are proud of your safety and ......Just go your own way!

Because they will fear that facial recognition will invade their privacy.

Because I pay more attention to personal privacy, I want to protect personal privacy.

Because face recognition technology may bring inconvenience to many human beings, as well as the danger of privacy.

San Francisco, California, became the first city in the United States to ban the use of facial recognition technology by police officers due to concerns about invasion of privacy, which has caused controversy in the region, with some fearing that crime will rise once the technology is banned.

Americans also care too much about human rights and freedom, and they can't talk about it at every turn.

Life is precious, love is more valuable, if it is freedom, both can be thrown.

Because Americans are more concerned about personal privacy.

Because facial recognition technology can invade personal privacy.

Because ** is not afraid of being overthrown by the people, and believes that there must be more good people than bad people.

Because ** is not afraid of being overthrown by the people, and believes that there must be more good people than bad people. This one? It's really kind of interesting.

Face recognition needs to enter face and various data, and they are very sensitive to this aspect.

In fact, face recognition technology is against morality.

This technology actually violates the privacy of others.

The new technology is now fully used to monitor the common people, who are afraid that the chair will be unstable.

Isn't it that the system adopted by the United States is really backward and has "face blindness".

Because the United States ** peaceful civilian is a set of laws.

In May 2019, the city of San Francisco issued a ban on facial recognition technology, prohibiting its use in ** agencies and law enforcement agencies, thus becoming the first city in the world to issue a ban on facial recognition technology.

The opposition to facial recognition technology in American society does not stop in San Francisco. Recently, the city of Oakland, Calif., is considering a law similar to that of San Francisco, while the state of Massachusetts is considering discontinuing facial recognition software in the state until the technology improves.

So the question is: why are more and more cities in the United States banning or suspending the use of this technology?

Flawed facial recognition technology.

Objectively speaking, the face recognition technology in the United States has always been at the forefront of science and technology, and it has already made moves at the commercial level. Amazon launched its facial recognition software back in 2016, and similar products include Google Cloud Vision API, IBM Watson Visual Recognition, and Microsoft's Face API.

Despite this, current facial recognition technology cannot guarantee 100% accuracy. In 2018, an article published in the New York Times** pointed out that facial recognition, a very popular AI application today, varies greatly in accuracy across different ethnicities. Among them, the error rate for black women is as high as 21%-35%, while the error rate for white men is less than 1% – which is arguably very politically incorrect in the United States.

Another incident worth mentioning is that the giant company Amazon launched the image recognition AI system Rekognition in 2016 to identify 28 members of the U.S. Congress as criminals, which caused an uproar in the American society and was full of doubts about facial recognition technology.

Dr. Zhang Xiaobo of the Institute of Automation of the Chinese Academy of Sciences has said that lighting, posture, decoration, etc. will have an impact on robot face recognition, and the occlusion problem is very serious for face image acquisition in non-cooperative situations.

Especially in the monitoring environment, the monitored object may wear glasses, hats and other accessories, which may make the captured face image incomplete, affect the subsequent feature extraction and recognition, and even lead to the ineffectiveness of the face detection algorithm.

Who exactly does your face belong to?

In terms of security, facial recognition technology also faces widespread skepticism in the United States.

For example, the storage of facial recognition information is still based on computer-recognizable language, i.e., numeric or specific**, and as the value of this data increases, the risk of exposure to hacking will also increase.

In other words, facial recognition technology is powered by data, and if this private data is stolen, your face may not only belong to you, but to anyone.

At present, there are still flaws in face recognition technology, such as twins can also open each other's mobile phones, strangers also look similar, in case of being exploited by someone with a heart, it may cause irreparable losses.

Because their facial recognition technology may not be so mature, there will be certain errors, so it should be banned.

Because this may infringe on people's image rights and affect people's image.

Because facial recognition technology can leak everyone's private information, which is very dangerous.

Because there are many drawbacks in face recognition technology, there are also some accident losses.

Because this facial recognition has caused a company in the UK to lose 1.7 million, which is terrible, and the police cannot track it on a limited basis.

Because facial recognition will leak personal privacy, this doctor does not allow this kind of facial recognition.