Questões Militares de Inglês

Foram encontradas 4.323 questões

Ano: 2021 Banca: FGV Órgão: PM-SP Prova: FGV - 2021 - PM-SP - Aluno - Oficial PM |
Q1727966 Inglês

How facial recognition technology aids police




Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.


By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

The authors conclude the text by stating that
Alternativas
Ano: 2021 Banca: FGV Órgão: PM-SP Prova: FGV - 2021 - PM-SP - Aluno - Oficial PM |
Q1727965 Inglês

How facial recognition technology aids police




Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.


By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

Based on the information provided by Text I, mark the statements below as true (T) or false (F).
( ) In relation to AFR, ethical and legal implications are being brought up. ( ) There is enough data to prove that AFR is efficient in street policing. ( ) AFR performance may be affected by changes in light and motion.
The statements are, respectively,
Alternativas
Ano: 2020 Banca: Marinha Órgão: EAM Prova: Marinha - 2020 - EAM - Marinheiro |
Q1696205 Inglês
What sports can you see in the pictures below?
Imagem associada para resolução da questão
Alternativas
Ano: 2020 Banca: Marinha Órgão: EAM Prova: Marinha - 2020 - EAM - Marinheiro |
Q1696204 Inglês
Mark the option that completes the text with the right form of the verbs in parenthesis, respectively.
Betty's doctor told her to exercise more. So she began running. She______ (to enjoy) running. She _____ (to run) almost every day. Betty will run in the marathon next week. A marathon _______(to be) 26 miles. She will run for three hours without stopping. She will try to finish it.
Alternativas
Ano: 2020 Banca: Marinha Órgão: EAM Prova: Marinha - 2020 - EAM - Marinheiro |
Q1696203 Inglês
The Baseball game

Dad took his son Chris to a baseball game. The Los Angeles Dodgers were playing the San Francisco Giants. The Dodgers were the home team. The Giants were the visiting team. Dad and Chris walked into Dodger Stadium. Many people were there. Most of them wanted to see the Dodgers win. They wanted to see the Giants lose. Dad and Chris found their seats. They sat down. Chris told his dad he was hungry. His dad bought two bags of peanuts for Chris. He bought two hot dogs for Chris. He bought a big soda for Chris. A foul ball came their way. People dived for the foul ball. They knocked Chris' soda over. His dad bought him another soda. 

Adapted from: <https://www.eslfast.com/supereasy/se/supereasy134.htm>
How many sodas did Dad buy?
Alternativas
Respostas
686: D
687: A
688: C
689: C
690: B