Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the sentences with the correct passive form of the verb in brackets.

Complete the dialogues with must, can’t, or might.

Complete the dialogues with must, can’t, or might.

Complete the dialogues with must, can’t, or might.

Complete the dialogues with must, can’t, or might.

Complete the dialogues with must, can’t, or might.

Complete the dialogues with must, can’t, or might.

Complete the dialogues with must, can’t, or might.

Complete the dialogues with must, can’t, or might.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with one word.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Complete the sentences with nouns and verbs related to the body.

Match the words with the same sound.

1. chair    ________

Match the words with the same sound.

2. egg      ________

Match the words with the same sound.

3. fish      ________

Match the words with the same sound.

4. bike     ________

Match the words with the same sound.

5. phone  ________

Choose the stressed syllable.

1. hi|sto|ri|cal

Choose the stressed syllable.

2. re|view

Choose the stressed syllable.

3. au|di|ence

Choose the stressed syllable.

4. di|rec|ted

Choose the stressed syllable.

5. sub|ti|tles

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

1. Question:

__________ photos are uploaded onto Facebook every month.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

2. Question:

Computers are able to __________.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

3. Question:

It takes __________ one second to search 36 million images.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

4. Question:

Many people like surveillance systems in public places because __________.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

5. Question:

Face recognition technology __________.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

6. Question:

Other technology has been designed to show __________.

Read the article and Choose the correct answer.

___________________________________________________________________________________________________________________________________

In 1990, the World Bank published a report showing that there were over a billion people in the world with an income of just one dollar a day. At the start of this century, the United Nations promised to halve this figure by 2015. It has been working hard to keep this promise ever since. A series of short films was made to show what you can buy in different countries with this tiny amount. In a market in Nepal, for example, they could only buy four bananas and a loaf of bread. It was impossible to buy meat or any protein.

Other people have been horrified to learn how enormous the problem is and have taken action in different ways. A UK charity called 1 Dollar a Day has been raising money to invest in projects to improve health, clean water, education, etc. They have also given people loans to help them set up a business as it is difficult to borrow money if you have no bank account.

In the US, two school teachers decided to try spending only one dollar each day on food for a month and have now written a book about their experience. They say they were often starving, and got bored with eating the same food. And they couldn’t afford to buy healthy foods such as fresh fruit and vegetables. The book describes how much rich countries waste, and how they try to save money by buying cheap food from other countries.

The World Bank has recently published another report on how the situation has changed since 1990. One dollar is worth less now, and food and fuel cost more, so it is difficult to work out exactly how much progress there has been. However, there have clearly been some amazing changes. Between 1990 and 2008, the number of people who earned salaries below the poverty line went down from 43% of the developing world to 22%, so the UN has already made a big difference. Of course there is still a huge amount to do to improve the lives of millions of people throughout the world.

9. Question:

In 2008, _____ of the world’s population was very poor.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

7. Question:

A smartphone app can tell __________ in a club.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

8. Question:

A new camera doesn’t take a photo until people __________.

Read the article and Choose the correct answer.

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

9. Question:

Facial recognition __________ animals in the future.

Read the article again. Mark the sentences T (true) or F (false).

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

Read the article again. Mark the sentences T (true) or F (false).

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

Read the article again. Mark the sentences T (true) or F (false).

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

Read the article again. Mark the sentences T (true) or F (false).

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

Read the article again. Mark the sentences T (true) or F (false).

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

Read the article again. Mark the sentences T (true) or F (false).

____________________________________________________________________________________________________________________________________

Face recognition

We now upload over four billion photos a month onto Facebook, and anyone who uses the site is familiar with the idea of face recognition software, which can tell you who is (or might be) in your photo.

Face recognition is being used in many different areas, especially to help the police identify criminals. Computers are not able to read faces like humans can, but they can be trained to compare a face with a photo that is stored in a database. They do this by noting certain features, or, for example, measuring the distance between the eyes. A ‘smart’ surveillance system – cameras which record our movements in public spaces – has now been developed by a Japanese company which can look through 36 million faces in one second to find a matching one. Many people say they feel safer if there are cameras to protect them in public places, but others are not comfortable with the fact that so many images of us are stored in a database.

The technology is not yet perfect (people who have had plastic surgery can especially confuse the system!), but it is now often preferred to other forms of conventional identification. This is partly because it can be used without us knowing. Face recognition is being improved all the time. Other new technology has been designed which can predict how a face might look as it gets older or which can fill in missing parts of an image. It can even identify someone from video taken in very low light.

In the future, face recognition might also inspire many more good business ideas. There is already an app for smartphones to tell how many people are at a club, and the ratio of men to women. Sony has also designed a camera that waits for you to smile before it takes a picture.

Finally, facial recognition doesn’t just recognize humans now – tests have been carried out which show that individual chimpanzees can be recognized, a development that could be used to protect wildlife in the future.

Listen to the film review. Choose the correct answer.

Listen to five conversations about a film quiz. Match the conversations (1–5) with what the speakers are talking about (A–E).