Does Facial Recognition Work On Face Masks?

Does Facial Recognition Work On Face Masks?

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video discusses the challenges facial recognition systems face during the pandemic due to mask-wearing. It highlights the technical difficulties in identifying individuals with partial face visibility and the cultural differences in mask usage. The video also covers recent advancements by companies like Han Wang and Clearview AI in adapting facial recognition technology to work with masks, while addressing ethical concerns. It concludes with recommendations on privacy and the effectiveness of non-facial recognition methods for contact tracing.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the main challenges facial recognition systems face when people wear masks?

Masks completely obscure facial features.

Masks make it impossible to capture any part of the face.

Masks slow down the identification process.

Masks change the color of the face.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might facial recognition software struggle with real-life photos?

Real-life photos are usually black and white.

Real-life photos are taken with outdated cameras.

Real-life photos often differ in lighting, resolution, and orientation from training data.

Real-life photos are always blurry.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which company claimed to have developed facial recognition technology that works with masks?

Han Wang

Google

Microsoft

Apple

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What additional tool does Han Wang's system use to potentially identify people with a virus?

DNA analysis

Voice recognition

Temperature sensors

Fingerprint scanner

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major ethical concern with using facial recognition for contact tracing?

It requires too much manual labor.

It raises privacy issues.

It is not accurate enough.

It is too expensive to implement.