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Malicious Life

Should Law Enforcement Use Facial Recognition? Pt. 1

Malicious Life

Malicious Life

Technology

4.81K Ratings

🗓️ 3 February 2021

⏱️ 48 minutes

🧾️ Download transcript

Summary

Should Law Enforcement Use Facial Recognition? Pt. 1



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Transcript

Click on a timestamp to play from that location

0:00.0

859 Florida. Florida 50, Claremont.

0:03.6

Wednesday, 5.10 PM.

0:07.4

The Hilltop Ace Hardware store in Claremont, Florida

0:11.6

is just about the last place you'd expect to be host to a groundbreaking

0:16.8

case of grand theft.

0:19.8

It's a boxy one-story building, with mulch stacked up just about everywhere flanked by a gas station and a flooring store.

0:28.8

Inside it's a typical hardware store, you know how they are, cramped with all kinds of tools and things lining every inch of shelf space.

0:41.0

It's tough to imagine that anyone would come to a place like this for anything other than like a new screwdriver.

0:50.0

But on the evening of November 20th, 2019, two people walked in with greater ambitions.

0:59.0

One of them was a white woman, rugged features, brunette hair pulled back into a ponytail, dressed in a black pencil dress and flip-flops.

1:10.0

With her was an African American man dressed much better for the job, sunglasses and very indistinct single-colored

1:18.5

t-shirt pants and hat. Also flip-flops. Do all Florida criminals wear flip-flops? That doesn't seem like the greatest idea.

1:30.0

The two drove up to Claremont's Ace Hardware backing their black pickup truck into a parking spot directly in front of the store.

1:40.0

They went in and grabbed, among other things, two grills and a vacuum.

1:45.0

Pretty unexciting stuff, but by the time they drove off, they had $12,000 of stolen merchandise in that pickup.

1:55.0

Police obtained security footage and ran some of the images through a facial recognition algorithm.

2:03.0

Simply enough happens all the time.

2:06.0

What made this case unique was that the software used by Claremont Police

2:12.0

didn't actually identify the woman by her face.

2:16.0

It used a particular camera shot which caught her whole body and used it to focus on an entirely different body part.

2:25.0

In the shot you can see a little mark on the woman's left ankle, a tattoo.

2:32.0

A standard facial recognition algorithm wouldn't care about such a thing, but in

...

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