There is historical precedent for facial recognition technology dating back to the 1960s. It was only really possible to implement it widely and on a huge scale in the modern computer age, of course, and at this point it appears to be almost everywhere, with concerns that it may spread even farther in the future. However, a lot of us are ignorant of the extent of the technology’s current applications and drawbacks.

10.Cats Can Be Identified by Their Faces

If technology cannot be used to the advantage of dogs and cats, is it really worth your time? Fortunately, facial recognition technology is appropriate in this case since it aims to reunite owners and abandoned pets.

As straightforward as one could anticipate, is the idea. Uploading pictures of a lost pet is possible using an app. If your pet is lost, the photos in the database will allow for a facial recognition system to match the animal to you so that you can be reunited.

Nor is that the only application. There is a cat feeder that uses facial recognition software to keep tabs on your pets’ eating patterns. This could take several forms, such as warning you when a cat isn’t eating enough or stopping another cat from stealing food by cutting the supply when it notices the same ravenous boy returning for more.

9.Only being able to match photos to photos, facial recognition technology cost the FBI $1 billion.

Naturally, law enforcement has a vested interest in facial recognition technology. While there are many legal ramifications, privacy issues, malicious possibilities, and other related topics to discuss, there’s also a more fundamental and basic issue to address, which is how well facial recognition technology functions in the first place.

Presently, technology has really advanced, and there are instances where it functions quite well. However, things become a little harsher if we go back to when the FBI first made the investment. The Bureau invested nearly $1 billion on software that was only able to identify faces when compared to high-quality images.

To match one high-quality, clear, front-facing photo with another that matched the same specifications, all you had to do was take a picture of the subject. This may seem like something that humans are also capable of. Perhaps the speed at which the computer can complete the task is its only advantage.

In the event that the computer lacks a high-quality second photo to compare it against, there won’t be a match. This was found in Boston following the 2013 bombing of the Boston Marathon.

The FBI had access to images of the two suspects and they were there, captured on camera, but the low quality of the surveillance film rendered the facial recognition software unable to match them.

The billion-dollar software, according to an FBI source, could only be used to compare “driver’s license and passport photos to other driver’s license and passport photos.”

The two suspects were there and had been captured on camera, according to FBI pictures that were made available to them. However, the surveillance footage was of low quality at the time, so the facial recognition software was unable to match the two suspects. The billion-dollar software, according to an FBI source, could only be used to compare “driver’s license and passport photos to other driver’s license and passport photos.”

8.Juggalo Cosmetics Disables Various Types of Facial Recognition Software

Consider becoming an Insane Clown Posse fan if you want to fool facial recognition software for legal and morally acceptable purposes. It has been demonstrated that facial recognition software struggles to recognize the makeup used by the band and their supporters, who go by the more colorful moniker of “Juggalos.”

Many of the methods by which facial recognition distinguishes between faces in order to identify them rely on contrast. Juggalo makeup combines various forms and black bands on a white base to create a monochrome clown theme. Facial recognition software is unable to identify its target due to the artificially sharp contrast it produces.

The purchase of military facial recognition technology by LiveNation and Ticketmaster for use at concert admission points brought this disclosure to light. Juggalo makeup confuses facial recognition by hiding your jawline, which is one of the main regions the technology concentrates on. It mainly does this by contrast black and white around the lips and chin.

Even if Juggalo makeup wouldn’t work anymore due to some types of technologies that don’t focus on contrast, at least you would still be clearly supporting the Insane Clown Posse.

7.The Role of Eyebrows in Facial Recognition

Having well-groomed eyebrows is important to some people. Others don’t mind at all if their eyes are shaded by fuzzy caterpillars. The eyebrow is the most important feature for facial identification. In contrast to features like eyes, noses, lips, and general face shape, eyebrows do not appear to be as important for facial identification as they actually are.

According to biology, eyebrows are essential for recognising faces. When someone is staring at you, the appearance of hair—which is typically absent from human faces—provides a striking contrast. Brows are essential for comprehending another person’s face, even in person. Software should naturally account for this as well.

While eyebrows haven’t always been a crucial indicator in software, the Covid-19 pandemic forced some researchers to modify the way their program functioned because so many people were mask-wearing, which removed features like mouths, jawlines, and noses as distinguishing characteristics.

A face’s ability to be recognized is mostly dependent on factors such as eye color and form, lip thickness, and eyebrow thickness. The significance of the eyebrows cannot be emphasized.

6.Taylor Swift Recognized Followers at Concerts Using Facial Recognition Technology

Facial recognition is used at concerts, as we’ve already seen, and not just for Juggalos. Currently one of the top singers in the world, Taylor Swift, has been using it to find possible stalkers.

When Swift performed at the Rose Bowl in 2018, there were kiosks set up outside. The kiosks were discreetly scanning faces as customers filtered in while showcasing video of her dance routines. To ensure that security was prepared, facial recognition technology was used to compare every face to a list of known stalkers she had previously dealt with.

At NASCAR races, shopping centers, and athletic events, the same technology is employed for a number of general, non-specific uses, such as advertising and security. As a result, there’s a strong possibility that a business you’ve never heard of has your name, photo, and a list of preferences on file if you’ve attended any public events in the past few years. By 2019, the organization had gathered information on 110 million event attendees.

In any case, the business maintains that it doesn’t retain the information it gathers and doesn’t even capture photobombings of individuals. Sounds sensible.

5.An airport vending machine dispensed coffee to yawning customers using facial recognition technology.

At first, most people are wary of facial recognition technology, but efforts to persuade people to accept it have proven successful. Douwe Egberts, a coffee company based in South Africa, shown that all it takes is providing an incentive for people to take action.

The business installed a coffee vending machine at a crowded airport, but it lacked a mechanism for accepting payment for the coffee. On the other hand, the machine’s cameras recognized individuals who yawned and gave them free coffee. Everyone who desired free coffee could eventually have it after it was discovered what set off the machine.

Narratives depict the people’s amusement and smiles after realizing the situation was a marketing ploy, which is exactly what it was. Not as much was discussed, but the technology was training people to provide a certain response, which proved to be quite successful for the corporation and showed them that they could use facial recognition in campaigns to make sure customers were following their instructions.

4.Some Hairstyles Can Trick Your Face Recognition System

Even though makeup has the ability to fool face recognition software, it’s not the only aesthetic decision that might fool the system. Certain hairstyles, such as CV Dazzle, have also caused confusion in the past.

As part of his master’s thesis, Adam Harvey developed a system that demonstrated how a wearer might be disguised from what was then the most popular facial recognition software algorithm by combining certain hairstyles, cosmetics looks, and even clothing items.

It’s unlikely that you would ever believe the individual was deliberately attempting to trick facial recognition software, even though the designs could appear strange to a live observer. Rather, their appearance would be that of someone returning home after Fashion Week.

It’s unlikely that you would ever believe the individual was consciously attempting to trick facial recognition software, even though the designs could appear strange to a live observer. Rather, their appearance would be that of someone returning home after Fashion Week.

This was a less ostentatious, or at least more fashionable, way of doing it, similar to how Juggalo makeup could cause the software to malfunction. It could involve hair covering up part of the face, like one eye, or adjusting the way the head and face are perceived to be elliptical.

3.To Stop Toilet Paper Thieves, China Uses Facial Recognition Technology

The Temple of Heaven in Beijing is a popular tourist destination and a holy spot when it comes to innovative applications of facial recognition technology. In 2017, facial recognition toilet paper dispensers were installed for Temple guests visiting the restroom.

A length of paper is dispensed by the machine after it has scanned your face. Why? To steal toilet paper, people would frequently enter the restrooms. It now offers you a two-foot-long strip of paper that it believes you need, but if you return for more, it will recognize your face and take the items instead of giving them up.

A length of paper is dispensed by the machine after it has scanned your face. Why? To steal toilet paper, people would frequently enter the restrooms. It now provides you with what it believes to be what you need, a two-foot-long strip of paper. If you return for more, it will recognize your face and hold onto the item.

So what happens if you decide you need additional paper in good faith? Unfortunately, you only get two feet, so you better make the most of it. If you have some spare time, there is a cumbersome workaround. The machines have a nine-minute timer, so if you want more, you may wait the full nine minutes. It is inconvenient for everyone who requires it, but potential thieves likely find it considerably more so.

2.Malls Collect Biometric Information from Customers Using Facial Recognition

Let’s take a closer look at the malls that we discussed previously while discussing Taylor Swift, since you might be surprised to learn how widespread this is. Have you ever come across one of those directory kiosks in malls where you can search up maps of the mall and certain retailers? If your mall has one, chances are strong it’s also got a camera trained on you and every other person walking by, with facial recognition software operating in the background.

Due to the fact that patrons were not told they were being photographed or for what purpose, a few Canadian malls faced legal issues in 2018. An inquiry conducted two years later revealed that the mall’s owner business had collected 5 million shoppers’ photos by using the same technology in a dozen other malls around the nation.

The firm asserts that it was merely monitoring foot movement and collecting age and gender data for analytical purposes, not personally identifiable consumer information. However, it also gathered audio and video data, which the officials said was merely a test phase.

Customers were notified by the mall, according to stickers on doors, that cameras are being used for “safety and security.” However, the privacy commissions looking into the matter didn’t think it was relevant given the cameras themselves were using biometric data to guess people’s ages, genders, and purchasing histories.

1.Facial Recognition Sunglasses Are Used by Chinese Police

In 2018, Chinese law enforcement officers were provided with sunglasses that included facial recognition technology built right into the lenses, akin to futuristic or misguided concepts like Google Glass. A camera within the frames can search through crowds of people, and the faces can be compared to a database using the same simple technology that you might use to unlock your phone. The glasses have the ability to immediately notify the police if there is a wanted criminal’s face on file, if someone is using a false identity, or anything similar.

The system worked incredibly well, according to Chinese police sources, and helped apprehend over six people just by having officers go through crowded train stations.

Additionally, it was said that although no police department or government would ever use technology to profile individuals or identify political dissidents in addition to criminals, it might be able to do so.

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