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QR codes are extremely common these days, and they can be found in virtually anything!

From installing apps to filling out forms to listening to your favorite music, there’s a lot to do! It only takes one scan to access it!

But before we go to the nitty-gritty, let us first understand how a QR code works.

The square-shaped matrices of dark or light pixels used to store and retrieve data are known as quick response (QR) codes. It can be used by a wide range of devices and applications, and it can store more complicated data.

There’s a lot more to QR codes than just their everyday uses, and today we will tackle their types- Static vs Dynamic QR codes.

We will also get to know the advantages of using these codes and when it is recommended to use them.

Definitions

Both types of QR codes are widely available with just a quick search on the internet. They are pretty easy to make with the use of a QR code generator like Beaconstac, but let’s first get to know what makes them different from each other.

What is a static QR code?

Static QR codes, like barcodes, have certain permanence. Because the information is directly contained in the code, it is impossible to change their attributes once they have been formed.

It has the ability to store non-editable data. In cases where the information does not need to be updated or for a one-time campaign, static QR codes are quite useful.

What is a dynamic QR code?

A dynamic QR code is static’s more complex cousin.

The user can be routed to the destination website URL by using dynamic QR codes, which have a brief URL embedded in the code and this type of QR code allows the user to make any alterations despite already being generated.

It’s possible to change a dynamic QR Code as many times as you want without needing to reprint and reinstall the code.

The advantages of using static vs dynamic QR codes

Static QR code

Static QR codes are easily available. They are often offered for free use and there’s no need to sign up, making this type of QR code easier to make than the other type.

Its inability to be altered can also come as an advantage, as this makes it a more secure option. This way, no one else can edit the code or make changes to it.

For personal, one-time use, static QR codes are strongly suggested.

Dynamic QR code

Dynamic QR codes allow users to add more information, you can alter it at any time, making it easier to change it afterward.

The ability to password encrypts dynamic QR codes makes them safer to use in general. It also allows you to track the number of people who have scanned the QR code and the devices they used to do so.

For business needs, dynamic QR codes are the ideal option. This form of QR code is ideal for industries such as hospitality, marketing, and even government because of its ability to be updated.

How to make them

Whatever your use for the QR code will be, it is highly suggested to look for a reputable QR code generator that offers both static and dynamic QR Codes, such as Beaconstac’s QR code generator.  

Simply fill in the blanks with the information you want to include in the QR code, then click the “Generate” button to get started. This is as easy as that!

Now that you’ve understood what differentiates Static vs Dynamic QR codes., you’ll know best which type to use depending on your needs.

Also Read: Business Leadership – What Is It, And What Types Are There?

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With These Things, We Are Already Using Facial Recognition https://www.techreviewscorner.com/facial-recognition/ https://www.techreviewscorner.com/facial-recognition/#respond Thu, 05 Mar 2020 09:11:16 +0000 https://www.techreviewscorner.com/?p=281 The facial recognition technology is more present in everyday life. In places and applications that maybe you didn’t know. Within the field of AI, these types of applications can be developed with which a sensor can make metrics to recognize people’s faces and make an option. For facial recognition to work, you only need an […]

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The facial recognition technology is more present in everyday life. In places and applications that maybe you didn’t know. Within the field of AI, these types of applications can be developed with which a sensor can make metrics to recognize people’s faces and make an option.

For facial recognition to work, you only need an accurate camera and software that, through algorithms, is able to recognize facial features. The two-dimensional or three-dimensional image generates a matrix of similarities to compare and know if it is one person or another. Although it is in full development, it is already being used a lot because it offers better results than the biometric fingerprint.

Where Is Facial Recognition Used?

Facial recognition technology you use more than you think. Sometimes, without knowing it, and these are some examples :

Mobile Phone Cameras: digital cameras use technologies to know how to recognize people’s faces. Therefore, they usually mark them on the screen with a green box when you are going to capture a photo, and thus offer better results.

VideoConferencing Apps and Others: some apps like Apple’s Face Time, use AI for facial recognition and to be able to modify the image so that it looks like it looks at the camera. Other similar apps also allow you to do it, for example, to add filters on your face.

Biometric Systems: systems such as Face ID and the like also use facial recognition to unlock your mobile device, etc.

Cameras: Some video surveillance cameras also use it to recognize faces in crowded places. Taylor Swift used without warning facial recognition software at one of his concerts in Los Angeles. The objective was to locate the stalkers among the public, but it raised the controversy and immediately afterward their use was prohibited. The GDPR of the European Union also strictly prohibits it.

Other Uses For The Near Future

In addition to the above cases, facial recognition technology is also being used or will be used to :

Big Data: if you analyze the biometric data of all the millions of users who use this technology, you could measure moods worldwide, know when a person is more perceptive to show you an advertisement, etc. Even for feedback, since you can see from the front camera if an ad or service pleases you, irritates you, etc.

Distance Education: it will allow having proof that the student is present when studying remotely. If remote examinations are performed, the person can also be identified so that he is not supplanted.

Payments: China has been a pioneer in using facial recognition as credentials to authorize or make payments. Face ++ is the company that is developing it.

Security: cameras in public places can identify suspects or criminals who are wanted, even if there are thousands of people.

Psychology: to know the mood, or detect if someone is lying, etc. Some have considered using it to modify certain parameters of the devices according to your mood, such as putting a type of background music, changing the wallpaper in line with your state …

But, like everything else, it also has its disadvantages, since having large databases with the faces of many citizens, along with the power of AI technology, could lead to serious security and impersonation problems.

Also Read : How Does SMS Marketing Impact Your Company’s Strategy?

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