Image recognition is a technology that allows computers and artificial intelligence to identify and analyze visual images by detecting objects, scenes, and faces using machine learning techniques. While image recognition provides benefits like improved security and new applications in self-driving cars and smartphones, it also faces cons like vulnerability to spoofing and potential misuse of personal data if not implemented carefully. A complete cybersecurity solution can help address privacy and data protection concerns raised by image recognition.

1. THE PROS & CONS OF IMAGE
RECOGNITION
WHAT EXACTLY IS IMAGE RECOGNITION?

2. INTRODUCTION
• Image recognition has quickly become everyone’s favorite
technology lately. From technological companies to whole
Governments, image recognition has become one of the most
common ways to ensure safety and security. However, just like the
case is with other technologies, image recognition is also
vulnerable to cyber-attacks and can threaten your personal
reputation and assets if misused by hackers or even agencies.

3. WHAT EXACTLY IS IMAGE RECOGNITION?
• Have you ever wondered how a computer or mainly artificial intelligence
processes your facial information to unlock, pay for or secure your devices? It
does so by dividing your image into small packets of data known as “pixels” It
identifies these pixels and divides it into different patterns based on the
colors, layout and other elements.
• When you save your image into your phone to use it as an image recognition
id, the AI detects your face based on the pixels orientations it has already
saved in its database. From there, it matches the saved information with your
current facial image and decides whether you’re the right person trying to
unlock the device or not.

4. HOW IS MACHINE LEARNING ASSISTING IMAGE
RECOGNITION?
• It is a very time-taking and intensive process, but once you have educated a
machine to understand and identify patterns, it can provide great help.
• For that, the engineers store lots of data in the system. This data consists of
pictures that have human images in them or not and are labeled accordingly.
Once the machine starts to differentiate the images, it becomes easier for it
to repeat the same behavior in the future when need be. However, we should
also understand that it requires thousands of images to make a machine learn
and react properly. That is why it is a very resource-consuming process.

5. WHAT ARE THE PROS OF IMAGE RECOGNITION?
• Image recognition is and can be used in multiple domains. Such as:
• Many car manufacturing companies are now considering (and testing) self-driving cars. They
implemented effective image recognition in their technology so that self-driving cars can
detect human beings and other objects in their surroundings and save from incidents.
• The smartphone industry seemingly has adopted facial recognition as the new and more
reliable way of ascertaining a user’s identity.
• Organizations can eliminate thumb scanning and other verification methods and replace
them with image recognition. It will not only save them time but also efforts and costs.
• Google has implemented image recognition in its algorithm to provide improved image
search results.

6. CONS OF IMAGE RECOGNITION:
• As image recognition is still in its early phases, someone can use a
photo to spoof the technology and gain access to your devices.
• Some Governments are using facial recognition technology to
surveil their citizens.
• As your images can be stored in large databases, third party
entities (including hackers) can misuse it to gather information
about you.

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