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Computer Vision Is Interesting. Here’s Why You Should Learn It

You may not have heard of computer vision, but it's a big deal. It's one of the most exciting things happening in tech right now. Soon enough, computers will be able to recognize what you're looking at — whether that's an object or a person — and then perform actions on your behalf. 

This could mean something as simple as automatically turning on lights when you enter a room or interacting with your smartphone via voice commands instead of typing text messages. But this technology isn't limited to just action-oriented applications: It has real-world uses for improving everything from autonomous cars to home security systems.

Computer vision is everywhere — and it's about to invade our lives significantly.

A subfield of AI (artificial intelligence) called machine learning includes computer vision. In machine learning and computer vision, helpful information from digital images or videos is automatically extracted, analyzed, and understood.

You can use Computer vision in industries like agriculture, manufacturing, finance, and healthcare. It's also an essential technology for autonomous vehicles (AVs), where it helps them identify people or objects in their surroundings.

Computer vision differs from other AI techniques because it focuses on understanding content rather than just identifying objects in an image. For example, if you take an image with two boxes and ask your computer what they are, it won't be able to tell you; but if instead, you request it, "what color do these boxes have?" or "how many features can we use on this image," then suddenly our computers become much more capable at finding helpful information!

How does machine learning work with computer vision?

Machine learning and computer vision are two sides of the same coin. Machine learning is the process of training a computer to do a task, while computer vision is the procedure of teaching a computer to see.

So how do they work together? Let's say you want your robot to recognize objects in its environment and interact with them somehow—like pick up a toy or open an electrical outlet cover (or whatever). For this to happen, you need a machine learning and computer vision at play; otherwise, it would be like teaching your cat how to play fetch without letting him try out his skills first!

What are some real-world uses for computer vision?

Here are some real-world examples of how computer vision can help you:

  • Self-Driving Cars: If you're wondering what your car will do next or how to get home safely after a night out with friends, computer vision can be of great use.
  • X-ray examination: Even though most clinicians still use manual X-ray picture processing to diagnose and treat illnesses, computer vision can automate the process, improving efficiency and accuracy.
  • Healthcare: The healthcare sector has evolved thanks to computer vision, significantly one of the complete databases for medical imaging information. 

Explore Course on AI and machine learning with Imarticus Learning.

Discover machine learning online training by enrolling in the E & ICT Academy's deep learning Artificial Intelligence certificate program

 Course Benefits For Learners:

  • To gain real-world business experience and prepare for a fulfilling career in data science, students work on 25 real-world projects.
  • Students can impress employers and showcase their skills with a certificate approved by the E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed credential.
  • After completing this computer vision course, students can find lucrative employment in the artificial intelligence and machine learning industries.

Contact us through the chat support system, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

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About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
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