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Computer Vision

What is Computer Vision?

Computer Vision is possible because of Artificial Intelligence.

Computer Vision is most easily defined as a computer’s ability to see.

What is Computer Vision?

Computer Vision enables a computer to ‘see’ and understand what it sees. Based on the objects identified by the computer, it takes decisions or provides outputs.

Computer Vision is a part of Artificial Intelligence and Machine Learning.

Google Translate uses Computer Vision to help people navigate in foreign places. If you come across a road sign in a foreign language, Computers are trained on labeled, digital data. They identify patterns in images and ingest information accordingly. Computers depend on different algorithms to extract, identify and understand information from one or many images.

What Are the Applications of Computer Vision?

One of the practical application is Self Driving cars

One of the most exciting inventions of AI probably is driverless cars.

Ever wondered how these self-driving cars understand navigation?

Different algorithms are trained for object detection. When the car approaches an obstacle, the algorithms match it to similar pictures in its database and take decisions accordingly.

These automated cars are installed with maps for navigation, video cameras to capture approaching traffic and obstacles and machines to help understand what these obstacles are and how to deal with them.

There is a lot of speculation around the feasibility of self-driving cars. How will these cars manage in rain or snow? How will cars be programmed to stay updated with traffic laws and rules of cities and what happens to driverless cars in case of accidents are all questions that need serious consideration. Applications of Computer Vision in Driverless cars

Ford, Google, Mercedes Benz, Audi, Nissan, General Motors, Toyota, Volkswagon and BMW are all invested in the idea of self-driving cars and have been testing the same.

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