Vision

Vision in AI, also known as computer vision, is a field that enables machines to see and understand the world through digital images and videos. It involves algorithms and models that can identify objects, people, and actions, much like human vision. This technology is used in various applications, including self-driving cars, facial recognition systems, and medical image analysis.

Enables machines to interact with the physical world more effectively. It has numerous applications in industries such as healthcare, transportation, and security, improving efficiency and accuracy. For instance, in healthcare, computer vision can help doctors diagnose diseases more accurately by analyzing medical images.

Computer vision is used by training machine learning models on large datasets of images and videos. These models learn to recognize patterns and features, allowing them to classify objects, detect anomalies, and even generate new images. For example, in self-driving cars, computer vision helps the vehicle to recognize traffic lights, pedestrians, and road signs.

A practical example of computer vision is the use of facial recognition technology in smartphones. When you unlock your phone using your face, the device's camera captures an image and uses AI algorithms to match it with your stored facial data. This process happens quickly and accurately, demonstrating how computer vision can be integrated into everyday technology to enhance security and convenience.