Computer vision

Computer vision is an AI field that understands images and videos. It corresponds to the eyes of face recognition, defect detection, and autonomous driving.

Computer vision is an AI field that allows computers to understand images and videos received from cameras. It can be said to be a technology that gives machines the ability to see, just as humans can instantly tell whether a cat or a dog is a cat by looking at a photo.

Face recognition unlocking for smartphones, detecting defective products in factories, reading medical images in hospitals, and the eyes that help self-driving cars recognize pedestrians and traffic lights are all computer vision. Deep learning has dramatically increased the accuracy of image recognition, becoming one of the first AI fields to be widely used in industrial settings.

Recently, it has developed into multimodal AI that understands text and images together, and is being combined with LLM. Meanwhile, facial recognition technology is at the center of controversies over surveillance and invasion of privacy.

✅ Why it matters

• It is a proven field that is already widely used in industrial settings such as manufacturing, medicine, and security.
• It is an essential foundational technology for AI in the physical world, such as autonomous driving and robots.
• The scope of application is expanding with the development of multimodal AI.

⚠️ Limits and debates

• Controversy over the surveillance use of facial recognition and invasion of privacy continues
• Performance may be affected by environmental changes such as lighting and angles
• There are cases where bias in learning data has led to errors in recognition of specific races or groups.