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Computer Vision = Teaching computers how to “see” and “understand” pictures and videos

Subject: Convolutional Neural Networks (CNNs)

CNNs (Convolutional Neural Networks) are the foundation of most modern
computer vision systems, which enable tasks like object detection and image
classification.

APPLICATIONS OF COMPUTER VISION
Computer vision can be used for the following applications:

Face Recognition

AI is used in face recognition for devices like smartphones.
Face unlock functionality, where the phone recognises the
user’s face and grants access, is a popular example of AI
in action. This technology uses computer vision algorithms
to match the captured face with the stored data.

Traffic Monitoring

AI-powered CCTV cameras are used in traffic monitoring to detect
red-light jumping and speeding. Cameras are equipped with AI
to identify vehicles breaking traffic rules and automatically send
violation alerts.

Healthcare
In the healthcare industry, AI analyses X-rays or scans to detect

diseases such as cancer, fractures or other abnormalities. AI helps
medical professionals identify conditions more accurately and
quickly, improving the speed of diagnosis.

Self-driving Cars
In autonomous vehicles, AI helps identify pedestrians,
traffic signs and road lanes using cameras and sensors.
The AI system processes visual data to help the car
navigate safely without human intervention.

Exploring AI Domains 119