Welcome to the Vision Introduction section of our AI Course. In this module, we will delve into the fascinating world of computer vision, exploring its fundamentals, applications, and future prospects.
What is Computer Vision?
Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. It involves enabling computers to gain high-level understanding from digital images or videos.
Key Components of Computer Vision
- Image Processing: Manipulating and analyzing digital images.
- Computer Vision Algorithms: Algorithms that enable computers to understand and interpret images.
- Machine Learning: Techniques that allow computers to learn from data and improve their performance over time.
Applications of Computer Vision
Computer vision has numerous applications across various industries:
- Healthcare: Diagnosing diseases, analyzing medical images, and monitoring patients.
- Automotive: Autonomous vehicles, driver assistance systems, and traffic monitoring.
- Retail: Inventory management, customer behavior analysis, and personalized shopping experiences.
- Security: Facial recognition, surveillance, and access control.
Learning Resources
For further reading and learning, we recommend the following resources:
Images
Neural Network
Facial Recognition
Autonomous Vehicle