What's Vision Programming?

 Vision programming, also known as computer vision, is a field of computer science that focuses on enabling computers to interpret, understand, and make decisions based on visual data from images and videos.

Goals of vision programming👇

1. Image recognition: Identify objects, scenes, and activities.

2. Object detection: Locate and classify objects within images.

3. Image segmentation: Separate objects from backgrounds.

4. Image processing: Enhance, restore, and manipulate images.

Areas Of Applications👇

1. Robotics: Guidance, navigation, and control.

2. Surveillance: Security monitoring and intrusion detection.

3. Healthcare: Medical imaging analysis and diagnosis.

4. Autonomous vehicles: Object detection and tracking.

5. Facial recognition: Biometric authentication.

6. Quality control: Defect detection in manufacturing.

Programming Languages Required👇

1. Python (OpenCV, TensorFlow)

2. C++ (OpenCV)

3. Java (OpenCV)

4. MATLAB

Techniques/Skills Required👇

1. Machine learning (deep learning)

2. Image processing algorithms

3. Feature extraction

4. Object recognition

5. Scene understanding

Popular Libraries and Frameworks👇

1. OpenCV

2. TensorFlow

3. PyTorch

4. Keras

5. Caffe

Real-World Examples👇

1. Self-driving cars (Tesla, Waymo)

2. Facial recognition (Facebook, Apple)

3. Medical diagnosis (IBM Watson)

4. Surveillance systems ( airports, cities)

5. Robotics (industrial automation)

Career Paths👇

1. Computer Vision Engineer

2. Machine Learning Engineer

3. Image Processing Specialist

4. Robotics Engineer

5. Research Scientist

Skills Required👇

1. Programming skills (Python, C++, Java)

2. Math and statistics knowledge

3. Familiarity with machine learning and deep learning

4. Understanding of image processing algorithms

5. Experience with computer vision libraries and frameworks

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