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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