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Industrial Applications of Computer Vision:
- Optical Character Recognition (OCR):
- Used for reading handwritten postal codes, license plates (ANPR), and digitized texts.
- Machine Inspection:
- Quality assurance in manufacturing (e.g., measuring tolerances on airplane parts or inspecting castings using X-rays).
- Retail Automation:
- Object recognition in self-checkout systems and automated stores.
- Warehouse and Logistics:
- Robots for package delivery and picking items using computer vision (e.g., Covariant AI systems).
- Medical Imaging:
- Aligning pre-op and intra-op scans or studying brain changes over time.
- Self-Driving Vehicles:
- Used in autonomous cars and drones to understand and navigate the environment.
- 3D Model Building (Photogrammetry):
- Creating 3D models from aerial or drone images.
- Match Moving for CGI:
- Merging live-action footage with computer-generated imagery in movies.
- Motion Capture (MoCap):
- Capturing human movements for animations and gaming using visual markers.
- Surveillance:
- Monitoring traffic, detecting intrusions, or identifying drowning victims in pools.
- Biometric Recognition:
- Face and fingerprint recognition for security and forensic uses.
Consumer Applications of Computer Vision:
- Image Stitching:
- Combining multiple photos into a seamless panorama.
- Exposure Bracketing:
- Merging multiple images taken under different lighting to produce a well-lit image.
- Morphing:
- Smoothly transforming one image into another (e.g., face morphs).
- 3D Modeling:
- Generating 3D objects or avatars from a few photos.
- Video Match Move & Stabilization:
- Adding effects to videos or removing camera shake using motion tracking.
- Photo-Based Walkthroughs:
- Navigating through a 3D virtual environment constructed from real photographs.
- Face Detection:
- Used in smartphone cameras for auto-focus and better photo tagging.
- Visual Authentication:
- Automatically logging in users through facial recognition via webcam.
