Applications in Industry and Research - iffatAGheyas/computer-vision-handbook GitHub Wiki
🌐 Applications of Computer Vision in Industry and Research
Computer Vision isn’t just academic—it’s everywhere, powering tools you use daily and transforming industries. Here’s a look at how it’s used in the real world.
1. Healthcare and Medical Imaging
- Tumour detection in MRI or CT scans
- Diabetic retinopathy screening from eye images
- Skin lesion classification (melanoma vs benign)
- Example: Deep learning for eye-disease detection
2. Autonomous Vehicles
- Lane detection, pedestrian detection and traffic-sign recognition
- Real-time decision-making using multiple camera feeds
- Example: Tesla and Waymo self-driving systems
3. Manufacturing and Industry
- Quality inspection (e.g. detecting cracks or defects)
- Robotics for pick-and-place on assembly lines
- Object tracking for automation
- Example: Conveyor-belt systems with real-time image processing
4. Retail and E-Commerce
- Visual product search (e.g. “shop the look”)
- Automatic checkout systems (Amazon Go)
- Shelf inventory monitoring using cameras
5. Security and Surveillance
- Facial recognition
- Intrusion detection
- Licence-plate recognition
- Example: City-wide AI-powered surveillance networks
6. Consumer Technology
- Face unlock on smartphones
- Filters and AR effects on Instagram and Snapchat
- Photo enhancement and scene recognition in smartphone cameras
7. Scientific Research
- Astronomy: galaxy classification from telescope images
- Biology: cell counting and tracking in microscopy
- Environmental monitoring: deforestation and wildlife tracking using drones
🌍 Summary Table
Industry | Use-Case Example |
---|---|
Healthcare | Tumour detection in medical scans |
Automotive | Pedestrian and lane detection |
Retail | Shelf monitoring and automated checkout |
Surveillance | Facial and licence-plate recognition |
Consumer Tech | AR filters and face unlock |
Science | Microscopy and satellite image analysis |