Computer Vision
Computer Vision enables computers to see, analyse, and understand images and videos, similar to how humans use their eyes and brain.
Computer Vision enables machines to interpret and understand visual information from the real world.
Applications of Computer Vision
- Face Recognition: Computer Vision systems detect and recognize human faces by analysing facial features.
- Mobile phone face unlock
- Attendance systems in schools and offices
- Security and access control
- Medical Imaging: Computer Vision is used to analyse medical images such as X-rays, MRI, and CT scans.
- Early detection of diseases
- Identifying tumours and fractures
- Assisting doctors in accurate diagnosis
- Self-Driving Cars: Autonomous vehicles use Computer Vision to understand their surroundings.
- Detecting roads, lanes, and traffic signals
- Identifying pedestrians and vehicles
- Preventing accidents
- Retail and Shopping: Computer Vision helps retailers understand customer behaviour.
- It track customers' movements through stores, analyse navigational routes and detect walking patterns.
- It can generate a very accurate estimate of the items available in the store.
- Theft detection
- Biometric Systems: Computer Vision identifies individuals using physical features.
- Fingerprint recognition
- Iris and face scanning
- Secure authentication systems
- Surveillance and Security: Computer Vision analyses video footage from CCTV cameras.
- Detecting suspicious activities
- Tracking people and objects
- Enhancing public safety
- Optical Character Recognition (OCR): OCR converts text from images into editable digital text.
- Scanned documents and forms
- ID verification (Aadhar, PAN cards)
- Digitizing books and records
- Agriculture: Computer Vision is used to analyse images of crops and soil.
- Detecting plant diseases
- Monitoring crop growth
- Improving agricultural productivity
- Industrial Automation: In industries, Computer Vision helps in quality inspection.
- Detecting defective products
- Monitoring machines
- Ensuring quality control in manufacturing
- Augmented Reality (AR): Computer Vision overlays digital objects on real-world images.
- Social media filters
- Virtual try-on of clothes and accessories
- Interactive gaming
- Face Filters: Many apps like Instagram and Snapchat have features of face filters is one among them. Computer Vision helps to identify the facial dynamics of the person and applies the facial filter selected.
- Google's Search by Image: Searching for data on Google's search engine through an image uses Computer Vision as it compares different features of the input image to the database of images and gives us the search result.
- Google Translate App: All you need to do to read signs in a foreign language is to point your phone's camera at the words and let the Google Translate app tell you what it means in your preferred language almost instantly. By using optical character recognition to see the image and augmented reality to overlay an accurate translation, this is a convenient tool that uses Computer Vision.