Computer Vision (Computer Vision)
Related services
AI DevelopmentWhat is Computer Vision?
For a computer, a picture is just a matrix of numbers (pixel colors). Computer Vision looks for patterns in these numbers to identify shapes and objects.
Main tasks: • Classification - what is in the photo? (is it a cat or a dog?) • Object detection - where are the cars in the photo? • Segmentation - separating the object from the background (like blurring the background in Zoom) • Face recognition - FaceID in the smartphone • OCR - converting text from a picture into a digital format
This technology is the basis of self-driving cars, medical diagnostics and quality control automation.
How does computer vision work?
A model (usually a convolutional neural network, CNN) is trained on thousands of labeled images. She learns to recognize edges and lines first, then shapes, and finally - whole objects.
Options for using a CV
At the factory, the camera captures the parts on the conveyor, and the AI detects defects (scratches, deviations) in milliseconds.
Self-service cash registers that recognize vegetables on the scales themselves. Or stores without cashiers (Amazon Go).
Analysis of X-rays and MRI. AI notices abnormalities in the early stages faster than a human doctor.
Recognition of car numbers in the parking lot or identification of people through video surveillance systems.
/ FAQ
Depends on implementation. In the EU (GDPR), facial recognition is strictly regulated. But for the analysis of goods or documents, it is absolutely safe.
/ Related terms
Ready to implement?
We'll help you implement it. 30-minute process audit - free.
Book an audit