What is computer vision?
Computer vision studies computational ways to extract information from images and video, including classification, detection and segmentation.
How it works and where it is used
1. How it works Cameras produce pixels; algorithms use features or learned representations. Models trained on data produce uncertain outputs, not human understanding. 2. Applications and examples Medical image support, manufacturing inspection, accessibility and traffic analysis are examples. Detection does not necessarily capture context or intent.
Limits and good practice
3. Limitations and security Lighting, angle, sensor and dataset shifts change accuracy. Face recognition raises privacy, consent, bias and false-match concerns. 4. Practical considerations Test across populations and real environments, limit data collection, keep human oversight where stakes are high and provide error reporting.