Computer Vision
Turning camera streams into structured, actionable data
What It Is
Computer vision is the field of getting a computer to extract meaningful information from images and video detecting objects, tracking movement, recognizing patterns the same underlying discipline whether the source is a security camera, a manufacturing line, or a mobile phone's photo library.
Why It Matters
The easy way to build video analytics is to store everything and figure out privacy and scale later. The correct way treats video as an input to be processed, not a product to be archived extracting structured data (presence, counts, dwell time) and discarding or never persisting the raw frames, so the system answers an operational question without becoming an unmanaged surveillance liability.
How TieTech Uses It
Our meeting room occupancy analytics project is a direct, real example: camera streams processed with OpenCV for person detection and tracking, producing occupancy and dwell-time data that feeds a costing engine with the underlying philosophy detailed in our computer vision case study.
