What is computer vision and how does it work?
Computer vision is the field of artificial intelligence that interprets images and video to recognize objects, people, movements, patterns and events. In real operations, it turns cameras into a source of data that supports security, efficiency and decision-making.
How it works
A camera provides images. AI models process those images and detect relevant elements. Rules turn those detections into events and metrics. Finally, the results are sent to dashboards, APIs, VMS or operational systems.
What can be detected
- People, vehicles, objects and equipment.
- Entries, exits and line crossings.
- Occupancy, queues and dwell time.
- Trajectories and heat maps.
- Hazard zones and restricted areas.
- Vehicle license plates.
- Specific events defined for each environment.
Is computer vision the same as facial recognition?
No. Facial recognition is just one of many possible applications. Most operational projects work with detection, classification, tracking, zones and aggregated metrics, without identifying anyone.
Do the cameras need to be replaced?
Not always. The first step is to assess the resolution, angle, lighting and coverage of the existing cameras to find out which applications are feasible.
How to get started
Start with the operational problem, not the technology. Define what needs to be detected, measured or monitored, and how that information will be used after the detection.
Read next: can you use the cameras you already have?