Insights
Guides on computer vision, edge AI, video analytics and operational applications, written for anyone who needs to evaluate the technology in practice.
What is computer vision and how does it work?
Computer vision is the field of AI that interprets images and video. Learn how it turns cameras into classes, events, metrics and better decisions.
Can you use existing cameras in a computer vision project?
You often don’t need new cameras. See what to assess (resolution, angle, light, network) before applying computer vision to the CCTV you already have.
How computer vision reduces irrelevant CCTV alarms
Wind, shadows, rain and animals trigger alarms nobody needs to see. Learn how computer vision uses class, zone and context to alert only on what matters.
How does camera-based people counting and flow analysis work?
Camera-based people counting detects and tracks each person to measure entries, exits, occupancy and flow. See what affects accuracy and privacy.
Edge AI or cloud: where should computer vision run?
There is no single architecture for computer vision. See when to process video near the cameras (edge), on a central server, in the cloud or in a hybrid model.
What do you want your cameras to tell you?
Tell us what you need to detect, measure or monitor. We start with the problem, not the technology, and the assessment uses images from the cameras you already have.
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