Category

Video analytics and computer vision

This category organizes content about turning cameras into operational data, focusing on scope, technical feasibility, privacy, flow analysis and responsible AI use.

Editorial focus

What this category covers

How to move from raw video to actionable indicators by area, time and rule.

When to use video analytics for flow, dwell time, OOH, queues or urban operations.

Which privacy, retention and governance controls are needed from the pilot stage.

Articles

Articles in this category

Content already published for this editorial track.

AI video analytics: how to turn cameras into operational indicators

How to turn existing cameras into actionable data for people flow, occupancy, queues, alerts, evidence and operational intelligence.

Want to assess AI video analytics in your environment?

Blucom can assess existing cameras, areas of interest, operational goals and privacy requirements before proposing a scope.

FAQ

Common questions about this category