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AI security cameras: from detection to a useful alarm

Understand what an analytic observes, what it infers and how to test it.

Updated

Principle and limits

Detection locates a candidate object; classification assigns a class such as person or vehicle. Tracking connects observations across frames. None of these operations, by itself, establishes a person’s identity or intention. A rule then combines observations with a zone, direction or duration. Decide whether the result should create a recording marker, request operator review or trigger a separately authorized workflow.

Installation and acceptance

Test day, night, backlight, occlusion and empty-scene operation. Keep representative video and label expected events before tuning. Record model, firmware, enabled rules, license and processing location. An AI family label is not evidence that every function runs simultaneously on the selected camera.

References

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