How the detection actually works, what "acceptable" false-positive rate really means, deployment planning, ROI math, and compliance — written for security directors and integrators doing real evaluations, not marketing.
What the model is looking at, why confidence scores matter more than a yes/no answer, and where visual weapon detection genuinely can and can't help.
Why alert fatigue kills more security deployments than bad detection accuracy, and how to evaluate a vendor's false-positive claims before you sign.
What RTSP and ONVIF actually mean for your existing camera fleet, how to check compatibility before a vendor call, and where mixed-brand deployments break.
GDPR, UK GDPR, PDPA, KVKK, PDPL and more — what each region actually requires for AI-processed video and biometric data, and how on-premises architecture changes the compliance picture.
What to have ready before an AI video analytics rollout — camera inventory, network readiness, zone planning, and the sequence that gets you live in days, not months.
A concrete framework for building the business case — shrinkage baseline, guard-hour cost, incident-response time, and what a realistic payback period looks like.
The real tradeoffs — data residency, latency, total cost at scale, and which one your compliance team will actually sign off on.
Ask us directly — no sales pitch, just a straight answer.
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