Definition
Fall detection from CCTV
Using approved camera views to detect collapse or person-down events.
What it means
Fall detection from CCTV uses camera analysis to flag a person who appears to fall, collapse, or remain down in a defined zone. It should be scoped to approved public or operational areas.
Why it matters
The value is faster awareness when nobody is watching the exact feed at the exact moment.
Evaluation questions
- Is the camera angle useful for body posture and floor contact?
- Who receives a person-down alert?
- Which zones are approved for this use?
Continue exploring.
- Use CaseFall detection from CCTVReview person-down detection and response fit.
- PlatformPlatform architectureReview how DHI runs inference, event routing, and camera ingest.
- GuideEdge AI safety evaluation guideUse a structured checklist to evaluate platform fit before a pilot.
- PricingPricing and pilot scopeUnderstand what changes the final pilot and rollout scope.
Validate fall detection from cctv in a real pilot.
Use your current cameras, VMS, and response workflow to test whether the concept works in one defined zone.
The checklist is built for operators evaluating a live pilot in the next 30 days.
- Book a demoSee the flow on a real operating scenario and scope a pilot around one facility or corridor.
- See deployment architectureReview camera ingest, edge inference, alert routing, and what stays on-premises.
- Get the implementation checklistDownload the deployment checklist buyers use before green-lighting an industrial AI pilot.
- Talk to an engineerBring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.