What it means
RTSP, or Real Time Streaming Protocol, is one of the common ways a camera or VMS exposes a video stream for local analysis. DHI uses RTSP streams as one input path for edge inference.
Why it matters
RTSP support helps a safety AI deployment use cameras that are already installed instead of waiting for a camera replacement project.
Evaluation questions
- Can each pilot camera expose a stable RTSP stream?
- Is the analytics node on the same network segment as the stream source?
- Does the stream quality support the chosen detection model?
Continue exploring.
- IntegrationIntegrationsReview VMS, camera, and edge hardware 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 rtsp 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.