DHI is scoped around the camera views, edge nodes, detection models, VMS routing, and response paths your first deployment needs. Start with a focused pilot, then scale after the alert quality and operations fit are proven.
Pricing logic
The right commercial conversation starts with camera scope, edge compute, incident class, VMS workflow, privacy boundaries, and pilot success criteria.
Commercial model
DHI prices serious deployments after the first camera group, incident class, and response workflow are scoped.
Primary driver
The biggest pricing variables are camera groups, edge-node placement, model load, and VMS event routing.
Deployment path
Start with one measurable zone, prove alert quality, then expand to more cameras, sites, and incident classes.
Privacy posture
Pricing does not require sending continuous footage to a third-party cloud pipeline.
Buyer output
A useful quote should show camera scope, detection scope, integration work, support model, and rollout assumptions.
Commercial paths
DHI does not publish generic seat prices for camera environments that vary by site. These are the commercial paths buyers actually use to move from evaluation to rollout.
Validate one incident class in one high-risk zone before expanding the commercial scope.
Scoped after camera, workflow, and integration review
Expand a proven use case across more cameras, zones, shifts, and response owners at one facility.
Scoped after camera, workflow, and integration review
Standardize edge safety analytics across facilities while preserving local camera, VMS, and privacy constraints.
Scoped after camera, workflow, and integration review
The same camera count can price differently depending on where the cameras sit, which models run, how alerts route, and how much governance the site requires.
Pricing starts with the camera views that actually cover the risk zone, not the total camera count on a site map.
Compute depends on stream count, model load, hardware placement, and whether the node sits close enough to the camera network.
Forklift conflict, falls, smoke, crowding, track trespass, and restricted-zone events each have different tuning and validation work.
A simple local alert is different from Genetec or Milestone alarm routing with priorities, bookmarks, clips, and audit trails.
The cost model changes when events need horns, light stacks, supervisor tablets, dispatch workflows, or multiple recipients.
Retention, access control, clip approval, and security-review requirements affect implementation planning.
Example scopes
These are not price tiers. They are common evaluation scopes that help buyers define what the first quote should include.
One forklift-pedestrian conflict zone, one alert owner, existing CCTV, edge inference, and a clear near-miss review process.
A proven pilot expands across more aisles, docks, restricted zones, or person-down camera views with VMS workflow ownership.
An enterprise team compares edge-node placement, integration patterns, privacy controls, reporting, and rollout sequence across facilities.
Because the real cost depends on camera views, edge compute, incident classes, VMS routing, alert ownership, and privacy requirements. A flat number would hide the work that determines whether the pilot succeeds.
Bring the first safety problem, the site or zone, rough camera locations, current VMS, desired alert owner, and the outcome your team wants to measure.
Yes. The best pilots start with one high-risk zone and enough camera context to validate the incident class, alert timing, and response workflow.
No. DHI is designed around existing RTSP and ONVIF camera streams where the current views are good enough for the selected incident class.
Scope. More camera groups, more edge nodes, more incident classes, complex VMS routing, multi-site rollout, and heavier governance requirements increase implementation work.
Use the checklist to define camera scope, alert path, success criteria, and rollout readiness before requesting a quote.
See the clearest first commercial wedge: forklift conflict, near misses, smoke, falls, and restricted-zone events.
Use the architecture comparison when pricing is tied to cloud streaming versus local edge inference.
Review camera ingest, edge compute, event routing, security posture, and deployment model before scoping.
Check Genetec, Milestone, Axis, NVIDIA Jetson, RTSP, and ONVIF fit before the first quote call.
A buyer guide for comparing latency, camera fit, VMS integration, privacy posture, and pilot proof.
Bring the first risk zone, current camera environment, VMS constraints, and the operational outcome you want to measure. We will map that into a practical pilot scope.
Best starting point: one zone, one incident class, one response owner.
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.