Dhi intercepts video dynamically at the edge. We deliver sub-200ms intelligence while keeping raw CCTV footage securely on-premises to guarantee privacy-sensitive operational compliance.
Architecture Proof
Architecture traffic is high intent. Surface deployment model, latency, privacy, environment fit, and measurable operating outcomes before the reader reaches a demo CTA.
Deployment model
The platform is designed for existing RTSP and ONVIF estates with local compute and native VMS alarm routing.
Latency
This page answers the physical question that matters: whether the alert arrives fast enough to change the outcome.
Privacy posture
Only structured events, approved clips, and system telemetry leave the premises when policy allows it.
Supported environments
The supported-hardware section exists near the fold because architecture buyers need environment fit before they book time.
Measurable outcomes
The performance blocks answer how fast the stack runs, how many streams it supports, and whether it is production-ready.
A complete pipeline from camera ingest to actionable safety events




Connect to existing RTSP/ONVIF cameras or integrate with VMS platforms
Real-time pattern detection on industrial edge hardware
Multi-object tracking and business rule evaluation
Policy-based filtering before data leaves the premises
Local and cloud-based event and metadata storage
Connect to incident management and operational systems
Dhi runs on industrial-grade edge nodes designed for 24/7 operation in harsh environments

The Sentinel-X is purpose-built for the factory floor, the rail yard, and the loading dock. No fans, no moving parts, and an IP67-rated enclosure ensure that your safety intelligence never goes offline—even in the harshest environments.
Production-grade performance metrics
See what leaves the premises, what stays local, and how the security review path works.
Bring the platform details into a direct edge-vs-cloud evaluation with latency and privacy tradeoffs.
Use a concrete proof asset when the next blocker is Milestone, ONVIF, or alarm-routing implementation detail.
Architecture buyers usually want to review latency, supported environments, privacy boundaries, and integration fit before they book a broader commercial conversation.
We can walk through cameras, compute, VMS integration, and alert routing in one session.
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.