Platform

Edge-native architecture for low-latency safety monitoring

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

This page should answer the deployment decision in plain text.

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

Edge node beside the cameras

The platform is designed for existing RTSP and ONVIF estates with local compute and native VMS alarm routing.

Latency

<200ms inference

This page answers the physical question that matters: whether the alert arrives fast enough to change the outcome.

Privacy posture

Raw footage stays local

Only structured events, approved clips, and system telemetry leave the premises when policy allows it.

Supported environments

Jetson, AGX Orin, industrial x86

The supported-hardware section exists near the fold because architecture buyers need environment fit before they book time.

Measurable outcomes

Reliability, throughput, false alarms

The performance blocks answer how fast the stack runs, how many streams it supports, and whether it is production-ready.

How Dhi works

A complete pipeline from camera ingest to actionable safety events

Dhi SOC Environment
System Deployment Model [V.04]
Camera Ingest
RTSP Ingest
Sentinel-X Edge Node
Sentinel-X NodeInference < 200ms
Ops Dashboard
VMS Alarm
SOC 2 Ready
99.9% Uptime
Privacy Firewall Active

Camera ingest

Connect to existing RTSP/ONVIF cameras or integrate with VMS platforms

  • RTSP and ONVIF protocol support
  • Genetec, Milestone, Avigilon integration
  • Multi-stream handling (main + sub-streams)
  • Automatic camera discovery and configuration

Edge inference

Real-time pattern detection on industrial edge hardware

  • NVIDIA AGX Orin and Jetson NX support
  • Industrial x86 edge nodes
  • Multi-camera parallel processing
  • < 200ms inference latency per frame

Tracking & rules

Multi-object tracking and business rule evaluation

  • Cross-camera object tracking
  • Zone-based rule engine
  • Temporal pattern recognition
  • Configurable alert thresholds

Privacy firewall

Policy-based filtering before data leaves the premises

  • Raw video stays on-premises
  • Structured event generation
  • Policy-approved clip extraction
  • End-to-end encryption

Event storage

Local and cloud-based event and metadata storage

  • Time-series event database
  • Searchable metadata
  • Configurable retention policies
  • Audit trail and compliance logs

Integrations

Connect to incident management and operational systems

  • REST API for event streaming
  • Webhook notifications
  • SIEM and ticketing system integration
  • Custom dashboard embedding

Validated on enterprise hardware

Dhi runs on industrial-grade edge nodes designed for 24/7 operation in harsh environments

Dhi Sentinel-X AI Edge Node
Hardware Reference
Sentinel-X AI Edge

Ruggedized Infrastructure

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.

AI Performance
275 TOPS
Memory
64GB LPDDR5
Capacity
32 Streams
Storage
1TB NVMe
Native support for Milestone, Genetec, and ONVIF
Edge-native metadata extraction (Privacy first)
100% On-premises operation (No cloud feeds required)

Built for reliability and scale

Production-grade performance metrics

<ms
Inference latency
%
Uptime SLA
FPS
Per-camera processing
<%
False positive rate