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Every page, in one place
34 pages across 5 clusters. Browse the whole site — solutions, use cases, comparisons, guides, and the blog — without hunting through the nav.
Core
8 routesTop-level pages.
Edge-Native Safety IntelligenceTurn existing CCTV cameras into real-time safety sensors. Detect falls, collisions, and hazards at the edge with under 150ms latency.Edge-Native AI Platform ArchitectureAnalyze video on-premises with NVIDIA Jetson hardware. Under 150ms inference, zero raw video leaving your infrastructure.Enterprise Security & Privacy PosturePrivacy-first safety AI. Raw video never leaves your site. Encryption, policy-based filtering, and secure audit trails.Pilot-First Pricing & DeploymentLow-risk 4-week pilot deployments with defined KPIs and measurable results for your facility.Our Mission: The Safety Intelligence LayerBuilding the safety intelligence layer for the physical world — turning CCTV into real-time sensors for proactive response.Expert Leadership in Edge AI & OpsField operations meets AI engineering. The team building real-time, privacy-preserving safety intelligence.Edge AI Safety FAQRTSP/ONVIF compatibility, sub-150ms edge latency, and privacy-first VMS integration (Genetec, Milestone).Book a Pilot ConversationDiscuss a safety audit or pilot deployment. Start defining safety KPIs and bringing AI detection to your site.
Solutions
4 routesIndustry vertical hubs.
Safety Solutions for Transit & LogisticsAI-powered detection for track trespass, platform safety, forklift-pedestrian conflicts, and warehouse hazards.Transit & Rail Safety AIEdge AI video analytics for metro stations, rail platforms, and transit infrastructure.Logistics & Warehouse Safety AIPrevent forklift collisions and fire hazards in warehouses and distribution centers.Manufacturing Industrial Safety AIAutomate PPE compliance and restricted-zone monitoring using on-premises Edge AI.
Use Cases
7 routesPer-incident detection models.
Edge AI Safety Use CasesTargeted AI detection models for track trespass, falls, and forklift-pedestrian safety.Platform Edge Safety MonitoringContinuous AI monitoring of the platform edge — alerts before the train arrives.Track Trespass DetectionDetect unauthorized rail track intrusion in milliseconds and warn dispatchers.Forklift Collision PreventionPredict forklift-pedestrian collisions with cross-aisle trajectory mapping.AI Fall Detection & Person-Down AlertsPassive CCTV fall detection alerts supervisors the moment a worker collapses.Visual AI Smoke & Fire DetectionDetect fires before thermal sensors trigger, using existing cameras.Crowd Density & Surge MonitoringPrevent crushing incidents with real-time crowd density and flow analysis.
Compare
4 routesHead-to-head comparisons against the alternatives.
How DHI ComparesEdge vs cloud, AI vs human guards, and neural detection vs legacy VMS motion — the honest trade-offs.Edge AI vs Cloud AILatency, privacy, and cost differences of edge-native vision versus cloud streaming.AI Surveillance vs Human GuardsEdge AI accuracy against the failure rates of manual CCTV monitoring.AI CCTV vs Traditional VMS MotionNeural edge AI versus legacy VMS pixel-shift motion detection.
Resources
7 routesTechnical guides & case studies.
Edge AI Safety Guides & Case StudiesTechnical guides, deployment case studies, and VMS integration checklists.Milestone XProtect AI Integration ChecklistStep-by-step technical configuration for routing DHI edge analytics into Milestone XProtect alarm and Smart Client workflows over ONVIF.Genetec Security Center AI Integration GuideHow to add DHI edge safety analytics to a live Genetec Security Center deployment using ONVIF events and the Security Center alarm engine.Reducing Rail Track Trespass Risk Across 300 Miles of Analog CCTVA deployment deep-dive on running autonomous video intelligence across active rail corridors without fiber backhaul and without replacing analog CCTV hardware.Why Cloud AI Cannot Stop a Forklift in TimeAn architectural review of the physical latency limits of cloud inference versus edge-native processing, and why momentum makes the difference fatal.On-Premise Video Analytics: A Data Privacy and Security GuideHow edge-native video analytics keeps footage on premise, narrows the attack surface, and simplifies the privacy and compliance story for IT and Legal.The Industrial AI Pilot Planning & Implementation ChecklistA technical framework for deploying edge compute on an existing VMS network without disrupting live security operations, with success criteria you can defend.
Blog
4 routesPerspectives from the DHI team.
The Dhi BlogPerspectives on edge AI, video privacy, and deploying safety analytics on the cameras you already run.Your "edge AI" might just be the cloud with extra stepsA cloud provider just discontinued its edge-vision product. Here's what it reveals about how most camera AI is really built — and the one question that separates real edge from rented edge.Where does your video actually go?The question that quietly stalls AI camera projects — and why keeping footage on-site turns privacy from a liability into the default.You don't need new camerasRip-and-replace is what kills safety projects. How to add AI to the CCTV and VMS you already run — starting with a single camera.