Warehouse Safety AI

DHI turns existing warehouse cameras into real-time safety sensors for forklift-pedestrian conflict, near-miss detection, smoke and fire risk, falls, and restricted-zone events. The system runs on site, keeps raw video local, and routes structured alerts into the VMS and workflows your team already uses.

Sub-150ms

Edge Latency

RTSP/ONVIF

Camera Fit

VMS

Alert Routing

On-Prem

Video Privacy

Deployment Context

Warehouse Safety AI requires environment fit and immediate proof of value.

Verify how DHI integrates with your specific camera estate and VMS workflow before any on-site deployment happens.

Camera estate

Existing CCTV

DHI uses the warehouse cameras already installed across aisles, docks, charging areas, and staging lanes.

Deployment model

One zone first

Start with the highest-risk dock or aisle, then scale after the alert quality and response path are proven.

Workflow

VMS-native events

Events can route to Genetec, Milestone, local alarms, or the operational process your supervisors already use.

Privacy

Raw video stays local

The model runs on site and sends structured safety metadata instead of moving continuous footage to the cloud.

Commercial fit

Pilot-ready

Warehouse safety AI is easiest to validate when the first deployment is tied to one incident class and one measurable zone.

Warehouse risk

Most warehouse incidents are visible before they become reportable.

The problem is not camera coverage. The problem is that people cannot watch every dock, aisle, staging lane, and charging area at the same time. DHI makes the existing camera estate useful during the few seconds when a warning can still change the outcome.

Blind corners and rack occlusion

Forklift operators often enter a crossing before they can see the pedestrian path. DHI watches the full camera view, not only the driver line of sight.

Close calls with no record

Near misses rarely become useful safety data. DHI turns close calls into searchable evidence by zone, shift, camera, and incident type.

Slow review after the fact

Manual video review is useful after an injury. Real-time alerting is useful before one happens. The page is built around that operational difference.

High-risk zones

Where the first pilot should prove value.

Cross-aisles

Where pedestrians and forklifts cross paths with limited visibility and short reaction windows.

Loading docks

Where vehicles, pallets, drivers, spotters, and dock staff move through the same constrained area.

Battery charging areas

Where smoke, flame, and restricted-zone behavior need fast escalation.

Pallet staging lanes

Where blocked walkways and unpredictable foot traffic create repeat near-miss patterns.

High-pile storage

Where visual smoke can appear before ceiling sensors receive enough heat to trigger.

Isolated aisles

Where a fall or person-down event can go unnoticed without continuous camera review.

Edge AI Capabilities

Neural models operating natively on the NVIDIA Jetson platform, delivering real-time safety signals without cloud dependency.

Forklift-Pedestrian Conflict

Track vehicle speed, pedestrian paths, aisle geometry, and blind-corner risk so safety teams can intervene before a close call becomes an injury.

Near-Miss Detection

Index the moments that usually disappear after a shift ends: sudden stops, path conflicts, unsafe crossings, blocked walkways, and repeat hot spots.

Smoke, Fire, and Person-Down Alerts

Use the same camera estate to detect visible smoke, flame, falls, and person-down events in aisles, docks, charging areas, and storage zones.

Deployment model

Start with the aisle that keeps showing up in incident reports.

A warehouse pilot should begin in one high-risk zone, prove alert quality, then expand to the rest of the building with the same edge architecture.

Map the camera estate

Confirm the RTSP or ONVIF streams, VMS access, camera angles, lighting, and the zones that matter most.

Define the first incident class

Choose forklift conflict, near miss indexing, smoke and fire, fall detection, or restricted-zone monitoring as the first measurable workflow.

Route alerts into operations

Send events to the VMS, supervisor tablet, local signal, or incident process that can trigger action fastest.

Pilot KPIs

Metrics a safety team can defend.

Alert latency

Sub-150ms inference plus VMS routing

Forklift and pedestrian paths can close in seconds. A safety alert has to arrive while action is still possible.

Near-miss capture

Repeat hot spots by aisle and shift

The first business value is often not one dramatic save. It is a reliable record of where unsafe patterns repeat.

Operator trust

Alerts staff actually review

A pilot should reduce noise enough that supervisors treat the alert queue as evidence, not background clutter.

Edge Integrity & VMS Native Integration

DHI transforms existing IP cameras into intelligent safety sensors. We deliver alerts natively into Milestone and Genetec, requiring zero additional cloud bandwidth.