Serious intelligence.
Right where it belongs.
Local compute. Multiple perspectives. One clear signal. A closer look at the architecture behind Aegis Protection.
Your cameras
ONVIF / RTSP
Aegis Protection Edge
ON-SITE NVIDIA GPU
Detect. Verify.
MULTI-MODEL AI
Act in seconds
ALERTS & DASHBOARD
The building
is the boundary.
Video is processed on an on-site edge appliance with an NVIDIA GPU. The intended architecture keeps raw feeds and evidence clips inside the facility. Encrypted, policy-approved event metadata can reach your chosen alert channels.
The compute layer
A dedicated GPU appliance performs inference on site. Hardware sizing and network design determine camera capacity, resolution and operating headroom.
The perception layer
People and vehicle detection, multi-object tracking and pose estimation create a live picture of motion, proximity, falls and repetitive lifting patterns.
The verification layer
A multi-model ensemble checks event context. An AI verifier double-checks candidate alerts before routing, designed to reduce nuisance notifications. False-alarm rates will be measured in pilots.
The understanding layer
A vision-language model turns observations into plain-English summaries: what changed, why it matters and what a supervisor should review next.
The response layer
Configurable escalation, role-based access and integration endpoints connect verified signals to the team’s existing response procedures.
<2 seconds
End-to-end alert latency target under agreed site conditions.
1 to 100+ cameras
Scale target across appliance configurations, subject to stream quality and workloads.
Always locally aware
Local detection designed to continue through WAN outages; external delivery resumes with connectivity.
Purpose-built.
Floor-ready.
PRODUCT VISUALIZATION · HARDWARE IN DEVELOPMENTThe next shift
starts here.
Help shape a new standard of safety.
Bring Aegis Protection to your floor first.