Omni Vision logoOMNI VISION
S.01Face recognition at the edge

Know who is atthe gate in under100 milliseconds.

Cameras, matching and storage all run on your own hardware. No internet needed to let the right people in.

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100% AIR-GAPPEDZERO CLOUD LATENCY

Instant local match.
Total biometric sovereignty.

Match Speed

1.8 ms

On-chip vector compare

FAR Accuracy

0.0001%

Anti-spoofing certified

Local Index

10,000+

Enrolled RAM templates

Availability

99.99%

Runs through outages

S.01 · DEPLOYEnterprise Edge Nodes

Engineered for high-throughput gates, campuses & secure facilities.

Hardware nodes are pre-configured, tested against power cuts, and pair with any IP camera in minutes.

S.02Capabilities

Everything a gate needs, in one local system.

Face detection

Finds every face in the frame, even at an angle, in hats or in glasses, in about 15 ms.

Live-person check

Rejects printed photos and phone screens before any match is attempted.

Identity matching

Compares against thousands of enrolled people in about 2 ms on the local node.

Guard alerts

Sends a snapshot, time and gate name to on-duty phones within seconds.

Power backup

DC backup keeps cameras, router and processing node running through outages.

Card or QR fallback

When a face is hidden, the person taps an ID card or shows a QR code instead.

S.03Pipeline
RTSP [#01]
Capture

Camera frames arrive over your local network at 720p.

  1. What happens at the gate
  2. Capture
  3. Detect
  4. Verify
  5. Match
  6. Alert

Camera frames arrive over your local network at 720p.

S.04Privacy

AtOmniVision,webelieveeveryidentitycheckshouldstayonyourpremises,whichiswhyweprocesseachfacelocallyandkeeponlyencryptedtemplates.

HARDWARE APPLIANCE // SECURE
Zero-Cloud Dependency

512-dimensional biometric templates are stored in an encrypted local database.

Face images are deleted after enrolment. Logs are wiped on a schedule you choose.

Read the data notice

Under
100 ms

From camera frame to verified identity

S.05Deployments

One system, three ways to run it.

Built on open models like MediaPipe and ArcFace, so you own every part of it.

Built for the doors people really use

University main gate
Hostel entrance
Staff car park
Exam hall door
Library
Server room
SYSTEM // EDGE_STANDBY_READYNODE_LATENCY: <18ms
LOCAL_ENCLAVE: ACTIVEAES-256-GCM
Start with zero infrastructure changes

Put it on one gate first.