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RetGuard Screening System

A retinal camera, an AI processing unit, and a clinical interface — everything you need for multi-disease retinal screening in one compact package.

RetGuard retinal camera with fundus imaging display
Imaging

RetGuard Camera

High-resolution retinal imaging designed for point-of-care screening. Easy to use, quick to set up.

High-res fundus imagingAuto-focusReal-time previewUSB-C
RetGuard Box — NVIDIA Jetson-powered AI processing unit with RetGuard branding
Processing

RetGuard Box

Compact AI processing unit. Plug in, power on, start screening. No configuration, no cloud setup, no IT overhead.

NVIDIA Jetson Orin NX100 TOPS (INT8)16 GB LPDDR554.1M params< 30s screeningFully offline
The complete RetGuard screening system — retinal camera, RetGuard Box, and laptop showing the clinical interface in a diabetic eye care center
Complete Package

The Complete System

Retinal camera, RetGuard Box, and clinical interface — everything you need for multi-disease retinal screening in one integrated package.

Retinal CameraRetGuard BoxClinical InterfacePDF ReportsFully Offline

Key Differentiators

01

One System, Five Conditions

No need for separate screening tools, separate subscriptions, or separate workflows. RetGuard screens for diabetic retinopathy, glaucoma, hypertensive retinopathy, AMD, and DME — all from a single retinal image, in a single session.

02

Completely Self-Contained

No cloud infrastructure. No internet dependency. No recurring API costs. All AI processing happens locally on the RetGuard Box, keeping patient data fully private and giving you complete control over your screening program.

03

Clinical-Grade Reports

Structured PDF reports are generated automatically with clear screening results, calibrated confidence levels, visual evidence, and referral recommendations. Ready for your clinical records, patient communication, or specialist handoff.

Specifications

RetGuard system technical specifications
CategoryParameterDetail
ComputeProcessorNVIDIA Jetson Orin NX 16 GB
ComputeAI Performance100 TOPS (INT8)
ComputeGPU1024 CUDA cores, 32 Tensor cores (Ampere)
ComputeCPU8-core Arm Cortex-A78AE @ 2.0 GHz
ComputeMemory16 GB LPDDR5 (102.4 GB/s)
ComputePower10W–25W
AI ModelParameters54.1M
AI ModelInput Resolution480 × 480 px
AI ModelFeature Dimension1,280-dimensional
ImagingModalitiesFundus photography + OCT
ImagingCompatibilityStandard fundus cameras & OCT devices
ScreeningConditionsDR, Glaucoma, HTR, AMD, DME
ScreeningScreening Time< 30 seconds (all 5 conditions)
ScreeningOutputPDF clinical report with Grad-CAM evidence
ScreeningIntegrationHL7-compatible
ConnectivityInterfaces3× USB 3.2 Gen2, GbE, WiFi, HDMI 2.1
ConnectivityCloud DependencyNone — fully offline operation