S / I / R EXPLAINED
Likely inhibited by the antimicrobial at the exposure represented by the selected standard and test conditions.
The computer-vision layer measures the optical result. Version-controlled rules perform the S/I/R mapping.
AMR-Eye.AIMICROBIOLOGY. CONNECTED.Measure the plate.
Measure the plate.
Connect the record.
AMR-Eye explores calibrated imaging for antibiotic susceptibility testing: plate measurements, qualified human review and a connected laboratory record.
Prototype project. Concept imagery.
01 · THE PROBLEM
A proven method. A fragmented workflow.
Kirby–Bauer AST remains scientifically useful. The opportunity is to make its measurement, traceability and review more consistent.
01
Manual zone measurement
02
Observer variability
03
Fragmented equipment
04
Delayed interpretation
05
Manual documentation
06
Limited continuous monitoring
07
Disconnected lab systems
TRADITIONAL WORKFLOW
Plate
Manual ruler
Lookup
Paper report
AMR-EYE DIGITAL WORKFLOW
Calibrated image
AI measure
Rules engine
Human verify
Digital report
Designed to assist validated microbiology · not bypass it.
02 · LIVE PRODUCT DEMOPrototype demo
Inspect a zone. Review the record.
Six-disc synthetic metrology with editable measurements, QC scenarios and traceable demonstration reports.
03 · MEASURE → INTERPRET → VALIDATE
The AI does not invent breakpoints.
Optical measurement, structured rules and professional validation remain distinct.
“The AI measures. The standards engine interprets. The microbiologist validates.”
STANDARDS ENGINE Proposed product
OrganismE. coli · DEMO
AntibioticCiprofloxacin
MethodDisk diffusion
Zone diameter25.4 mm
MICNot measured
StandardEUCAST / CLSI demo
VersionMock 2026
BreakpointInterface only
InterpretationS · suggested
QC statusHuman review
AI Measurement
Structured Standards DB
S/I/R Rule
Human Verification
04 · MULTI-MODE IMAGINGProposed product
One plate. Multiple optical perspectives.
Mode switching below changes the synthetic optical view.
PLATE Ø 90.0 MM · DETECTED
ACTIVE OPTICAL PURPOSEZone boundaries, silhouettes and quantitative measurement
05 · MODULAR SCIENCE
Standardize first. Add sensing with evidence.
Advanced channels are separated from the AST demo and clearly marked as proposed or experimental.
MIC MODULE Proposed product
Minimum Inhibitory Concentration
Proposed broth microdilution module
The lowest concentration of an antimicrobial that prevents visible microbial growth under defined test conditions.
0.25Growth
0.5Growth
1Growth
2No growth
4No growth
8No growth
SIMULATED OUTPUT MIC = 2 µg/mL
AI NOSE / METABOLIC SENSING Future R&D
Microbial metabolism can produce volatile organic compounds (VOCs). AMR-Eye explores VOC response as an auxiliary metabolic fingerprint · not as a standalone species identifier.
Vision
VOC
Growth kinetics
Environment
Sensor fusion
LiDAR / DEPTH Future R&D
The proposed VL53L8CX channel supports coarse presence, proximity and plate positioning. Research-grade morphology requires a separate qualified 3D profilometer.
Not an independent bacterial identification method. NEPHELOMETER Proposed product
0.5 McFarland target
Standardized inoculum density matters because improper bacterial concentration can alter zone measurements.
“We do not want AI to precisely measure a poorly standardized experiment.”
06 · PIMSProposed product
A digital twin for every plate.
Plate Information Management System · one traceable record from inoculation to verification.
PLATE IDPLT-26-0901-017
Sample IDSAM-2409-82MediaMueller–Hinton agarOrganismE. coli · demoAntibioticsCIP · AMC · MEM · GEN · SXT · AMPInoculation09:02 ISTTemperature37.0 °CImages12 framesAI confidence97.6% meanStandardsDemo EUCAST/CLSIRules versionMock 2026Example zoneCIP 25.4 mm · syntheticHuman reviewPendingReportDraft
GROWTH TIMELINE
00:00
Plate registeredBaseline captured
02:00
Early lawnNo measurable zones
08:00
Zone emergenceConfidence 72%
16:00
Stable boundariesConfidence 94%
18:00
Endpoint readyHuman review queued
07 · SaaS–BAHUFuture R&D
The laboratory’s unified human control layer.
BAHU · Bio-Automation & Human User Interface · connects people, AI, instruments and biological workflows without hiding professional responsibility.
Sample preparation
A qualified operator selects the assay SOP, prepares the inoculum and confirms the media and method.
Plate registration
Connect the plate ID, sample metadata, disc content and preparation record.
Optical measurement
Capture calibrated views and inspect proposed zone measurements. Ambiguous boundaries require review.
Environmental record
Log the assay-specific temperature, timing and acquisition conditions alongside each image.
Human review
Review measurements, apply a qualified standards version and retain a traceable decision before any release.
08 · LAB CONTROL CONSOLEPrototype demo
Explore the proposed laboratory controls.
Adjust the simulated controls to explore the proposed operator experience.
INCUBATION CHAMBER Proposed product
35.0 °CTARGET TEMPERATUREHumidity 61%Incubation ACTIVEDoor CLOSED
VISION
TransILLUMINATION MODERGB ONExposure 1/60
AST
06DISCS DETECTEDPlate LOCKEDStatus READY
SENSORS Future R&D
Temperature 35.0 °CHumidity 61%VOC SIMDepth SIMDevice health 98%
EDGE AI
YOLO-CV · DEMOLOCAL MODEL PROFILEQueue 01Mean confidence 97.6%
STANDARDS
DEMO DBVERSION-CONTROLLED RULE LAYERCLSI MOCK 2026EUCAST MOCK 16.0
AUTOMATION Proposed product
CURRENT WORKFLOWAST time-lapse acquisition
NEXT OPERATIONCapture frame · 00:12:41
CONTROL PARAMETERS
All controls are simulated for product demonstration.09 · SOFTWARE ARCHITECTUREProposed product
Four-layer system architecture
Control, human interface, local intelligence and cloud coordination remain separable by design.
01
LAYER 01
HARDWARE CONTROL
Firmware / Real-Time Control
STM32 / RTOS- Temperature
- Lighting
- Interlocks
- Sensors
- Timing-critical hardware
02
LAYER 02
OPERATOR HMI
Human / UI Layer
Industrial HMI / SBC- BAHU
- Touchscreen
- Sample management
- Workflow control
- Local UI
03
LAYER 03
EDGE METROLOGY
Edge AI
NVIDIA Jetson- Plate + disc detection
- Zone segmentation
- Growth tracking
- Sensor fusion
- Confidence scoring
04
LAYER 04
FLEET & DATA
Cloud Intelligence
Connected services- Multi-device analytics
- Model updates
- Enterprise dashboard
- Remote monitoring
- Fleet management
Hardware control
Operator HMI
Edge inference
Fleet services
10 · CONNECTED LABFuture R&D
Designed to integrate · not become another silo.
AMR-EYELIMS / LISLab systems
HISHospital system
CLINICIAN / ENTERPRISEVerified information
LIMS Laboratory Information Management System · LIS Laboratory Information System · HIS Hospital Information System
11 · CUSTOM LAB AUTOMATIONFuture R&D
Adapt the platform to the laboratory.
AMR-Eye adapts to the laboratory rather than forcing the laboratory to adapt to AMR-Eye.
Lab audit
SOP mapping
Instrument mapping
Automation design
Hardware modules
Software config
AI config
BAHU deployment
Small diagnostic lab
AST + imaging + smart incubation
Hospital laboratory
AST + MIC + LIS + QC + reporting
Research laboratory
Time-lapse + multimodal imaging + custom AI
Pharmaceutical QC
Environment monitoring + colony analysis + audit trail
12 · ONE HEALTHFuture R&D
One platform architecture. Multiple biological contexts.
Potential expansion aligned with a One Health approach; each use case requires its own validation pathway.
ONE HEALTH13 · AMR INTELLIGENCE NETWORKPrototype demo
Explore an AMR data example.
India and global views with fixed synthetic counts.
14 · BUSINESS
Hardware opens the door. Recurring services compound value.
A system business · not a one-time device sale.
01Hardware / System Installation
02Software SubscriptionRECURRING
03AI-as-a-ServiceRECURRING
04Automation-as-a-ServiceRECURRING
05Integration-as-a-ServiceRECURRING
06AMC / Calibration / SupportRECURRING
07Enterprise SaaSRECURRING
15 · COMPETITIVE POSITIONING
Established systems validate the category.
AMR-Eye’s intended position is a staged, resource-conscious platform · not an unproven claim of superiority.
| MARKET CATEGORY | VALIDATES | AMR-EYE INTENDED POSITION |
|---|---|---|
| Traditional manual AST | Accessible disk diffusion | Digitized measurement + traceability |
| Reshape Biotech | AI imaging + incubation | AMR-first, modular, edge-capable pathway |
| bioMérieux / VITEK | Integrated clinical ID/AST | Start with disk diffusion; build validation discipline |
| BD Phoenix | Automated ID/AST + expert rules | Resource-conscious staged architecture |
| WASPLab / Colibri | Microbiology automation | Future BAHU orchestration + modular automation |
16 · PRODUCT ROADMAP
Build evidence before breadth.
All product tiers below are roadmap concepts unless explicitly marked as the current demo.
LITE
Portable imaging + ZOI analysis
Prototype directionCORE
Smart incubation + automated imaging + AST
ProposedPRO
Multimodal sensing + advanced analytics + integration
FutureCLINICAL
Validated AST / MIC / QC / standards / traceability
Future · regulatedAUTOMATION
Robotics + laboratory orchestration
Long-term01Synthetic imagesMeasurement proof
02Reference platesManual agreement
03Pilot labError profile
04Standards DBTraceable S/I/R
05Clinical protocolCategory agreement
06Regulatory planningDeployment readiness
17 · ADVANCED TECHNOLOGY WALL
Explore the full vocabulary · without confusing the MVP.
Tap any module to explore its purpose and maturity.
18 · ABOUT AMR-EYE.AI
A better record starts with a closer look.
AMR-Eye.AI is an AI-assisted antimicrobial susceptibility testing and bio-automation project led by Namdev Shirodkar. The immediate objective is to convert a defensible computer-vision principle into a validated prototype, dataset and pilot workflow.
THE NEXT MILESTONEPrototype → Dataset → Validation → Pilot Lab → Scale
Meet the team LET’S TALK
Bring your perspective.
Explore a demo, discuss a lab workflow or talk about research and investment.
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