OPTICAL CO-DESIGN
Light, tuned for the retina.
Proposed 530 nm and 590 nm dual-wavelength LED illumination, with a 45° field-of-view optical design. Contrast and imaging performance still need to be tested.
DEEP TECH. CLOSER CARE.
Retinal screening.
Within reach.
Meet DRADADSS. A proposed handheld fundus camera bringing fully offline Edge AI to diabetic retinopathy screening.
In development · Concept and targets from our pitch deck. Clinical validation and regulatory review remain ahead.
DRADADSS01 / THE CONCEPT
++
ON-DEVICE INTELLIGENCE
Imaging + intelligence, in one handheld concept.Concept illustration from the pitch deck.
Not a clinically approved finished device.
Not a clinically approved finished device.
PURPOSE-BUILT FOR ACCESSSelected design targets
<3sOn-device inference target
<800gHandheld weight target
100%Offline operation goal
01 / THE CHALLENGE
The next step in eye care
shouldn’t be miles away.
Screening needs to fit the place where care happens.
The deck identifies a practical gap: retinal screening can depend on specialist access, costly equipment and reliable connectivity. Those dependencies can be difficult to meet in primary care and outreach settings.
02 / THE TECHNOLOGY
Optics meet intelligence.
Right at the point of care.
DRADADSS brings optical engineering and embedded AI into a single proposed system, designed to work without an external PC or a cloud connection.
OPTICAL + COMPUTE CO-DESIGNPROPOSED
530 nm590 nm
Optical capture Edge AILocal records
FUNCTIONAL SCHEMATIC · NOT A FINAL OPTICAL LAYOUT
EMBEDDED EDGE AI
Compute where you capture.
Planned 8-bit quantized models on custom edge hardware. The engineering goal is inference in under 3 seconds with power draw below 8 W.
LOCAL BY DESIGN
Records stay close to care.
The proposed architecture uses local processing and AES-256 encrypted record storage. Privacy safeguards and security require implementation and verification.
AN INTEGRATED DEVELOPMENT APPROACH
Optical assembly + Edge hardware + On-device models + Local records
03 / THE PROPOSED WORKFLOW
One device.
A simpler screening journey.
A workflow being designed around frontline health workers. Training needs, usability and clinical performance will be evaluated during development.
01
Capture the retina
A proposed non-mydriatic optical assembly acquires a fundus image in a compact handheld form.
OPTICAL IMAGE ACQUISITION02
Process on the device
Embedded AI is intended to assess the image locally, without sending it to a cloud service.
FULLY OFFLINE DESIGN GOAL03
Review a screening output
A planned 5-inch display presents grading and prompts, supporting clinical review and a next-step care decision.
12-LANGUAGE PROMPT TARGETIntended screening grades span no DR, non-proliferative DR severity levels and proliferative DR. These outputs are proposed and have not been established as validated diagnostic results.
04 / ENGINEERING GOALS
Small form.
Considered ambition.
Our proposed specifications set the direction for development. They are targets, subject to prototype testing, validation and design changes.
TARGET DEVICE PRICE~₹1.5 lakh
Indicative development goal.
Final pricing and availability are not established.
Proposed specifications
DEVELOPMENT TARGETS- AI inference
- <3 seconds
- Power draw
- <8 W
- Handheld weight
- <800 g
- Battery operation
- >6 hours
- Optical field of view
- 45°
- Local record capacity
- 10,000 AES-256 encrypted
- On-device display
- 5 inches
- Language prompts
- 12 Indian regional languages
All values above are proposed in the pitch deck; they are not measured product specifications.
05 / WHERE IT COULD HELP
Designed with the
last mile in mind.
Three intended care settings guide the product concept. Deployment will depend on validation, permissions and suitable clinical workflows.
PRIMARY HEALTH CENTRES
A screening starting point,
closer to home.
The intended PHC use case brings retinal image capture and on-device assessment to frontline care, with local records and regional-language prompts as design goals.
DESIGN PRIORITYWork where connectivity is limited.
CLINICS & CARE NETWORKS
Retinal screening within
routine diabetes care.
The proposed integrated device could support screening conversations in clinics. Clinical partners would help define safe use, review responsibilities and referral pathways.
DESIGN PRIORITYFit screening into an existing care journey.
COMMUNITY OUTREACH
Portable by intention.
Offline by design.
Handheld weight and battery-life targets are intended to support community screening and mobile outreach, subject to field usability testing and a defined follow-up pathway.
DESIGN PRIORITYBring the equipment to the community.
06 / THE DEVELOPMENT ROADMAP
A clear path to
evidence, then impact.
PROPOSED 12-MONTH PLAN
The deck outlines a progression from laboratory bench concept to alpha hardware and a clinical pilot. Milestones below are planned, not reported as completed.
- 01
MONTHS 01–03
Optics & illumination
Characterize the 45° optical assembly and calibrate the dual-wavelength LED system.
ENGINEERING - 02
MONTHS 04–06
Edge-AI electronics
Implement quantized models and test inference latency and power draw on a unified PCB.
INTEGRATION - 03
MONTHS 07–09
15 alpha prototypes
Assemble handheld units, test thermals and battery life, and carry out IEC 60601 electrical pre-testing.
PROTOTYPE TESTING - 04
MONTHS 10–12
Clinical pilot & dossier
Proposed prospective validation with 300 patients against dilated examinations, and planned CDSCO technical dossier submission.
PLANNED VALIDATION
Evidence before deployment. The supplied deck does not establish completed clinical validation, regulatory approval or certified compliance. A dossier submission is a planned step and does not constitute approval.
07 / THE PEOPLE BEHIND THE VISION
Engineering depth.
Clinical perspective.
The founder and advisory expertise presented in the pitch deck bring together embedded systems, optical engineering and retinal care.
FOUNDER & CHIEF TECHNOLOGY OFFICER
Parikshit Saha
Experience in robotics, autonomous navigation and embedded edge systems, with prior work in vision-guided surgical robotics and FPGA-accelerated computer vision.
Building at the intersection of optical engineering and on-device intelligence.
TRISHITA RESEARCH LABMentors & medical experts
AS LISTED IN THE PITCH DECKProf. K S Venkatesh
Retired Professor, IIT Kanpur
Optical system design, image processing and hardware–software integration.
Dr. Sanjiv Kumar Gupta
Professor (Retina Vitreous), Department of Ophthalmology, King George’s Medical University, Lucknow
08 / BUILD WITH US
Better access starts
with the right collaborators.
SEED FUNDING SOUGHT IN THE DECK₹1.50 crore
Proposed support for a 12-month development and validation programme.
Clinical partners
Help shape the proposed validation study, screening workflow and clinical review process.
Technology collaborators
Explore optics, embedded electronics, low-power AI and prototype development.
Investors & ecosystem
Discuss the development plan and proposed institutional hardware and pay-per-screen model.
LET’S START A CONVERSATIONpsaha053@gmail.com
Get in touch