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RetinaReload™: AI-Powered Wearable Eye Health System
RetinaReload™ is the world’s first AI-driven, cartridge-based eye health platform designed specifically for screen-intensive users—gamers, coders, digital professionals, and individuals at genetic risk for macular and systemic ocular diseases.
The fully functional prototype was developed entirely in-house, combining advanced AI-based CAD modeling, high-resolution 3D printing, sensor integration, and BLE-enabled software. The result is a scalable, FDA-adaptable platform for non-invasive ocular and systemic screening via real-time sensor fusion and trend analysis.
🧠 AI-Powered Design & CAD Engineering
🧠 AI-Powered Design & CAD Engineering
🧠 AI-Powered Design & CAD Engineering
- Facial Mapping & Comfort Fit
AI-driven modeling tools were used to create a universal-fit goggle frame that adapts to diverse craniofacial profiles, minimizes pressure points, and ensures light-tight coverage for sensor accuracy.
- Optimized Sensor Layout
Internal geometry was fine-tuned for precision placement of:
- IR Thermal Sensor (MLX90640) – Maps ocular surface temperature
- PPG Sensor (MAX86150) – Captures pulse wave and HRV
- Pressure Sensor (MS5803) – Monitors vacuum seal and pump behavior
- Blue/UV Sensor (VEML6075) – Tracks ambient light exposure risk
- Proximity Sensor (VCNL4040) – Measures blink rate and pupil distance
- Cartridge System Design
A top-loading, lockable fluid cartridge system delivers a sterile saline-nutrient mix. The cartridge guides fluid through a mesh interface, ensuring clean, controlled hydration.
🖨️ 3D Printing & Assembly
🧠 AI-Powered Design & CAD Engineering
🧠 AI-Powered Design & CAD Engineering
- Shell & Face Seal
Polycarbonate shells, fluid guides, and sensor mounts were 3D printed. The face seal was molded from soft, medical-grade silicone for skin-safe wearability.
- Integrated Components
- Sensors mounted via precision brackets
- Micro-pump integrated with tubing, valves, and seal ports
- MCU (STM32F4) and BLE module (nRF52840) placed in removable control pods
- Dual-wavelength IR LED arrays (660nm & 850nm) embedded for thermal therapy
- Sensors mounted via precision brackets
🧪 Live Testing & Iteration
🧪 Live Testing & Iteration
🧪 Live Testing & Iteration
- Fit & Function Trials
User testing across 15–30 minute sessions focused on wearability, thermal control, seal reliability, and balance.
- Sensor Calibration
BLE-streamed sensor data was used to:
- Verify algorithms for HRV, blink detection, and perfusion index
- Optimize saline cartridge delivery logic
- Validate IR therapy safety and effectiveness
- Iterative Redesign
AI-generated design refinements were reprinted within 48–72 hours. Gen 2 and 3 units were rapidly tested and optimized.
Holistic Healing
🧪 Live Testing & Iteration
🧪 Live Testing & Iteration
✅ Final Prototype Highlights
- Ergonomic, AI-mapped fit for long wear
- Top-loading, single-use saline cartridge system
- Real-time sensor fusion: PPG, IR, UV, pressure
- Dual-wavelength IR therapy array (660nm & 850nm)
- Bluetooth BLE connectivity with the RetinaReload™ iOS app
- Early insights into:
- Dry eye risk
- AMD (age-related macular degeneration) markers
- HRV variability
- IOP trends
- Autonomic nervous system status