
Video2Vitals+ (AgenticOS-V2V) uses a standard digital camera to measure a patient's vital signs without physical contact. It tracks the patient, calculates their vitals in real-time, and uses an AI scoring system to predict if the patient's condition is likely to deteriorate (collapse) in future hours to save lives proactively. It is the first AI triage center to eliminate physical wires, artificial stress (white-coat effect), and cross-contamination.
- Watch Brief of V2V+ Telemedicine ($120B TAM, 40% Growth) | Demo of V2V+ Tabs (11)
- Watch Brief of V2V+ Triage ($20B TAM) | IP protection: USPTO 19/565,788, 19/555,797
© Copyright 2026 Yeswici LLC. All rights reserved. Permission required for distribution.
| Benefits | Video2Vitals | Medical Devices Currently in Use |
|---|---|---|
| Convenience | Remote assessment (contactless, wire-free) | Physical contact (probes, wires, cuffs) - e.g., elderly care |
| Speed | Instant / Real-Time (immediate continuous stream; zero setup time) | Slow / Delayed (minutes required for sensor hookups, cuff inflation & calibration) - e.g., physical assessment |
| Accuracy | Continuously assessed over hundreds of data points - adjustable by skin phototypes and sensitivity configuration | One data point (isolated spot-check) |
| Unique Feature | Unique collapse predictor and prevention (AI NEWS2 / PredCC) - elderly care | N/A |
The system uses advanced computer vision AgenticOS-VLA algorithms to instantly find and lock onto the patient's face in the live video feed, tracking them continuously.
It tracks the Red, Green, and Blue (RGB) pixels on the patient's cheeks and forehead, detecting color shifts caused by blood pulsing that are invisible to the human eye.
Using Remote Photoplethysmography (rPPG) and Fast Fourier Transforms, it isolates the patient's exact pulse wave from background noise and lighting changes.
Integrates the Fitzpatrick Skin Phototype Scale to dynamically adjust for melanin levels, preventing signal dampening and ensuring high accuracy across all skin tones.
HR: Extracted via Green color channel.
SpO2: "Ratio of Ratios" between Red and Blue light.
RR: Rhythmic physical movement.
BP: Pulse Transit Time (PTT) facial delay.
0-100% confidence score continuously evaluating data quality.
Replaces obtrusive monitors in waiting rooms, triaging patients continuously while preventing cross-contamination.
Passively monitors individuals in eldercare via CCTV to predict imminent physiological collapse before it happens.
Assists doctors during appointments through webcams or smartphones to read vitals and assist diagnosis.
Installed in cockpits and cabins to monitor operators for drug impairment, fatigue, or microsleeps.
The system interprets raw numbers using a modified NEWS2 (National Early Warning Score) algorithm, assigning points based on how far the patient's vitals deviate from normal baselines.
Vitals are normal. Less than 1% risk of physiological collapse.
Elevated risk detected. Physiological collapse possible within 12-24 hours.
Severe deviation. Collapse is imminent or highly possible within 1-6 hours. Triggers red UI alerts.
Internal tabs calculate the Percentage of Difference (POD) and Mean Absolute Error (MAE) directly against medical hardware.
Yeswici LLC is the creator and owner of Video2Vitals+ - the first Agentic AI video triage system. Designed to monitor patient health using standard digital cameras instead of physical sensors, this technology improves patient comfort (e.g., non-verbal, children) and provides early warnings for impending physiological collapse. The system supports dynamic clinical calibration and serves as a versatile solution for remote telehealth, elderly care, and automated hospital triage.
Yeswici LLC
Maryland, USA
UEI: GCMDC97EKPL9
CAGE: 6HKU6
Patent Ref: USPTO 19/555,797
ex-Hopkins Faculty
ex-IBM | ex-GD Chief
Email: cto@pnncapitalus.com
Phone: (410) 251-2823
Web: https://pnncapitalus.com