
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 also eliminates physical wires, artificial stress (white-coat effect), and cross-contamination.
- Watch Video for V2V+ Telehealth ($120B TAM, 40% Rates) | Video for V2V+ Tabs (11)
- Watch Video for V2V+ Triage: the future of triage is CPAW: Continuous (self-validated vitals), Predictive (alerts, preventive care), Autonomous (charting), and Without wires (invisible)
- IP protection: USPTO 19/565,788, USPTO 19/555,797
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 the Green color channel, highly absorbed by hemoglobin.
SpO2: Calculated using the "Ratio of Ratios" between Red and Blue light absorption.
RR: Tracks rhythmic physical head/shoulder movements.
BP: Estimated via Pulse Transit Time (PTT), measuring delays in facial vessel blood pulses.
An internal 0-100% confidence score that continuously evaluates data quality.
Replaces obtrusive medical monitors in waiting rooms, automatically triaging patients continuously while preventing cross-contamination.
Passively monitors individuals in eldercare via CCTV to predict imminent physiological collapse (cardiac arrest, fainting) before it happens.
Assists doctors during virtual appointments by looking at patients through their webcams or smartphones to read vitals and provide preliminary AI diagnosis.
Installed in automotive/aviation cabins to monitor commercial drivers and pilots for signs of 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://ranty.net