Yeswici Video2Vitals+

Video2Vitals Contactless AI Triage Command Center

Video2Vitals+ (V2V) uses a standard digital camera to measure a patient's vital signs without touching them. 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). It eliminates physical wires, artificial stress (white-coat effect), and cross-contamination. IP protection: USPTO 19/565,788

How the "Magic" Works: rPPG Technology

👤

Facial Recognition & Tracking

The system uses advanced computer vision algorithms to instantly find and lock onto the patient's face in the live video feed, tracking them continuously.

🎨

Microscopic Color Tracking

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.

📈

Signal Processing (rPPG)

Using Remote Photoplethysmography (rPPG) and Fast Fourier Transforms, it isolates the patient's exact pulse wave from background noise and lighting changes.

🌍

Melanin Correction Engine

Integrates the Fitzpatrick Skin Phototype Scale to dynamically adjust for melanin levels, preventing signal dampening and ensuring high accuracy across all skin tones.

Contactless Vital Sign Extraction

❤️

Heart Rate (HR) & Oxygen (SpO2)

HR: Extracted via the Green color channel, highly absorbed by hemoglobin.
SpO2: Calculated using the "Ratio of Ratios" between Red and Blue light absorption.

🌬️

Respiratory Rate & Blood Pressure

RR: Tracks rhythmic physical head/shoulder movements.
BP: Estimated via Pulse Transit Time (PTT), measuring delays in facial vessel blood pulses.

🎯

Dynamic Accuracy Confidence (ACC)

An internal 0-100% confidence score that continuously evaluates data quality.

Video2Vitals UI Interface

Primary Deployment Use Cases

🏥

Hospital Contactless Triage

Replaces obtrusive medical monitors in waiting rooms, automatically triaging patients continuously while preventing cross-contamination.

🧓

Elderly Collapse Predictor

Passively monitors individuals in eldercare via CCTV to predict imminent physiological collapse (cardiac arrest, fainting) before it happens.

💻

Autonomous Telehealth Agent

Assists doctors during virtual appointments by looking at patients through their smartphone webcams to read vitals and provide preliminary AI diagnosis.

✈️

Operator Impairment Monitor

Installed in automotive/aviation cabins to monitor commercial drivers and pilots for signs of drug impairment, fatigue, or microsleeps.

Predictive Collapse Risk (PredCC)

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.

0-2

STABLE

Vitals are normal. Less than 1% risk of physiological collapse.

3-4

MODERATE RISK

Elevated risk detected. Physiological collapse possible within 12-24 hours.

5-7+

HIGH RISK / CRITICAL

Severe deviation. Collapse is imminent or highly possible within 1-6 hours. Triggers red UI alerts.

✓

Built-In Validity Analysis

Internal tabs calculate the Percentage of Difference (POD) and Mean Absolute Error (MAE) directly against physical hardware.

Live Standard Camera Feed
rPPG Signal Extraction Engine
Skin Phototype & Sensitivity Smoothing
NEWS2 AI Risk Scoring Analysis
Critical Clinical Alert Generation

About the Technology

Yeswici LLC is the creator of the Video2Vitals Contactless AI Triage & Tracking System (C-ATTS). Designed to monitor patient health using standard digital cameras instead of physical sensors, this technology improves patient comfort 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.

Company Details

Yeswici LLC
Maryland, USA

UEI: GCMDC97EKPL9
CAGE: 6HKU6
Patent Ref: USPTO 19/533,193

Demonstrations
  • ★ Hospitals (Demonstrated)
  • ★ NIH (Demonstrated)
  • ★ Doctors (Demonstrated)
  • ★ Army (Submission)
Team & Contact

ex-Hopkins Faculty
ex-IBM | ex-GD Chief

Email: cto@pnncapitalus.com
Phone: (410) 251-2823
Web: https://ranty.net