What is PixelHeartVitals SDK?

PixelHeartVitals SDK is part of the PixelCareConnect product line, providing developers with software modules to easily integrate contactless vital signs measurement into their applications. This SDK allows for real-time monitoring of key health metrics using facial recognition technology, offering a non-invasive solution that only requires a single camera. Currently, PixelHeartVitals SDK supports four types of operating systems and is compatible with hardware devices equipped with adequate camera capabilities, making it versatile and easy to integrate.

PixelHeartVitals SDK
Key Features

Contactless measurement

Measuring vital signs remotely using video-based rPPG technology and eliminating the discomfort associated with contact-based solutions.

Measuring in 40~60 seconds

Reporting first heart rate value within 10 seconds. HRV, respiratory rate, stress index, blood pressure and blood oxygen will be displayed consecutively after 34 seconds.

HR within ± 3-5 bpm accuracy

Compared to FDA-cleared medical devices, the accuracy of PixelHeartVitals SDK measurements of heart rates are within ± 3-5 bpm, whereas blood pressures are within ± 6-12 mmHg.

Using a single video camera

Applicable to any device with an adequate video camera (refer to FAQ for hardware specs).

No internet connection needed

Under PixelHeartVitals SDK edge computing system architecture, stable and speedy measurements are achieved, while no Internet connection is needed during the measuring period.

No privacy and security concerns

By merely displaying the measured vital signs data, PixelHeartVitals SDKneither stores nor makes use of the measuring results, thus eliminating any data privacy concerns.

Flexible integrations of SDK

UReady-to-use solution packaged in an SDK, saving your time and costs for application developments and service deployments.

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How It Works

PixelHeartVitals SDK utilizes advanced AI and facial recognition technology to analyze subtle facial changes, extracting vital health metrics. The AI algorithms analyze facial video data captured by the device’s camera to estimate health metrics accurately.


PixelHeartVitals SDK powers people to regain the ownership over their health and experience convenience like never before by revolutionizing the way they measure vital signs.

Input Basic Information

PixelHeartVitals SDK collects your personal information (age, gender, etc.) for more accurate calculations.

Facial Detection and Measurement

When you face the camera, PixelHeartVitals SDK will detect and track your face while measuring your key vital signs. You don't need to remove your glasses during the measurement.

Image Processing and Data Analysis

With the aid of advanced AI and deep learning algorithms, PixelHeartVitals SDK extracts and analyzes the relevant rPPG signals from your facial images during the measuring period, and formulates an oscillograph by recording the subcutaneous blood flow underneath the area between your eyebrows and lips.

PixelHeartVitals SDK uses a single video camera to extract and process rPPG signals for vital signs measurement. Key vital signs data are generated in less than a minute.

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Heart Rate

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Heart Rate Variability

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Blood Pressure

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Oxygen Saturation

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Respiration Rate

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Stress Index

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Atrial Fibrillation

What are PixelHeartVitals SDK Six Health Indicators?

PixelHeartVitals SDK Six Health Indicators correspond to different Heart Rate Variability (HRV) frequency measurements, such as LF, HF, LF/HF, etc. Six Indicators will be updated according to the current HRV values of each measurement, allowing people to understand their own health in a timely manner.

Level of mental energy

Sleep quality assessment

Overall wellness

Ability to boost your metabolism

Body's aging index

Stress fatigue level

Technical Specifications
Camera FPS Front Camera
FPS (Frames per Second) 15-30
Facial Image Size 100x100 pixels
Measurable State Immobility/fine movement
Distance 0-500cm or customized
Number of People Single/Multiple
Computation Edge and/or Cloud Computing
Illumination 150-650 lux
Color Temperature 3500K-6500K

Hardware Specifications

Platform OS Android 8.1 (and above)
IOS 12 (and above)
Windows 10 (and above)
Chipset CPU 64-bit Exynos 7904 (14nm)
CPU 4x1.7GHz Cortex-A53 (and above)
Display Resolution VGA:640 x 480 pixels (and above) Typical Specification: 1920 x 1080 pixels
Main Camera Auto Aperture 2MP, f/2.0, AF (and above)
Video 720p@30fps (and above)


Use Cases
Wellness and Fitness Apps:

Integrate real-time health monitoring into wellness apps for users
to track their vitals effortlessly.

Remote Patient Monitoring:

Ideal for telehealth applications, allowing healthcare providers
to monitor patients' vitals remotely.

Workplace Health Programs:

Incorporate non-invasive health checks into employee wellness
initiatives, ensuring a healthy workforce.





Why Choose PixelHeartVitals SDK?

Non-Invasive Convenience:

No need for wearables—just use a smartphone or tablet camera.

State-of-the-Art AI:

Built with advanced machine learning to ensure reliability and accuracy.

Scalable Solution:

Flexible and easy to integrate, making it suitable for a wide range of health applications






Get Started

Interested in integrating PixelHeartVitals SDK into your application? Contact us today to learn how you can enhance your health solutions with contactless vital signs monitoring.