Contactless measurement
Measuring vital signs remotely using video-based rPPG technology and eliminating the discomfort associated with contact-based solutions.
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.
Measuring vital signs remotely using video-based rPPG technology and eliminating the discomfort associated with contact-based solutions.
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.
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.
Applicable to any device with an adequate video camera (refer to FAQ for hardware
specs).
Under PixelHeartVitals SDK edge computing system architecture, stable and speedy measurements are achieved, while no Internet connection is needed during the measuring period.
By merely displaying the measured vital signs data, PixelHeartVitals SDKneither stores nor makes use of the measuring results, thus eliminating any data privacy concerns.
UReady-to-use solution packaged in an SDK, saving your time and costs for application developments and service deployments.
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 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.
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 |
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) |
Integrate real-time health monitoring into wellness apps for users
to track their vitals effortlessly.
Ideal for telehealth applications, allowing healthcare providers
to monitor patients' vitals remotely.
Incorporate non-invasive health checks into employee wellness
initiatives, ensuring a healthy workforce.
No need for wearables—just use a smartphone or tablet camera.
Built with advanced machine learning to ensure reliability and accuracy.
Flexible and easy to integrate, making it suitable for a wide range of health applications