- Customer Stories
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- Biosense
Biosense
Enabling self-diagnosis through AI & computer vision
Accuracy in blood pressure measurement
Heart rate measurement error
Contactless vitals measurement
Real-time vitals monitoring via face video
Healthcare
Industry
Mobile Development, AI Integration, Computer Vision, UX/UI, PoC Development
Services
United States
Location
$10,000 – $25,000
Budget
The goal was to allow users to measure heart rate and oxygen saturation without wearable devices or contact sensors.
See what we can do for youSolution
We developed a cross-platform MVP that uses computer vision and photoplethysmography (rPPG) to extract physiological signals from facial video.
Let’s talk about what’s possible
To develop a cross-platform MVP, Blackthorn AI applied:
Project duration
01-02 Weeks
Cross-platform mobile app, real-time visualization and error handling states
03-04 Weeks
Backend sync with EMR/EHR systems, Cloud deployment + secure APIs for data storage and retrieval
05 Week
Implementation of FDA/CE compliance workflows, Clinical validation studies on diverse cohorts
06-07 Weeks
Feedback loop & refinement of AI models, analytics dashboards for usage and performance.
Team Size
Delivering Impact
Beyond the values already highlighted, there’s even more to discover. Our commitment to innovation, client success, and impactful results sets us apart
Book a Meeting<5 BPM
Heart rate measurement errorCompared to reference devices
90%
Accuracy in blood pressure measurementValidated against clinical-grade devices using facial video analysis
100%
Contactless vitals measurementEnabled via smartphone face video
