Pontosense develops coin-sized, contactless radio frequency (RF) sensors that monitor human biometrics like breathing and heart rate using proprietary AI/ML algorithms. These sensors enable real-time vital sign monitoring and activity analysis for applications in mobility, AgeTech, and smart homes. The technology enhances safety by detecting driver alertness, falls, and occupant presence through non-intrusive wireless sensing.
Funding
Funding not disclosed
Founders
Product
Problem
Existing methods for monitoring vital signs often require direct skin contact, which can be cumbersome, uncomfortable, and impractical for continuous or remote monitoring, especially in scenarios like driver monitoring or elderly care. These contact-based methods may also be limited in their ability to detect subtle physiological changes indicative of drowsiness, intoxication, or falls.
Solution
Pontosense offers a coin-sized, contactless radio-frequency (RF) sensor that remotely monitors vital signs, including breathing rate, heart rate, and heart rate variability (HRV). By using RF technology, the sensor captures biometric data without requiring physical contact, enabling continuous and unobtrusive monitoring. The sensor's capabilities extend to various applications, such as detecting driver drowsiness or intoxication through HRV analysis, monitoring elderly individuals for falls and health abnormalities, and enhancing in-cabin safety by detecting child presence and monitoring occupant vital signs. The company's patented sensor solution and proprietary AI/ML algorithms ensure low noise and high data resolution.
Target Audience
The primary target audience includes automotive manufacturers seeking to enhance driver and passenger safety, AgeTech companies focused on remote elderly care solutions, and smart home technology providers aiming to improve home monitoring capabilities.
Features
- Contactless monitoring of breathing rate, heart rate, and heart rate variability (HRV) using radio-frequency (RF) technology
- AI-driven analysis of biometric data for real-time insights into physiological conditions
- Driver monitoring capabilities, including detection of drowsiness, intoxication, and motion sickness
- Fall detection and health abnormality monitoring for elderly care
- In-cabin safety features, such as child presence detection and occupant vital sign monitoring
- Integration capabilities for smart home automation and alerts
- Patented sensor solution and proprietary AI/ML algorithms for low noise and high data resolution