CorrActions has developed a software-only Driver NeuroMonitoring System that utilizes AI and machine learning to analyze brain signals reflected in muscle micro-motions, enabling real-time monitoring of drivers' cognitive states, including fatigue and blood alcohol content. This technology addresses the critical issue of impaired driving by providing accurate assessments without collecting personal data, enhancing road safety for both drivers and passengers.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
VCFounders
Product
Problem
Existing driver monitoring systems often rely on intrusive methods or fail to accurately assess cognitive impairment in real-time. Detecting driver fatigue, intoxication, and cognitive load remains a challenge, leading to increased accident risks. Traditional methods may also raise privacy concerns due to the collection of personal data.
Solution
CorrActions' NeuroMonitor is a software-only Driver Monitoring System (DMS) that uses AI and machine learning to analyze brain signals reflected in muscle micro-motions. This technology enables real-time monitoring of a driver's cognitive state, including fatigue, blood alcohol content (BAC), and cognitive load, without collecting personal data. The system uses existing in-cabin motion sensors such as the steering wheel, driver's seat, in-cabin radar, and infotainment system to gather data. By providing accurate, real-time assessments of driver impairment, NeuroMonitor enhances road safety for both drivers and passengers.
Target Audience
The primary target audience includes automotive OEMs, Tier 1 suppliers, fleet management companies, and transportation service providers seeking to enhance driver safety and reduce accidents.
Features
- Software-only solution that integrates with existing in-cabin sensors
- AI and ML-based analysis of muscle micro-motions to infer cognitive states
- Real-time monitoring of driver fatigue, BAC, cognitive load, and other cognitive impairments
- Non-intrusive monitoring without collecting personal or sensitive data
- Integration with fleet management systems for proactive safety interventions
- Customizable alerts and interventions based on detected cognitive impairments
- Compatibility with various vehicle types and sensor configurations