Soberride
SoberAI provides an AI-powered intoxication detection system that measures a driver's Breath Alcohol Content (BrAC) and prevents vehicle operation if the driver exceeds the legal limit of 0.08% BAC. The system combines a novel machine learning model for face-based intoxication detection with a passive alcohol detection sensor integrated with a real-time data algorithm. The technology is protected by a U.S. patent and based on published academic research presented at venues such as MIT.
- Automotive Technology
- Mobility & Transportation
- Artificial Intelligence
- Internet of Things
- Hardware
Funding
Founders
Founder details are not available yet.
Product
Problem
Drunk driving remains a major societal safety issue, causing thousands of preventable fatalities and injuries each year. Current prevention methods rely on law enforcement checkpoints or voluntary decisions, which are insufficient to stop intoxicated individuals from getting behind the wheel.
Solution
SoberAI offers an AI-powered intoxication detection system that automatically measures a driver's Breath Alcohol Content (BrAC) before allowing vehicle operation. The system only permits the vehicle to start if the driver is within legal alcohol limits (0.08% BAC). It pairs a novel machine learning model for face-based intoxication detection with a passive alcohol detection sensor, enabling non-intrusive screening. Real-time data algorithms process sensor inputs to deliver accurate and immediate results, ensuring that impaired drivers cannot operate the vehicle.
Target Audience
Primary customers are automotive manufacturers, fleet operators, and policymakers seeking integrated, automated solutions to prevent drunk driving and improve road safety.
Features
- Machine learning model specifically trained for face-based intoxication detection
- Passive alcohol detection sensor that measures BrAC without requiring active user cooperation
- Real-time data algorithm that integrates sensor readings with ML predictions for immediate decision-making
- U.S. patent protection for the combined detection technology
- Backed by published academic research presented at venues such as MIT