Russian taxi drivers will now undergo facial recognition, in order to detect exhausted drivers and require them to rest. The device will be located on a car windshield and it contains software that is sensitive to sings of excessively tired individuals. The system will pick up on Russian taxi drivers who display excessive blinking, yawning or poor posture. The software is able to derive a person's condition based on 68 facial data points.
The company is implementing the software in response to current events in Moscow. Where the city saw 764 car crashes, which resulted in 23 deaths. The facial recognition software will be used in an effort to reduce crashes and fatalities.
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Key Themes Behind This Trend
- Facial Recognition Safety
- Opportunity for businesses to develop facial recognition technology to detect signs of fatigue and improve safety.
- Driver Monitoring Systems
- Potential for industries to create software and devices that monitor driver behavior for fatigue detection and prevention.
- Artificial Intelligence in Transportation
- Innovative use of AI technologies to enhance safety measures in the transportation industry, such as fatigue detection systems.
Where This Applies
- Transportation
- Transportation companies can adopt facial recognition and driver monitoring systems to improve safety standards.
- Software Development
- Opportunity for software developers to create advanced facial recognition software and driver monitoring systems.
- Automotive Technology
- Automotive technology manufacturers can incorporate facial recognition and AI-based safety systems into vehicles to prevent accidents caused by driver fatigue.
