20240051390. Detecting sobriety and fatigue impairment of the rider using face and voice recognition simplified abstract (Reby Inc.)

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Detecting sobriety and fatigue impairment of the rider using face and voice recognition

Organization Name

Reby Inc.

Inventor(s)

Akash Kadechkar of Barcelona (ES)

Elisabet Bayo Puxan of Barcelona (ES)

Julio Gonzalez Lopez of Igualada (ES)

Xiaolei Song of Barcelona (ES)

Ricard Comas Xanco of Tordera (ES)

Eugeni Llagostera Saltor of Barcelona (ES)

Detecting sobriety and fatigue impairment of the rider using face and voice recognition - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240051390 titled 'Detecting sobriety and fatigue impairment of the rider using face and voice recognition

Simplified Explanation

The abstract describes a system and method for detecting rider impairment based on image or audio input in a rental fleet of lightweight vehicles. The system consists of a mobile device, a backend server, and the lightweight vehicles. Access to fleet vehicles is controlled by the mobile application based on the data collected about the prospective driver.

  • The system detects rider impairment using image or audio input.
  • It is implemented in a rental fleet of lightweight vehicles.
  • The system includes a mobile device, a backend server, and the lightweight vehicles.
  • Access to fleet vehicles is controlled by the mobile application.
  • The mobile application makes decisions based on the data collected about the prospective driver.

Potential Applications:

  • Rental car companies can use this system to ensure that only sober and capable drivers have access to their vehicles.
  • Ride-sharing companies can implement this system to enhance passenger safety and prevent impaired driving incidents.
  • Transportation services for elderly or disabled individuals can utilize this system to ensure that drivers are not impaired while providing assistance.

Problems Solved:

  • The system addresses the problem of impaired driving by detecting rider impairment before allowing access to the vehicles.
  • It helps prevent accidents and potential harm to both the driver and other road users.
  • The system provides a proactive approach to ensuring driver safety and reducing the risk of accidents caused by impaired driving.

Benefits:

  • Enhanced safety for rental fleet vehicles and their drivers.
  • Prevention of accidents caused by impaired driving.
  • Improved customer satisfaction and trust in rental and transportation services.
  • Reduction in legal liabilities for rental and transportation companies.


Original Abstract Submitted

a system and method for detecting rider impairment based on image or audio input is implemented in a rental fleet of lightweight vehicles. the system comprises a mobile device, a backend server, and one or more lightweight vehicles. access to fleet vehicles is controlled by the mobile application based on results of data collected about the prospective driver.

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