The present invention relates to an artificial intelligence based real time drowsiness detection system using machine learning. The proposed system continuously monitors the driver's facial expressions and detects their facial landmarks to extract their state of expressions. Once it detects such changes system take control of the vehicle and immediately slows down the vehicle and alerts the driver through an alarm. Herein the proposed system Raspberry Pi with an inbuilt camera for real-time frame capturing is adapted and a buzzer is also interfaced to the Raspberry Pi to generate an alarm. Following invention described in detail with the help of figure 1 of sheet 1 shows marking facial landmarks of the proposed system. -1~7 *1s.1 40' .4 *6pa.. 4w ot ,04 No % Figur I Fiur


    Access

    Download


    Export, share and cite



    Title :

    AN ARTIFICIAL INTELLIGENCE BASED REAL TIME DROWSINESS DETECTION SYSTEM



    Publication date :

    2020-10-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B60K Anordnung oder Einbau von Antriebseinheiten oder von Kraft- bzw. Drehmomentübertragungen in Fahrzeugen , ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme



    Artificial Intelligence Based Drowsiness Detection

    Sankar Reddy, Merugu Siva / Potturi, Sudharani / M, Bhargavi K et al. | IEEE | 2023



    Real-Time Drowsiness Detection and Health Status System in Agricultural Vehicles Using Artificial Intelligence

    Soares, Beatriz / Oliveira, Daniel / Lau, Nuno et al. | Springer Verlag | 2024


    Development of Artificial Intelligence System for Driver Drowsiness Detection

    P S, Shiju Kumar / H, Ajay Bhaskar / M C, Aishwarya et al. | IEEE | 2025


    Real-Time Based Driver's Drowsiness and Fatigue Detection System

    Srivastava, Ashish / Bansal, Shreya / Sehgal, Satbir S | IEEE | 2022