In this paper, a drowsiness prevention system was developed to prevent large-scaledisasters in traffic accidents. And drowsiness was predicted using face recognition facerecognition technique and eye blink recognition technique, and prediction was improved byapplying machine learning to improve drowsiness prediction. Additionally, the CO2 sensorchip was used to detect additional drowsiness prevention. In addition, STT (Speach To Text)was applied using voice recognition technology so that the driver can apply for a desiredmusic or broadcast or make a phone call in order to break drowsiness while driving
