Drowsy Driver Warning System Program Based Raspberry Pi 4 Model B With Speaker Audio Output And I2C 128x64 OLED
Program Sistem Peringatan Pengemudi Mengantuk Berbasis Raspberry Pi 4 Model B Dengan Output Audio Speaker Dan I2C OLED 128x64
DOI:
https://doi.org/10.21070/ups.7273Keywords:
Raspberry Pi 4 Model B, EAR(Eye Aspect Ratio), DrowsinnesAbstract
Computer vision-based image processing has emerged as an effective method to detect drowsiness by analyzing facial features, especially eye movements and blink duration. Raspberry Pi 4 Model B is a device that supports to implement a real-time drowsiness detection system using computer vision-based image processing. Using Raspberry pi 4 model B as a computer used for computer vision as well as digital image processing, using two outputs as a warning for drowsy drivers, namely audio speakers to provide warnings in the form of sound and 128x64 OLED I2C as a visual warning to the driver. The results of these tests obtained an average response time of 0.75 for audio speakers on. This research can prove that the Raspberry Pi 4 model B can be used for drowsiness detection and warning.
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