• kanupriya
• Ali Saif
• Shivani Sharma
• Ritika Sharma

This project focuses on the design and implementation of AI ADAS SYSTEM employing advanced electronics. The primary objective is to enhance the protection of vehicles and driver against the terrible accidents happening on roads. The proposed system incorporates a combination of ultrasonic and IR sensors, LED, buzzer, Arduino and webcam for security purpose. The implemented ADAS system demonstrates high efficiency in detecting and preventing daily accidents. The webcam detects the position and movements of the driver. If the driver will feel sleepy and drowsiness then vehicle will be on auto mode and when a hurdle come in between then vehicle will stop and buzzer start horning. This project successfully establishes an advanced vehicle security system through the integration of cutting-edge electronics. The system not only detects the driver’s movement but also keep our vehicle safe. The effectiveness of the system in real-world scenarios highlights its potential for widespread adoption in the automotive industry, contributing to the ongoing efforts to enhance vehicle security

headlight, vehicle, temporary blindness, Buzzer

"AI ADAS SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.g799-g801, May-2024, Available :http://www.jetir.org/papers/JETIR2405700.pdf

"AI ADAS SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppg799-g801, May-2024, Available at : http://www.jetir.org/papers/JETIR2405700.pdf