An AI-driven automotive smart black box for accident and theft prevention Online publication date: Mon, 04-Jul-2022
by Muhammad Kashif Shaikh; Sellappan Palaniappan; Touraj Khodadadi
International Journal of Modelling, Identification and Control (IJMIC), Vol. 39, No. 4, 2021
Abstract: This paper proposes an automotive smart black box (SBB) for accident and theft prevention using artificial intelligence (AI). The SBB is a versatile device and can work with any type of vehicle including electric and conventional cars. It has five smart features including constant facial recognition through AI to identify the driver's face and drowsiness detection. Drowsiness detection will help avoid catastrophic disasters by alarming the drivers if they are about to fall asleep. The SBB also has a 24/7 voice-recording feature that can be used to identify the reasons that caused the accident. Another feature is real-time vehicle tracking using global system for mobile communication (GSM) technology. The SBB would immediately notify the owner if there is any abnormal vehicle movement and help prevent theft. Experimental results prove the efficacy of the designed SBB in recording the relevant information and helping prevent both accidents and thefts of vehicles.
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