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Abstract: This review paper explores the integration of a comprehensive vehicle anti-theft system, combining fingerprint and passcode authentication with speed control and obstacle detection. The rising concern of vehicle hijacking and theft emphasizes the need for enhanced security measures within the automotive industry. Leveraging biometric systems, known for their effectiveness in diverse applications, proves to be a promising solution. Biometric systems utilize unique biological traits to identify individuals, employing algorithms to ensure accurate user identification. In this suggested system, the signals produced by the Arduino Uno are directed to the relevant circuit within the module. Simultaneously, paper delves into the crucial relationship between security and performance monitoring in vehicles, emphasizing the significance of the speedometer as a vital component. Furthermore, the study advocates for the development of a cost-effective obstacle avoidance system applicable to both robots and automobiles, aiming to prevent accidents and minimize damage. This comprehensive approach combines advanced security, performance monitoring, and obstacle detection, offering a multifaceted solution to mitigate the risks associated with vehicle theft and enhance overall safety in the automotive realm.
Shivesh Mehta (Wed,) studied this question.