Authentication System for Automobiles using Face Recognition Methodology

Vigneswaran, E. Esakki; Raj, Valliappan; Selvaganesh, M.

doi:10.1109/icssit53264.2022.9716551

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The paper [9] illustrates the construction of an authentication system for the security of rental cars. The algorithms used for image processing are Advanced Haar Cascade and Adaboost algorithm.…”

Section: A Review On Vehicle Security and Tracking Systemmentioning

confidence: 99%

Study on different types of sensors and Machine Learning Algorithms used for Surveillance Automobile System

Reddy,

Mishra

2023

E3S Web Conf.

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A broad range of modern technologies is used for surveillance as well as security of passengers in automobiles. These technologies include face identification, fingerprint identification, Iris identification, and speaker recognition. Among these face recognition and fingerprint recognition are most commonly used for the surveillance of the vehicle. The demand for face identification in automobiles is increasing as it serves better than that fingerprint technology. The face identification system involves both face recognition and face detection. Researchers have tried to implement a face recognition system in automobiles to detect facial features from a captured image using different machine learning algorithms. This will prevent an unauthorized person to enter the car and will lock the ignition system until and unless the person is recognized. This paper gives a brief review on different types of sensors combined with processing unit and different types of machine learning algorithms used for the vehicle security and tracking system using different technologies.

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Section: A Review On Vehicle Security and Tracking Systemmentioning

confidence: 99%