Car security system with face recognition using Convolution Neural Network

Different automobile security systems have emerged over time as a replacement to the normal locks for safety. But security and privacy flaws have been observed over time. This is a serious fault, as normal locks are not very safe. Also, people have always struggled to find their keys. This project is focused upon creating a more secure and simple security system using face recognition system. The main objective of the project is to form a more secure and simpler system for automobile using Siamese Neural Network, which would allow the user to not carry keys to unlock or start the car all the time. There have been many apt uses for this algorithm which involves systems using various datasets to perform comparisons and identifications. This would allow the user to hold a very distinctive access to the car while attempting to nullify the possibility of replicating the key. Basically, only a registered identity of the user with respect to his facial observational values would be matched to grant access to the system. So therefore, with a larger dataset, thorough accuracy could be achieved relentlessly.Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 6th International Con-ference on Recent Advances in Material Chemistry (ICRAMC-2022).