Abstract: Most of the times, vehicles used in crime would be a stolen one and can gimmick us in the name of various services like Ola, Uber. To avoid such thefts and the crimes accompanied by it, we need to increase the vehicle accessing systems. There are a lot of authentication systems available in the market such as drawing patterns, voice commands, biometric sensors, RF car keys, etc. Face recognition is one of the important and efficient authentication system among those. Thus the purpose of this project is to authenticate drivers at engine start using dual verification system and to connect the vehicle with the internet for enabling the framework “Internet Of Things” so that every time the registered dataset is retrieved from the server and is correlated with the real time data of the driver. Thus we are proposing this model for public vehicles authentication systems.

Keywords: Raspberry Pi, Pi Camera, Firebase, HTML, CSS, JavaScript, HOG Algorithm.

| DOI: 10.17148/IJIREEICE.2021.9433