Security and Surveillance System for Drivers Based on User Profile and learning systems for Face Recognition

Loubna Cherrat, Mostafa Ezziyyani, Annas EL Mouden, Mohammed Hassar


Despite the large and spectacular development in the field of vehicle safety, particularly in the context of driver safety needs, solutions remain insufficient and independent. In this paper, we propose a new system that has been dubbed 3SD "Security and Surveillance System for Drivers". It is a multifunction system as a complete package based on intelligent sensors and cameras that constantly monitor the vehicle's environment and the behavior of the driver to detect early so potentially dangerous situations. In critical driving situations, these systems alert and actively help the driver; if necessary, they automatically intervene to prevent or mitigate the consequences of an accident. The package proposed includes an application comprising a set of pre-registered drivers in a specialized social network interconnected to a geolocation server for distributed real-time sharing of information and data useful for security and traffic. The system is based mainly on learning systems for face recognition based on advanced algorithms Viola and Jones, PCA and management of drivers profiles based on preferences to provide the following features: early detection of sleep, unconsciousness and poor driver behavior, security against theft of vehicles, driver comfort and control and sharing of traffic information in real time between the conductors.


Security, Surveillance, Detection, Behavior, mobile communication, geolocation, Web Service control systems.

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