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The human face is one of the easiest characteristic, which can be used in biometric security system to identify a user. Face recognition technology, is very popular and it is used more widely because it does not require any kind of physical contact between the users and the device. Camera scans the user face and match it to a database for verification. Furthermore, it is easy to install and does not require any expensive hardware. Facial recognition technology is used widely in a variety of security systems such as physical access control or computer user accounts.In this paper, we present an access control vehicle system to the park based on camera installed at the parking entry.First, we use the non-adaptive method to detect the moving object, and we propose an algorithm to detect and recognize the face of the driver who want to enter to the parking and verify if he is allowed. We use Viola-Jones method for face detection and we propose a new technique based on PCA, and LDA algorithm for face recognition.

Drowsiness of drivers is amongst the significant causes of road accidents. Every year, it increases the amounts of deaths and fatalities injuries globally.In this paper, a module for Advanced Driver Assistance System (ADAS) is presented to reduce the number of accidents due to drivers fatigue and hence increase the transportation safety; this system deals with automatic driver drowsiness detection based on visual information and Artificial Intelligence.We proposed an algorithm to locate, track, and analyze both the drivers face and eyes to measure PERCLOS, a scientifically supported measure of drowsiness associated with slow eye closure.

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