This study aims to develop the security of the parking area using Face Recognition. In the era where almost all motorized vehicles were owned by everyone, the parking area was needed to drive the vehicle, so that the users could be calm with no crime such as theft of vehicles, the security system of face recognition (Face Recognition) was developed. how to collect data by taking it from the theory of books, journals, theses, and theses. After getting all that is needed for making this system, the design and manufacture of Source code will be carried out using Python 3.7. after that testing and maintenance is done in Python 3.7. in this study used 165 face images and extracting eigenvalue parameters on the face image. After the extraction process is carried out, training data with the eigenvalue data will be carried out. The results of the study will show that the face registered in the system is a requirement to exit the parking area because using the face recognition tool will exit data inputted by the user and the user can exit . The accuracy of this program is 80% -100%.