In this paper the design and implementation of a real-time face recognition security system is presented. The security system demonstrates how surveillance can be adapted to offer a greater level of security with facial recognition. The security system was implemented in a four-person household. Results show that the designed facial recognition security system achieved a 100% training and 96% validation accuracy with a 100% accuracy on the test images dataset consisting of unseen images of the four enrolled users.