The human face serves as a crucial communicator of various states and conditions. When a driver experiences fatigue, subtle changes in facial expressions, such as increased blinking and yawning, become apparent. This article introduces a novel system known as AlertPilot, designed to detect signs of driver fatigue using video analysis, thus eliminating the need for additional driver equipment. To overcome the limitations of existing algorithms, a new face detection algorithm is proposed to enhance tracking precision. Furthermore, a novel face detection approach utilizing 69 key facial landmarks has been developed. These landmarks are instrumental in assessing the driver’s condition. By analyzing facial cues, AlertPilot can issue fatigue alerts to the driver, primarily focusing on eye and mouth movements. Rigorous testing has demonstrated AlertPilot’s remarkable accuracy, achieving approximately 95% precision.