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Autonomous driving technology has advanced significantly in recent years, thanks to the innovations in vehicle design and artificial intelligence. This technology provides a more convenient and comfortable driving experience for both drivers and passengers. However, current autonomous driving systems still face some difficulties, such as the need for human intervention in critical situations. Switching control from the system to the driver without assessing their alertness or health status could pose a risk. Therefore, autonomous driving systems should be able to monitor and evaluate the driver's condition before handing over the control. This paper thus proposes an in-cabin detection system that monitors driver status using a camera. The system consists of software modules that use deep learning techniques to analyze the input from an IR camera.