Automatic person collapse detection refers to the use of technology to identify and alert others when a person has fallen or collapsed. This technology is commonly used in healthcare settings, such as hospitals or nursing homes, to help prevent accidents and improve patient safety. We can use computer vision techniques to analyze video footage and detect when a person has fallen or collapsed. This may involve using machine learning algorithms to analyze patterns of movement and identify instances where a person has fallen or collapsed. Once a fall or collapse has been detected, an alert can be sent to caregivers or medical staff, who can then respond quickly to provide assistance. In some cases, the technology may also be integrated with other healthcare systems, such as electronic health records, to help ensure that patients receive the appropriate follow-up care. In this article, we going to present a deep learning based approach for person collapse detection