Teton's Fall Detection system uses a device equipped with a camera to monitor the room, analyzing live video feeds through AI models that are processed locally. These models interpret human activity within the camera’s field of view and make real-time predictions, specifically detecting falls. At night, infrared lighting is used to enhance visibility, ensuring continuous monitoring.Once a fall is detected, the processed data is securely transmitted to care staff through a dedicated server, enabling timely intervention. The focus of this feature is precision and reliability, ensuring patient safety while minimizing system complexity by concentrating solely on fall detection rather than the broader ecosystem of the Teton One system.
A software program designed to be used in a healthcare setting to track the movements of an inpatient, typically a patient in a hospital side/isolation room or nursing home, to detect high-risk behaviour (e.g., bedridden patient bed vacation attempt, fall risk) and automatically send alert notifications to healthcare staff via a central monitoring station or nurse call system in response. It is used in conjunction with video surveillance motion sensors/cameras and is intended to analyse patient motion with respect to predetermined motion threshold references.