TATeton.AI ApS · Model R1.0
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 s
Intended use: 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.
Preventive-maintenance tasks typical of this equipment class. Perform to the manufacturer's procedure and your facility's policy - this is general reference, not a schedule for this specific unit.
Where this class of equipment is typically deployed - general reference, not this unit's own placement record.
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