An enhanced automatic activation device (EAAD) is provided. The EAAD includes a housing; a plurality of environmental sensors disposed within the housing; a connection to a reserve canopy deployment mechanism, the connection being disposed at least partially within the housing; and a processor coupled to the plurality of environmental sensors and the connection. The processor is configured to execute a machine learning process. The machine learning process is configured to classify environmental data from the plurality of environmental sensors into either a first group associated with nominal deployment of a main canopy of a parachute rig or a second group associated with failed deployment of the main canopy of the parachute rig. The processor is also configured to transmit a signal to the reserve canopy deployment mechanism where the machine learning process classifies the environmental data within the second group.
Enhanced automatic activation device
2022-12-27
Patent
Elektronische Ressource
Englisch