Enhanced automatic activation device

A method of deploying a decelerator using an enhanced automatic activation device (EAAD), the method comprising:

• obtaining, by the EEAD, a plurality of environmental data streams from a plurality of environmental sensors;
• segmenting, by the EEAD, each environmental data stream of the plurality of environmental data streams into a plurality of time windows, each time window of the plurality of time windows comprising a set of environmental data;
• executing, by the EAAD, at least one machine learning process;
• classifying, by the at least one machine learning process, environmental data of the plurality of segmented environmental data streams into either a first group associated with nominal deployment of a primary decelerator or a second group associated with at least partially failed deployment of the primary decelerator;
• and
• transmitting, by the EAAD, a signal to a deployment mechanism of a secondary decelerator where at least one criterion is met, the at least one criterion including that the environmental data is classified within the second group.

A non-transitory computer readable medium storing sequences of instruction for deploying a decelerator, the sequences of instructions comprising instructions configured to instruct at least one processor to:

• obtain a plurality of environmental data streams from a plurality of environmental sensors;
• segment each environmental data stream of the plurality of environmental data streams into a plurality of time windows, each time window of the plurality of time windows comprising a set of environmental data;
• execute at least one machine learning process configured to classify environmental data of the plurality of segmented environmental data streams into either a first group associated with nominal deployment of a primary decelerator or a second group associated with at least partially failed deployment of the primary decelerator;
• and
• transmit a signal to a deployment mechanism of a secondary decelerator where at least one criterion is met, the at least one criterion including that the environmental data is classified within the second group.