Landing an autonomous drone with gestures

A non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of an apparatus of an autonomous drone, cause the at least one processor to perform operations comprising:

• accessing a fly instruction from a person;
• capturing, a first image, the first image depicting a particular face of the person;
• sending the first image to an external computing device;
• receiving, from the external computing device in response to sending the first image, weights for a neural network to identify the particular face of the person;
• processing a second image using the neural network with the received weights, wherein a result of the processing indicates the person has the particular face;
• in response to the person having the particular face, changing a state of a navigation system to unlocked;
• lifting off the autonomous drone in response to the fly instruction;
• receiving sensor data;
• processing the sensor data to identify a gesture that indicates that the autonomous drone is to land;
• and
• verifying the gesture was performed by the person by processing a third image using the neural network with the received weights, wherein a result of the processing indicates the person has the particular face.

An apparatus of an autonomous drone comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, configure the processor to perform operations comprising:
• accessing a fly instruction from a person;
• capturing, a first image, the first image depicting a particular face of the person;
• sending the first image to an external computing device;
• receiving, from the external computing device in response to sending the first image, weights for a neural network to identify the particular face of the person;
• processing a second image using the neural network with the received weights, wherein a result of the processing indicates the person has the particular face;
• in response to the person having the particular face, changing a state of a navigation system to unlocked;
• lifting off the autonomous drone in response to the fly instruction;
• receiving sensor data;
• processing the sensor data to identify a gesture that indicates that the autonomous drone is to land;
• and
• verifying the gesture was performed by the person by processing a third image using the neural network with the received weights, wherein a result of the processing indicates the person has the particular face.