| CPC G06F 3/012 (2013.01) [G06F 3/011 (2013.01); G06F 3/14 (2013.01); G06F 18/214 (2023.01); G06V 10/764 (2022.01); G06V 20/20 (2022.01); G06V 40/172 (2022.01); G06V 40/18 (2022.01); H04B 7/155 (2013.01); H04L 67/10 (2013.01)] | 20 Claims |

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1. A method comprising:
receiving, at a first time, local target data captured via one or more sensors of a first wearable system comprising a first head-wearable device, the local target data comprising a direction associated with the first wearable system;
receiving image data captured via a camera of the first wearable system, the image data associated with a field of view of the first head-wearable device;
in response to receiving the local target data and further in response to receiving the image data, determining trained target data based on the local target data and further based on the image data, wherein said determining the trained target data comprises applying the local target data and the image data as inputs to a convolutional neural network; and
transmitting, to a second wearable system, the trained target data;
wherein the second wearable system is configured to:
detect an object in a field of view of the second wearable system; and
determine, at the second wearable system based on the trained target data, whether the detected object comprises a target object, wherein said determining whether the detected object comprises a target object is based on the convolutional neural network.
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