| CPC H04N 23/66 (2023.01) [G06F 3/167 (2013.01); G06Q 20/123 (2013.01); G06Q 20/322 (2013.01); G06Q 20/3224 (2013.01); G06Q 20/40145 (2013.01); G06T 1/20 (2013.01); G06T 11/00 (2013.01); G06V 20/20 (2022.01); G06V 20/35 (2022.01); G11B 27/031 (2013.01); H04L 65/61 (2022.05); H04L 65/764 (2022.05); H04L 67/53 (2022.05); H04M 1/6041 (2013.01); H04M 1/72454 (2021.01); H04N 5/28 (2013.01); H04N 5/77 (2013.01); H04N 9/8205 (2013.01); H04N 23/661 (2023.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); H04M 2250/52 (2013.01); H04M 2250/74 (2013.01)] | 7 Claims |

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1. An apparatus comprising:
a time of flight (TOF) sensor;
a camera;
a laser projection system;
one or more processors;
memory storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations comprising:
training a deep learning network with historical user context data;
capturing, with at least one of the TOF sensor or the camera, context data;
determining, with the trained deep learning network, a user preference based on the context data;
selecting, an application, based on the user preference and the context data;
processing, with the selected application, the context data into a presentation; and
projecting, using the laser projection system, at least a portion of the presentation on a surface.
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