Low power camera sensing for artificial intelligence (ai) assistance
AssigneeQUALCOMM Incorporated
InventorsWesley James HOLLAND, Ziad ASGHAR
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Abstract
Systems and techniques are described for artificial intelligence (AI) assistance. For example, a computing device associated with a user can obtain, from one or more image sensors of the device, a plurality of images of a scene. The computing device can determine, based on at least one of the plurality of images or a previous event occurrence, one or more contexts for the scene. The computing device can determine, based on the one or more contexts, one or more events. The computing device can monitor, by the one or more image sensors, the scene for the one or more events.
Claims20
An apparatus for artificial intelligence (AI) assistance, the apparatus comprising:
- at least one memory;
- and
- at least one processor coupled to the at least one memory and configured to:
- obtain, from one or more image sensors of a device associated with a user, a plurality of images of a scene;
- determine, based on at least one of the plurality of images or a previous event occurrence, one or more contexts for the scene;
- determine, based on the one or more contexts, one or more events;
- and
- monitor, using the one or more image sensors, the scene for the one or more events.
An apparatus for artificial intelligence (AI) assistance, the apparatus comprising:
- at least one memory;
- and
- at least one processor coupled to the at least one memory and configured to:
- obtain, from one or more image sensors of a device associated with a user, a plurality of images of a scene, wherein each image of the plurality of images is obtained at a respective time;
- determine, based on the plurality of images, one or more contexts for the scene;
- encode, based on the one or more contexts, each image of the plurality of images to produce a respective image encoding for each of the plurality of images;
- receive a query from the user;
- generate a prompt based on the query and the one or more contexts;
- encode the prompt to produce a prompt encoding;
- generate, based on the respective image encodings and the prompt encoding, a token;
- and
- determine, based on decoding the token, an answer to the query.
Dependencies are inferred from the claim text.