International Business Machines Corporation

Michael Anson Lau

Romelia H Flores

Leonard Scott Hand

Christina I Flores

Marlentae A Johnson

Roberto R Rodriguez

Ronald J Rutkowski

Travis W Chun

Timothy C Kwan

Susan Jachin Christian

Pushpita Panigrahi

Object disposal recommendations are generated by classifying an object within an image based on object recognition and metadata of the image and comparing the object and metadata to a corpus of object classification images. A current object state is determined relative to disposal recommendation, based on disposal policies. Responsive to determining disposal of the object in the current state is not recommended, one or more components of the object are identified, and a determination made as to a recommendation for disposal of the one or more object components. If a disposal recommendation is found for the one or more components of the object, the processor generates information to disassemble and prepare the one or more components of the object for disposal and provides disposal recommendation for the one or more components of the object.

Enabling intelligent disposal

An approach is provided for selecting and displaying one or more images. A determination is made that a user is in a proximity to a digital picture frame. Weather information is received from a weather sensor coupled to the digital picture frame. The weather information specifies a current weather of a geographic location that includes the digital picture frame. Based on the current weather, an emotional state of the user is determined. Based on user profile information corresponding to the user, image(s) included in multiple images are determined to convey the emotional state of the user. Based on the emotional state of the user and the image(s) conveying the emotional state, the image(s) are displayed on a display included in the digital picture frame.

Empathetic image selection

An enterprise IoT concentrator can receive, from a first community IoT concentrator, first data corresponding to a security issue detected by at least one of a first plurality of devices located within a first physical environment, wherein the first plurality of devices are communicatively linked to one another within a first device domain that is a member of a first device community which includes the first community IoT concentrator. Responsive to receiving the first data, the enterprise IoT concentrator can process the first data to generate second data corresponding to the security issue. The second data can be configured to be processed by a second community IoT concentrator to initiate at least one device located within a second physical environment to perform a specific act that enhances security in the second physical environment. The enterprise IoT concentrator can communicate the second data to the second community IoT concentrator.

Leveraging an internet of things to initiate a physical object to perform a specific act that enhances security

An approach is provided for selecting and displaying image(s). A user and user profile information corresponding to the user are identified. A sentiment of the user is identified by determining that user is in proximity to a digital picture frame in a room, receiving a measurement of ambient lighting of the room from a light sensor coupled to the digital picture frame, and determining an emotional state of the user based on the ambient lighting. Based on the user profile, an association is determined between the sentiment of the user and sentiment(s), which are determined to be conveyed by image(s). Based on the ambient lighting, the association between the sentiment of the user and the sentiment(s), and the image(s) conveying the sentiment(s), the image(s) are selected from multiple images. The selected image(s) are displayed on a display included in the digital picture frame.

A first community Internet of Things (IoT) concentrator can receive first data corresponding to an interaction of a user with at least one of a first plurality of physical objects, the first plurality of physical objects communicatively linked to one another within a first device domain. Responsive to receiving the first data corresponding to the interaction of the user with the at least one of the first of the plurality of physical objects, the first community IoT concentrator or a second IoT concentrator can initiate, based at least in part on the first data, at least one of a second plurality of physical objects to perform a specific act that enhances an interaction of the user with the at least one of the second plurality of physical objects. The second plurality of physical objects can be communicatively linked to one another within a second device domain.

Leveraging an internet of things to initiate a physical object to perform a specific act that enhances an interaction of a user with the physical object

Embodiments of the present invention provide methods, computer program products, and systems for leveraging social networks in physical gatherings. Embodiments of the present invention generate profiles for participants at the physical gathering. Embodiments of the present invention can enrich the participants experience at the physical gathering by providing information to the participant, based on the profile for the participant.

Leveraging social networks in physical gatherings

An approach is provided for selecting and displaying image(s). A user and user profile information corresponding to the user are identified. A sentiment of the user is identified. Based on the user profile information, an association between the identified sentiment of the user and sentiment(s) is determined. The sentiment(s) are included in a plurality of sentiments conveyed by a plurality of images. Image(s) included in the plurality of images are determined to convey the sentiment(s). Based on the association between the identified sentiment of the user and the sentiment(s) and the image(s) conveying the sentiment(s), the image(s) are selected from the plurality of images. The selected image(s) are displayed.

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Arlington, TX, United States of America

Michael Anson Lau