Abstract: Individual consumer NFT behavior is collected and analyzed. Various offers from retailers are targeted to certain consumer NFT behavior along with other characteristics, such as demographics, location, time, and the like. Once a match is identified, an individualized coupon offer is made to the consumer. By offering relevant and personalized promotions, businesses can increase customer loyalty, engagement, enhance user experience and potentially increase sales.

Abstract: A renter establishes an NFT token through an app to include rental history. The rental history is updated via automated data reporting service processes periodically across one or more addresses of the renter on the NFT token. An NFT engine mints NFT tokens and processes and secures transactions. The NET token can be accessed by a third party or automated data reporting service processes to review and use embedded data for rental verifications, advertisements, and other purposes.

Abstract: AI data and datasets that are represented as NFTs and carry all applicable data for a dataset's provenance, authenticity, and ownership. NFTs are used to validate datasets useful in AI training and can also be used to identify datasets that include faulty, biased, or otherwise erroneous data to improve predictive usefulness and reliability in decision making from the AI models.

Abstract: A user position is tracked with a smart phone or other device or mechanism. NFTs associated with a current position are identified in real-time with movement. Certain NFTs are also related to a current time at the current position. Transactions are recorded in the associated NFTs.

Abstract: Health information about an individual patient is collected from public and private systems into an electronic patient record. Health records can also be collected and maintained for clinical trial purposes. The records are represented as NFTs stored on a blockchain and securely exchanged in compliance with privacy, authentication, and healthcare data protocols.

Abstract: A retailer initiates a transaction or promotion by sending an offer to a consumer over a chat application. The consumer completes the transaction by accepting the offer in actuating a digital button or otherwise on a computing device or terminal. A digital wallet is generated and the transaction is recorded in an NFT.

Abstract: A subscriber establishes or acquires an NFT token concerning a specific sports player. The subscriber can be a player, a coach, a fan, a sports writer, advertiser, or the like. The player history is updated on the NET token by different data sources. An NFT engine mints NFT tokens and processes and secures transactions. The NFT token can be accessed by a third party to review and use embedded data for player scouting, advertising, promotion and other purposes.

Abstract: Meeting participation and presentation information about an individual or project is collected from public and private systems into an electronic record. The data is represented as NFTs and stored on a block chain and used to reward participants based on their contributions and actions relating to the meeting or due to the presentation. All of this is done securely and in compliance with privacy protocols.

Abstract: Carbon usage is monitored and recorded from emissions of one or more sources associated with carbon consumers. Public and private metadata about sources are maintained. A block chain records carbon credit transactions representing savings in the carbon footprint.

Abstract: A time lapse video is created in real-time, without post-production. User configurations are set for a time lapse video recording. A real-time video feed is received into a buffer. Based on a user configuration for frequency, certain frames in the buffer can be discarded prior to generating the video file. The time lapse video is output as a video file according to user configurations.

Abstract: A time lapse video is created in real-time, without post-production. User configurations are set for a time lapse video recording. A real-time video feed is received into a buffer. Based on a user configuration for frequency, certain frames in the buffer can be discarded prior to generating the video file. The time lapse video is output as a video file according to user configurations.

Abstract: A time lapse video is created in real-time, without post-production. User configurations are set for a time lapse video recording. A real-time video feed is received into a buffer. Based on a user configuration for frequency, certain frames in the buffer can be discarded prior to generating the video file. The time lapse video is output as a video file according to user configurations.

Abstract: A time lapse video is created in real-time, without post-production. User configurations are set for a time lapse video recording. A real-time video feed is received into a buffer. Based on a user configuration for frequency, certain frames in the buffer can be discarded prior to generating the video file. The time lapse video is output as a video file according to user configurations.

Abstract: A time lapse video is created in real-time, without post-production. User configurations are set for a time lapse video recording. A real-time video feed is received into a buffer. Based on a user configuration for frequency, certain frames in the buffer can be discarded prior to generating the video file. The time lapse video is output as a video file according to user configurations.

Abstract: A time lapse video is created in real-time, without post-production. User configurations are set for a time lapse video recording. A real-time video feed is received into a buffer. Based on a user configuration for frequency, certain frames in the buffer can be discarded prior to generating the video file. The time lapse video is output as a video file according to user configurations.

Abstract: Techniques for toggling sleep modes. A gesture associated with the mobile device that is in a first mode is detected. The can be gesture indicative of a user toggling the sleep mode of the mobile device from a first mode. Responsive to the gesture, the first mode can be switched to a second mode. In the second mode at least one component of the mobile device is either powered-up or powered-down.

Abstract: Techniques for serving location-based, context aware advertisements. A server receives location and contextual information associated with a user device and/or a user. One or more ads are selected from a database of ads for the user based on where the user device is located and activity of the user with the user device. Ads are then to the user device for display. The contextual information is based on user interactions with a user device. The user interactions include opening and closing applications, and input and output of the applications.