SCALABLE CROSS-BOUNDARY EDGE FRAMEWORK
    41.
    发明公开

    公开(公告)号:US20240311110A1

    公开(公告)日:2024-09-19

    申请号:US18675416

    申请日:2024-05-28

    Inventor: Amol Ajgaonkar

    CPC classification number: G06F8/41

    Abstract: A build of a software solution that is cooperatively performed is automated. A broadcasting computing entity broadcasts an announcement of the functional operation of which the broadcasting computing entity is capable. Each of a plurality of listening computing entities connected to the network receives the announcement and compares the functional operation with a list of operational needs. After determining itself in need of performance of such a functional operation, a subscribing one of the plurality of listening computing entities transmits a response to the request indicating subscription to the output of the functional operation. The broadcasting computing entity then performs the functional operation, thereby generating and transmitting to the subscribing one of the plurality of listening computing entities the output of the functional operation. The subscribing one of the plurality of listening computing entities then performs an action using the output of the functional operation received.

    SCALABLE CROSS-BOUNDARY EDGE FRAMEWORK
    42.
    发明公开

    公开(公告)号:US20240311109A1

    公开(公告)日:2024-09-19

    申请号:US18675407

    申请日:2024-05-28

    Inventor: Amol Ajgaonkar

    CPC classification number: G06F8/41

    Abstract: A build of a software solution that is cooperatively performed is automated. A broadcasting computing entity broadcasts an announcement of the functional operation of which the broadcasting computing entity is capable. Each of a plurality of listening computing entities connected to the network receives the announcement and compares the functional operation with a list of operational needs. After determining itself in need of performance of such a functional operation, a subscribing one of the plurality of listening computing entities transmits a response to the request indicating subscription to the output of the functional operation. The broadcasting computing entity then performs the functional operation, thereby generating and transmitting to the subscribing one of the plurality of listening computing entities the output of the functional operation. The subscribing one of the plurality of listening computing entities then performs an action using the output of the functional operation received.

    SCALABLE CROSS-BOUNDARY EDGE FRAMEWORK
    43.
    发明公开

    公开(公告)号:US20240311105A1

    公开(公告)日:2024-09-19

    申请号:US18675380

    申请日:2024-05-28

    Inventor: Amol Ajgaonkar

    CPC classification number: G06F8/41

    Abstract: A build of a software solution that is cooperatively performed is automated. A broadcasting computing entity broadcasts a request to perform each of the functional operations in the selected set. Each of a plurality of listening computing entities connected to the network receives the request and determines capability of performing each of the functional operations in the selected set. After determining itself capable, a capable one of the plurality of listening computing entities transmits a response to the request indicating such capability, and then performs each of the functional operations in the selected set, thereby generating and transmitting to the broadcasting computing entity the output of the selected set of functional operations. The broadcasting computing entity then performs an action using the output of the functional operation received.

    ASSOCIATING DEMOGRAPHIC INFORMATION WITH CONSUMERS USING VIDEO DATA AND LOCATION INFORMATION

    公开(公告)号:US20240119438A1

    公开(公告)日:2024-04-11

    申请号:US18376514

    申请日:2023-10-04

    Inventor: Amol Ajgaonkar

    Abstract: A system for collecting demographic information and associating the demographic information with a purchase by a consumer includes an RF tag having identification information associated with the purchase by the consumer and configured to move in unison with the consumer, a first RF antenna configured to record a location of the RF tag via reception of the identification information from the RF tag, a camera configured to collected video data including the consumer, and a computer processor configured to receive location information and the identification information of the RF tag from the first RF antenna, receive information regarding the purchase and associate the RF tag with the information regarding the purchase, and receive video data from the camera. The computer processor can be configured to determine demographic information of the consumer from the video data and associate the demographic information with the information regarding the purchase.

    Method and system for preprocessing optimization of streaming video data

    公开(公告)号:US11778167B1

    公开(公告)日:2023-10-03

    申请号:US17873789

    申请日:2022-07-26

    Inventor: Amol Ajgaonkar

    CPC classification number: H04N17/00 G11B27/031

    Abstract: A method of improving a main output of a main AI model processing first video data includes analyzing incoming video data via a first processing pipeline and analyzing incoming video data via a second processing pipeline. The second processing pipeline includes receiving the incoming video data from the camera; identifying, by a parameter optimization module, first test preprocessing parameters; preprocessing the incoming video data according to the first test preprocessing parameters defined within a test runtime configuration file, wherein the first test preprocessing includes formatting the incoming video data to create first test video data; accessing the first test video data by a test AI model; processing the first test video data by the test AI model to determine a first test output that is indicative of a first test inference dependent upon the first test video data; and comparing the first test output and the main output to a baseline criterion. In response to the first test output satisfying the baseline criterion, the parameter optimization module can alter the first preprocessing parameters in the first runtime configuration file to be similar to the first test preprocessing parameters in the test runtime configuration file and, in response to the first test output failing to satisfy the baseline criterion, replace the first test preprocessing parameters with second test preprocessing parameters that are different from the first test preprocessing parameters and repeat the steps of analyzing the incoming video data via the second preprocessing pipeline.

    BLOCKCHAIN RECORDATION AND VALIDATION OF VIDEO DATA

    公开(公告)号:US20230206634A1

    公开(公告)日:2023-06-29

    申请号:US17679807

    申请日:2022-02-24

    Inventor: Amol Ajgaonkar

    Abstract: A method of committing video data and associated metadata to a blockchain ledger includes preprocessing the video data, by a first computer processor, according to preprocessing parameters defined within a runtime configuration file, wherein the video data is preprocessed to edit the video data to be suitable for use by a first artificial intelligence model. The method also includes accessing the preprocessed video data and associated metadata by the first artificial intelligence model with the first artificial intelligence model being configured to determine a first output that is indicative of a first inference dependent upon the preprocessed video data, formulating first annotated video data and associated metadata by the first artificial intelligence model that includes the first output indicative of the first inference, and accessing the preprocessed video data and associated metadata by a blockchain subscriber independent from the first artificial intelligence model. In response to a determination by the first artificial intelligence model that the first inference has occurred so as to prompt the formulation of the first output, the method includes committing a first entry to the blockchain ledger that includes the first annotated video data, metadata associated with the first annotated video data, the preprocessed video data, and metadata associated with the preprocessed video data.

Patent Agency Ranking