METHODS AND APPARATUS FOR IMAGE FRAME FREEZE DETECTION

    公开(公告)号:US20240089425A1

    公开(公告)日:2024-03-14

    申请号:US18510884

    申请日:2023-11-16

    CPC classification number: H04N17/004 H04N5/144 H04N7/183

    Abstract: Devices, systems, and methods detect an image frame freeze condition. An example device includes a core logic circuit configured to generate statistics for received image data associated with an image frame, perform a census transform on pixel values of the image data to generate census transformed data, arrange the census transformed data into a binary string having a binary value, and generate transformed image data by replacing a select pixel value of the pixel values of the image data with a decimal value corresponding to the binary value; a load/store engine (LSE) coupled to the core logic circuit, the LSE configured to determine a cyclic redundancy check (CRC) value based on at least one of the image data, the transformed image data, and at least one statistic of the statistics; and an interface configured to transmit the CRC value to a host device.

    Scalable hardware thread scheduler
    15.
    发明授权

    公开(公告)号:US11586465B2

    公开(公告)日:2023-02-21

    申请号:US17138649

    申请日:2020-12-30

    Abstract: A device includes a hardware data processing node configured to execute a respective task, and a hardware thread scheduler including a hardware task scheduler. The hardware task scheduler is coupled to the hardware data processing node and has a producer socket, a consumer socket, and a spare socket. The spare socket is configured to provide data control signals also provided by a first socket of the producer and consumer sockets responsive to a memory-mapped register being a first value. The spare socket is configured to provide data control signals also provided by a second socket of the producer and consumer sockets responsive to the memory-mapped register being a second value.

    Machine learning model with watermarked weights

    公开(公告)号:US11163861B2

    公开(公告)日:2021-11-02

    申请号:US16188560

    申请日:2018-11-13

    Abstract: In some examples, a system includes storage storing a machine learning model, wherein the machine learning model comprises a plurality of layers comprising multiple weights. The system also includes a processing unit coupled to the storage and operable to group the weights in each layer into a plurality of partitions; determine a number of least significant bits to be used for watermarking in each of the plurality of partitions; insert one or more watermark bits into the determined least significant bits for each of the plurality of partitions; and scramble one or more of the weight bits to produce watermarked and scrambled weights. The system also includes an output device to provide the watermarked and scrambled weights to another device.

    SYSTEMS, METHODS, AND APPARATUS TO ENABLE DATA AGGREGATION AND ADAPTATION IN HARDWARE ACCELERATION SUBSYSTEMS

    公开(公告)号:US20210209041A1

    公开(公告)日:2021-07-08

    申请号:US17139970

    申请日:2020-12-31

    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein to enable data aggregation and pattern adaptation in hardware acceleration subsystems. In some examples, a hardware acceleration subsystem includes a first scheduler, a first hardware accelerator coupled to the first scheduler to process at least a first data element and a second data element, and a first load store engine coupled to the first hardware accelerator, the first load store engine configured to communicate with the first scheduler at a superblock level by sending a done signal to the first scheduler in response to determining that a block count is equal to a first BPR value and aggregate the first data element and the second data element based on the first BPR value to generate a first aggregated data element.

    Package on package memory interface and configuration with error code correction

    公开(公告)号:US10767998B2

    公开(公告)日:2020-09-08

    申请号:US16114419

    申请日:2018-08-28

    Abstract: Information communication circuitry, including a first integrated circuit for coupling to a second integrated circuit in a package on package configuration. The first integrated circuit comprises processing circuitry for communicating information bits, and the information bits comprise data bits and error correction bits, where the error correction bits are for indicating whether data bits are received correctly. The second integrated circuit comprises a memory for receiving and storing at least some of the information bits. The information communication circuitry also includes interfacing circuitry for selectively communicating, along a number of conductors, between the package on package configuration. In a first instance, the interfacing circuitry selectively communicates only data bits along the number of conductors. In a second instance, the interfacing circuitry selectively communicates data bits along a first set of the number of conductors and error correction bits along a second set of the number of conductors.

    INTEGRATED CIRCUIT WITH MULTI-APPLICATION IMAGE PROCESSING

    公开(公告)号:US20250168520A1

    公开(公告)日:2025-05-22

    申请号:US19027193

    申请日:2025-01-17

    Abstract: In described examples, an integrated circuit includes first, second, third, and fourth image processing blocks, a data selection circuitry, and a pipeline memory. An input of the first image processing block receives raw image data. An input of the second image processing block is coupled to an output of the first image processing block. An input of the third image processing block is coupled to an output of the second image processing block. A first input of the data selection circuitry is coupled to an output of the first image processing block, and a second input of the data selection circuitry is coupled to an output of the second image processing block. A data input of the pipeline memory is coupled to an output of the data selection circuitry, and an output of the pipeline memory is coupled to an input of the fourth image processing block.

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