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  • Advanced CNN Accelerator IP

    IP Core

    Advanced CNN Accelerator IP

    Calculates full layers of Neural Network including convolution layer, pooling layer, batch normalization layer, and fully connected layer.
    Advanced CNN Accelerator IP
  • Human Face Identification Reference Design

    Reference Design

    Human Face Identification Reference Design

    Uses a Convolutional Neural Network in the ECP5 FPGA to detect a human face, and match to known registered faces. Can be adapted to work with any other object.
    Human Face Identification Reference Design
  • Human Presence Detection

    Reference Design

    Human Presence Detection

    Uses Lattice sensAI IP to continuously search for the presence of a human and reports results. Can be adapted to detect any other object.
    Human Presence Detection
  • DCA1000 Evaluation Module

    Board

    DCA1000 Evaluation Module

    The DCA1000EVM receives LVDS-format radar-sensing data and can stream over Ethernet in real-time. The board also connects to TI’s 77GHz xWR1xxx EVM.
    DCA1000 Evaluation Module
  • Machine Learning / On-device AI

    Reference Design

    Machine Learning / On-device AI

    Uses artificial intelligence (AI) to implement a human detection algorithm
    Machine Learning / On-device AI
  • ​​LIPSedge™ T225 ToF (Time of Flight) 3D Camera

    Board

    ​​LIPSedge™ T225 ToF (Time of Flight) 3D Camera

    ​LIPSedge T225 3D ToF camera consists of a 640x480 resolution depth sensor and a 940nm illuminator, using short pulse technology to provide depth information.​
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