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  • Human Face Identification AI

    Reference Design

    Human Face Identification AI

    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 AI
  • Human Face Identification AI

    Demo

    Human Face Identification AI

    Register and identify faces without retraining, eliminating the need for uploading images and lengthy retraining using a GPU.
    Human Face Identification AI
  • Speed Sign Detection AI Demo

    Demo

    Speed Sign Detection AI Demo

    Uses a Convolutional Neural Network in the ECP5 FPGA to detect speed limit signs and determine the indicated speed.
    Speed Sign Detection AI Demo
  • Vehicle Classification AI Demo

    Demo

    Vehicle Classification AI Demo

    Classifies vehicle types using a Convolutional Neural Network (CNN) Accelerator IP on the ECP5 FPGA. HDMI output uses color-coded bounding boxes.
    Vehicle Classification AI Demo
  • 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
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