Lattice Solutions

Everything you need to quickly and easily complete your design

Solution Type


Device Support
Tags



























Providers


  • Human Face Identification

    Reference Design

    Human Face Identification

    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
  • Human Face Identification

    Demo

    Human Face Identification

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

    Demo

    Speed Sign Detection

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

    Demo

    Vehicle Classification

    Classifies vehicle types using a Convolutional Neural Network (CNN) Accelerator IP on the ECP5 FPGA. HDMI output uses color-coded bounding boxes.
    Vehicle Classification
  • 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
  • Page 1 of 1
    First Previous
    1
    Next Last
    Like most websites, we use cookies and similar technologies to enhance your user experience. We also allow third parties to place cookies on our website. By continuing to use this website you consent to the use of cookies as described in our Cookie Policy.