Lattice Solutions

Everything you need to quickly and easily complete your design

Solution Type
Device Support


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Providers


  • Key Phrase Detection

    Demo

    Key Phrase Detection

    Uses artificial intelligence (AI) to detect a specific key-phrase using a tiny, low-power iCE40 UltraPlus FPGA
    Key Phrase Detection
  • 4 Input to 1 Output MIPI CSI-2 Image Aggregation Demo

    Demo

  • Hand Gesture Detection

    Demo

    Hand Gesture Detection

    Uses artificial intelligence (AI) to implement hand gesture detection algorithm using a tiny, low-power iCE40 UltraPlus FPGA
    Hand Gesture Detection
  • Human Counting

    Demo

    Human Counting

    Human upper-body detection and counting demonstration utilizes Lattice’s ECP5 FPGA and a Convolutional Neural Network (CNN) acceleration engine
    Human Counting
  • Human Face Detection

    Demo

    Human Face Detection

    Uses Lattice sensAI IP to detect human faces on a tiny, low-power iCE40 UltraPlus FPGA implementing AI at the edge. Adaptable to detect other objects.
    Human Face Detection
  • 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
  • Human Presence Detection

    Demo

    Human Presence Detection

    Uses an artificial intelligence (AI) algorithm to detect human presence with either the powerful ECP5 FPGA, or small, low-power iCE40 UltraPlus FPGA.
    Human Presence Detection
  • Package Detection

    Demo

    Package Detection

    Uses Convolutional Neural Network (CNN) Accelerator IP on the ECP5 FPGA to detect packages. Output is shown via HDMI with a bounding box drawn around packages.
    Package Detection
  • 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
  • DisplayPort Receive Demo

    Demo

    DisplayPort Receive Demo

    Uses Bitec's DisplayPort IP core on the ECP5 FPGA in Lattice's Embedded Vision Development Kit. Compliant with DisplayPort 1.4a (including eDP 1.4 support).
    DisplayPort Receive Demo
  • DisplayPort Transmit Demo

    Demo

    DisplayPort Transmit Demo

    Uses Bitec's DisplayPort IP core on the ECP5 FPGA in Lattice's Embedded Vision Development Kit. Compliant with DisplayPort 1.4a (including eDP 1.4 support).
    DisplayPort Transmit Demo
  • 3D Depth Mapping

    Demo

    3D Depth Mapping

    Determines the distance between an embedded device and an object using a Semi-Global Block Matching (SGBM) algorithm to determine 64 different disparity levels
    3D Depth Mapping
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