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  • Object Classification Demonstration

    Demo

    Object Classification Demonstration

    Sample demonstration for object detection, classification, and tracking multiple objects running on a low power general purpose FPGA using CNN Model
    Object Classification Demonstration
  • Object Classification Reference Design

    Reference Design

    Object Classification Reference Design

    A reference design for implementing object classification based on Mobilenet NN model running on Lattice CertusPro-NX low power FPGA
    Object Classification Reference Design
  • User Tracking and Onlooker Detection Demostration

    Demo

    User Tracking and Onlooker Detection Demostration

    Sample demonstration for detection and tracking of multiple human faces running on a low power general purpose FPGA using CNN Model
    User Tracking and Onlooker Detection Demostration
  • CrossLink-NX Voice and Vision Machine Learning Board

    Board

    CrossLink-NX Voice and Vision Machine Learning Board

    Designed for low-power machine learning applications with Lattice sensAI and CrossLink-NX. Includes image sensors, microphones, HyperRAM, and expansion ports.
    CrossLink-NX Voice and Vision Machine Learning Board
  • Hand Gesture Detection

    Reference Design

    Hand Gesture Detection

    Implements a low power AI based system to detect hand gestures using an IR image sensor
    Hand Gesture Detection
  • CertusPro-NX Voice and Vision Machine Learning Board

    Board

    CertusPro-NX Voice and Vision Machine Learning Board

    Design AI use cases for the Edge quickly! This board along with the Lattice sensAI solution stack provide the tools for developing vision and audio-based AI applications.
    CertusPro-NX Voice and Vision Machine Learning Board
  • 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
  • 人感検出

    Reference Design

    人感検出

    Uses Lattice sensAI IP to continuously search for the presence of a human and reports results. Can be adapted to detect any other object.
    人感検出
  • CNN Plus Accelerator IP

    IP Core

    CNN Plus Accelerator IP

    Implement Ultra-Low Power AI solutions with CNNs. Configure up to 16-bit widths. Works with Lattice Neural Network Compiler software tool.
    CNN Plus Accelerator IP
  • ハンドジェスチャ検出

    Demo

    ハンドジェスチャ検出

    iCE40 UltraPlus™ FPGA上で起動するLattice SensAI ベースのハンドジェスチャ検出はビジョンベースのヒューマンコンピュータインタラクション向けに低コストで電力効率の良いソリューションを提供します
    ハンドジェスチャ検出
  • 人感検出

    Demo

    人感検出

    Uses an artificial intelligence (AI) algorithm to detect human presence with either the powerful ECP5 FPGA, or small, low-power iCE40 UltraPlus FPGA.
    人感検出
  • 人数カウント

    Demo

    人数カウント

    人数カウントのデモはラティスのECP5 FPGAと畳み込みニューラルネットワーク(CNN)アクセラレーションエンジンを活用
    人数カウント
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