Robotics

Real time, Low Power Sense and Control

Robotics enable improved quality, increased productivity and efficiency in traditional manufacturing, and are rapidly expanding into Warehouse and Supply Automation, Mining, Farming, and Smart City applications. Lattice FPGAs are optimized for the unique requirements that Robotics applications demand:

  • Low power, deterministic sense and control
  • Real time Industrial Networking
  • Machine vision, depth sensing
  • Sensor fusion
  • Motor & Motion Control
  • Artificial Intelligence
  • HW-based Secure Root of Trust

Lattice FPGAs are optimized for Robotics, offering the following benefits:

  • Up to 75% lower power than similar FPGAs
  • Small form factors – from 4mm x 4mm
  • 100x better SER vs other SRAM based FPGAs
  • Optimized Sensor Interfacing
  • Scalable Performance
  • Lattice Stacks: Lattice mVision and Lattice sensAI

Lattice solutions stacks provide ready-to-go flexible IP building blocks, reference designs and platforms to further speed development of products.

Robotics

Jump to

Block Diagram

Robotics Block Diagram

Example Use Cases

Machine Vision Camera Processing

  • Sensor Interface, Hardened MIPI, SLVS EC, LVDS
  • Customizable ISP for image processing
  • Lattice sensAI Artificial Intelligence for object/defect detection
  • Interface - GigE Vision, USB3 Vision, CoaxPress

Edge AI Processing

  • Bridge one or multiple CSI-2 image sensors to processor interface
  • Up to 3 Mb of internal RAM for processing
  • Offloads inferencing from CPU for object detection / counting
  • Combine video bridging and edge AI into a single device

Depth Sensing

  • Stereo Vision Reference Design
  • Depth Sensing
  • Collision Avoidance

Multi Axis Motor Control

  • High Performance
  • Multi-Axis
  • Real time sense & control
  • Internal Soft CPU or External CPU

Reference Designs

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
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

Demos

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
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

IP Cores

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
CSI-2 / DSI D-PHY レシーバ

IP Core

CSI-2 / DSI D-PHY レシーバ

MIPI D-PHY はカメラやディスプレイの標準的なインタフェースです。この IP を使用すると FPGA に D-PHY レシーバを実装できます。
CSI-2 / DSI D-PHY レシーバ

Development Kits & Boards

Support

技術サポート

技術サポートが必要な方はこちら

品質と信頼性

品質と信頼性に関する資料はこちら

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