Factory Automation - 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

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
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
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

Demos

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
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
Lattice Image Signal Processing Demo

Demo

Lattice Image Signal Processing Demo

Provides a complete ISP example design on the Lattice ECP5 FPGA for the Embedded Vision Development Kit, ideal for Industrial, Medical, and Automotive applications.
Lattice Image Signal Processing Demo

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
Helion IONOS画像シグナル処理IPポートフォリオ

IP Core

Helion IONOS画像シグナル処理IPポートフォリオ

Comprehensive, high-quality, highly-configurable ISP solution from Helion Vision, from basic to advanced High Dynamic Range Imaging (HDRI) color pipelines.
Helion IONOS画像シグナル処理IPポートフォリオ

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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