Factory Automation - Machine Vision

From Sensor to Intelligence for Image & Video Processing, OCR, Part Tracking, and more

A new world of intelligent, connected machines enable Industry 4.0 Smart Factory advancements that revolutionize the way goods are manufactured, tested and delivered. Smart Factories improve automation by incorporating Machine Vision algorithms and intelligence for improved quality and thruput.

  • Quality Assurance – package / part inspection / defect detection
  • Measurement / Gauging
  • Guidance, part tracking, and identification
  • Optical character recognition and verification (OCR/OCV)
  • Barcode / 2D readers and Pattern recognition
  • Vision guided Robotics
Machine Vision

Lattice FPGAs are optimized for Machine Vision, offering the following benefits:

  • Up to 75% lower power than similar FPGAs
  • Small form factors – from 4mm x 4mm
  • Optimized Sensor I/F - 2.5Gbps Hardened MIPI D-Phy / lane, 1.5 Gbps I/O for SLVS EC, and LVDS
  • 5Gbps PCI-e for Frame Grabber and Video processing systems
  • High performance / Deterministic Low Latency
  • Lattice mVision and Lattice sensAI solutions stacks

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

Jump to

Block Diagram

Embedded Vision Camera

Example Use Cases

IP Network Camera

  • Sensor Interface - MIPI, LVDS
  • Customizable ISP for image processing
  • Lattice sensAI Artificial Intelligence for object/defect detection
  • JPEG-XS compression enables lossless low latency streaming over Gigabit IP Networks

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

Machine Vision Frame Grabber Video pre/co processing

  • GigE Vision, USB 3 Vision or CoaxPress I/F to PC
  • FPGA pre / co-processing of Video
  • Lattice sensAI Artificial Intelligence for object/defect detection
  • Hardened 5 Gbps PCI-e Gen 2 to host

Multi Sensor Machine Vision Cameras

  • Multi / Hyper Spectral Cameras with dual sensors
  • Environmental Sensors
  • Image fusion / processing
  • 3D / ToF processing
  • Audio processing
  • 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

Reference Designs

Object Classification Reference Design

Reference Design

Object Classification Reference Design

The Object Classification reference design shows examples on implementing machine-learning based object classification to edge devices applications.
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
Barcode Detection Reference Design

Reference Design

Barcode Detection Reference Design

Exhibits the barcode detection using CertusPro-NX Voice & Vision Machine Learning Board & its camera barcode detection potential based on Yolov5 NN models.
Barcode Detection Reference Design
MIPI CSI-2 to HDMI Reference Design

Reference Design

MIPI CSI-2 to HDMI Reference Design

MIPI CSI-2 to HDMI Reference Design includes the synthesizable MIPI-HDMI core design & stimulus generators, checkers, & a testbench necessary to simulate the design
MIPI CSI-2 to HDMI Reference Design
Scene Segmentation Reference Design

Reference Design

Scene Segmentation Reference Design

Efficient and low power approach for implementing scene segmentation using Lattice CrossLink-NX FPGA
Scene Segmentation Reference Design

Demos

Object Classification Demonstration

Demo

Object Classification Demonstration

This object classification demo provides a sample application for detecting, classifying, and tracking multiple objects running on CertusPro-NX FPGA.
Object Classification Demonstration
User Tracking and Onlooker Detection Demonstration

Demo

User Tracking and Onlooker Detection Demonstration

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 Demonstration
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
Barcode Detection Demonstration

Demo

Barcode Detection Demonstration

This demo implements an algorithm for barcode detection using the CertusPro-NX Voice and Vision Machine Learning Board.
Barcode Detection Demonstration
Human to Machine Interfacing Demonstration

Demo

Human to Machine Interfacing Demonstration

Human-to-machine interface demo uses FPGA-accelerated NN models for detecting, positioning, and identifying persons.
Human to Machine Interfacing Demonstration

IP Cores

Image Signal Processing IP Cores Suite

IP Core

Image Signal Processing IP Cores Suite

The Lattice mVision ISP IP Core implements ISP pipelines for image quality enhancements in embedded designs based on Lattice FPGA devices.
Image Signal Processing IP Cores Suite
Advanced CNN Accelerator IP

IP Core

Advanced CNN Accelerator IP

Calculates full layers of Neural Network including convolution layer, pooling layer, batch normalization layer, and fully connected layer.
Advanced CNN Accelerator IP
CNN Plus Accelerator IP Core

IP Core

CNN Plus Accelerator IP Core

CNN Plus IP is a flexible accelerator IP that simplifies implementation of Ultra-Low power AI by leveraging capabilities of Lattice FPGAs.
CNN Plus Accelerator IP Core
Convolutional Neural Network (CNN) Accelerator IP

IP Core

Convolutional Neural Network (CNN) Accelerator IP

Implement AI solutions with CNNs from common or custom networks. Configure up to 16-bit widths. Works with Lattice Neural Network Compiler software tool.
Convolutional Neural Network (CNN) Accelerator IP
Convolutional Neural Network (CNN) Compact Accelerator

IP Core

Convolutional Neural Network (CNN) Compact Accelerator

Implement AI solutions with CNNs or BNNs that have power consumption in the mW range. Works with Lattice Neural Network Compiler software tool.
Convolutional Neural Network (CNN) Compact Accelerator

Development Kits & Boards

CertusPro-NX Versa Board

Board

CertusPro-NX Versa Board

CertusPro-NX Versa Board supports a wide range industry standards such as MIPI, SFP+, 10 GbE, LPDDR4 and PCIe (Gen3) for rapid prototyping and testing.
CertusPro-NX Versa Board
Embedded Vision Development Kit

Board

Embedded Vision Development Kit

Three-board Video Interface Platform (VIP) modular kit. Includes 2 MIPI/D-PHY camera input, FPGA processing, HDMI output. More Input/Output boards available.
Embedded Vision Development Kit
CertusPro-NX PCIe Bridge Board

Board

CertusPro-NX PCIe Bridge Board

The CertusPro-NX PCIe Bridge Board enables video bridge capabilities to PCIe and embedded vision type applications.
CertusPro-NX PCIe Bridge Board
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
CrossLink-NX-33 Voice and Vision Machine Learning Board

Board

CrossLink-NX-33 Voice and Vision Machine Learning Board

CrossLink-NX-33 Voice and Vision Machine Learning Board is designed using Crosslink-NX 33K, ideal for machine learning applications.
CrossLink-NX-33 Voice and Vision Machine Learning Board

Support

Technical Support

Need Help? We're Here to Assist You

Quality & Reliability

Reference Material to Help Answer Your Questions