Surveillance Video Camera

From sensor bridging to camera ISP and DVR Solutions

Surveillance systems have evolved from SD analog video with tape recording to HD and 4K digital video with DVR, adding management and offline search functions along the way.

Emerging Smart Surveillance Systems offer advanced analytics – in the cloud, at the edge, or in the latest Smart Cameras. Adding intelligence in the camera reduces latency, enables enhanced privacy, and can reduce transmission / storage costs by only transmitting alerts and metadata.

Lattice’s small form-factor low power FPGAs are optimal for Smart Surveillance Cameras. They enable flexible Sensor Interfacing, Image Signal processing (ISP), Sensor Fusion, aggregation, and AI/ML. Lattice’s Embedded Vision and Lattice sensAI solutions stacks simplify the integration of these enhanced functions.

Video Surveillance

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Surveillance Camera Block Diagram

Example Use Cases

Multi Sensor Aggregation / Fusion Cameras

  • Multi Sensor Interfacing and Processing
  • Environmental Sensors
  • Image fusion / proces
  • Audio processing

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 Video Analytics
  • Combine video bridging and edge AI into a single device
  • Optionally eliminate CPU/AP for analytics only

Legacy Camera Aggregation / Video Analytics

  • Video Aggregation
  • Image Processing
  • PCI-e I/F to Host
  • Lattice sensAI Video Analytics

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
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

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
User Background Blurring Demonstration

Demo

User Background Blurring Demonstration

Efficient and low power approach for implementing user background blurring using Lattice CrossLink-NX FPGA
User Background Blurring Demonstration
Lattice mVision MIPI Video Sensor to PCIe Bridge Demonstration

Demo

Lattice mVision MIPI Video Sensor to PCIe Bridge Demonstration

This design demonstrates the functionality of transferring MIPI CSI-2 sensor video data to a computer through PCIe with a Direct Memory Access (DMA) engine.
Lattice mVision MIPI Video Sensor to PCIe Bridge Demonstration

IP Cores

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
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
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
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

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
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

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