Smart Home Control and Security

Powerful, Low Power FPGAs Enable Next Generation Smart Home Devices and Appliances

Smart home devices are becoming an attractive option for controlling and monitoring smart homes. Users are increasingly adopting a number of smart home devices from security cameras, smart doorbells to home assistance devices and smart appliances. Designers are looking for flexibility in sensor choices, powerful low power edge processors, and ability to aggregate data from multiple sensors for local or cloud processing.

Lattice’s smart home solutions running on optimized low power FPGAs provide:

  • Low power on-device AI for object detection, identification, counting and Human-machine interface
  • Flexible and low latency sensor data aggregation, bridging and buffering from a wide variety of sensors
  • Programmable I/O expansion and aggregation to solves form factors and architectures challenges

Jump to

Block Diagram

Home Control and Security

Example Use Cases

AI Processing

  • Low Power on-device NN based processing
  • Reduced data traffic to the cloud, improving security, privacy and reducing bandwidth usage
  • Object detection, classification, counting and HMI

Audio Bridging

  • Connect up to 8 microphones to a processor
  • Audio data buffering to offload the processor
  • Support I2S, PDM microphone interfacing
  • Up to 1 Mb of on device RAM for buffering

Image Sensor Bridging

  • Connect a wide variety of image sensors to processors
  • MIPI PHYs supports up to 2.5 Gbps/lane, up to four lanes
  • Flexible host interfacing including CSI, SPI, PCIe
  • Flexible processing for video data muxing and stitching 

Sensor Fusion

  • Interface to a wide variety of sensors to create rich user experience
  • Flexible preprocessing including arbitration, time stamping, and filtering
  • Create programmable sensor fusion algorithms

Low Latency Sensor Bridging

  • Take advantage of parallel FPGA architecture to simultaneously collect data from multiple sensors
  • Interface to a wide variety of sensors to create rich user experience
  • Flexible preprocessing including arbitration, time stamping, and filtering

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
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

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 トランスミッタ

IP Core

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

CrossLink-NX 評価ボード

Board

CrossLink-NX 評価ボード

CrossLink-NX 評価ボードは 40K ロジックセルのCrossLink-NXを搭載: ほとんどの I/O に簡単にアクセス可能、FPGA の PCIe 5G SERDES: FPGA メザニンカード (FMC)、Raspberry Pi、MIPI CSI-2、D-PHY、拡張用汎用ヘッダ
CrossLink-NX 評価ボード
CrossLink: LIF-MD6000 – マスターリンクボード

Board

CrossLink: LIF-MD6000 – マスターリンクボード

ドーターボード用のコネクタを備えたマスターCrossLinkプラットホーム。I/Oリンクボードを含む。
CrossLink: LIF-MD6000 – マスターリンクボード
CrossLink: LIF-MD6000 I/O リンクボード

Board

CrossLink: LIF-MD6000 I/O リンクボード

カスタム開発およびに評価用のCrossLink I/Oにアクセスするため、LIF-MD6000マスターリンクボードに接続
CrossLink: LIF-MD6000 I/O リンクボード

Support

Quality & Reliability

Reference Material to Help Answer Your Questions

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