LIPSedge™相機

LIPSedge™ 工業主動式立體3D相機

LIPSedge™ AE400

LIPSedge® 3D 機器視覺深度相機

LIPSedge™ AE430

LIPSedge™ AE450

LIPSedge™ AE470

LIPSedge™ AE430-DK & AE470-DK

LIPSedge™ S315

LIPSedge™ ToF 3D相機

LIPSedge™ T225/T235

LIPSedge™ DL

LIPSedge™ DL400

LIPSedge™ M3 LED

LIPSedge™ AT

LIPSedge™ 結構光3D相機

LIPSedge™ L235

LIPSedge™ L215u/L210u

LIPScan 3D™掃描SDK​

LIPSense™ 智慧感知解決方案

LIPScan 3D™掃描桌面軟體

LIPSFace™出入口控制相機套件

LIPSense™3D身體姿勢骨骼追蹤

LIPSense™無接觸介面

LIPSMetric™包裹測量

LIPSMetric™ 智慧量測解決方案

LIPSMetric™棧板測量

LIPSMetric™ HA系列手持式尺寸測量

LIPSAMR™感知開發套件

LIPSolution™ 機器人自動化解決方案

資源

開發者文件

GitHub

技術專欄

技術支援

SDK下載

程式碼範例

NVIDIA Isaac Perceptor

NVIDIA Isaac SIM

GenICAM(Halcon/Aurora Vision)

ROS / ROS2

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最新消息

財務資訊

公司治理

股東專欄

關於立普思

關於我們

人才招募

聯盟夥伴

經銷商

LIPS和Intel

LIPS和NVIDIA

LIPS和Ambarella

聯絡我們

商店支援

技術支援

BUY
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BUY

LIPSedge™ F系列
邊緣人工智慧加速卡

A top-down view of a PCIe expansion card featuring: Dual Cooling Fans: Two large black fans with a heat sink for effective cooling. Connectivity Ports: Includes Ethernet and HDMI ports on the metal bracket. Green Circuit Board: A green PCB with visible components such as capacitors, chips, and connectors. PCIe Connector: A gold PCIe interface for motherboard installation. Branding and Labels: Markings like "LIPG" and a label with "MAC: 3CFAD37009C4." This hardware is likely a professional-grade GPU or networking card for high-performance computing.
  • 低延遲機器人視覺
  • 協作機器人安全解決方案

LIPSedge™ 邊緣人工智慧加速器專為3D深度相機和工業相機而設計

為什麼支援這些設備如此重要？

  • 3D相機和工業相機會輸出大量需要處理的資料，對於需要高頻寬和低延遲的機器人系統而言，擁有相應的高效能硬體是必不可少的。
查看詳細資訊

高效傳輸影像資料無瓶頸問題

GPUDirect RDMA

A diagram illustrating data flow between a CPU, PCI Express, and a GPU with its dedicated memory. The GPU is shown with dual cooling fans, and a yellow arrow labeled "GPUDirect RDMA" highlights direct data transfer between the CPU and GPU memory.

GPUDirect RDMA 傳輸

  • GPU 與加速卡之間無需 CPU 參與的直接資料交換路徑
  • 消除 PCIe 匯流排不必要的記憶體複製

GPUDirect 影像處理

A diagram showing the interaction between a GPU, system memory, and CPU. The GPU is depicted with dual cooling fans, and arrows indicate data flow from the CPU to system memory, then to the GPU and its dedicated GPU memory.

GPUDirect 影像處理

  • CPU 負載降至最低，略過 CPU 請求資源
  • 傳輸已同步化

直接在 x86 上執行

A blue computer motherboard featuring a CPU socket, multiple RAM slots, PCIe slots, and various connectors and ports, designed for desktop or server use.

成本效益

直接使用
x86 主機板

An image showcasing a series of LIPSedge™ F110 3DxAI Edge Accelerator cards arranged in a row. Key features include: PCIe Cards: Multiple high-performance accelerator cards designed for AI and 3D vision processing. Dual Cooling Fans: Each card is equipped with dual fans for efficient heat dissipation, ensuring optimal performance during intensive operations. Ethernet Ports: Visible dual Ethernet ports on each card for high-speed data transfer and connectivity. Compact Design: Slim, modular form factor suitable for integration into industrial and server environments. This image highlights the scalability and robust design of the LIPSedge™ F110 accelerators for advanced AI applications.

機器人視覺擴展架構

擴展單一主機系統而不會
遇到 CPU 瓶頸

NVIDIA GPU module showcasing a detailed circuit board design with a prominent NVIDIA chip at the center, surrounded by electronic components.

基於 NVIDIA SoM 與 CUDA 函式庫

採用NVIDIA Jetson AGX Xavier 技術

LIPSedge™ 3D 攝影機系列相容性
搭配 SDK 與封裝程式

A product lineup chart showcasing various 3D camera models categorized under "AIoT" and "Active Stereo." Each model is labeled with its key features: AT: Standalone 3D ToF Camera with FPGA. DL-Series: All-purpose ToF camera with USB Plug & Play. M3: Embedded ToF camera with built-in IMU. AE400: Ruggedized 3D Camera for Industrial Use. AE430: Compact & Ruggedized 3D Camera for Robotics & Edge-AI. AE450: Ruggedized 3D Camera with Enhanced Range. AE470: Compact & Ruggedized 3D Camera for Long Range & Edge-AI. S-Series: High-Resolution & Edge-AI Enabled Active Stereo Camera. L-Series: High-Resolution Structured-Light Camera. The bottom section highlights software and platform compatibility, including OpenNI, OpenCV, ROS, HALCON, NVIDIA Isaac, OpenVINO, TensorFlow, Unity, and programming languages such as Python, C++, Java, and MATLAB. The diagram also features an NVIDIA Jetson GPU card with dual cooling fans.

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