Containers

Displaying 16 containers

• Smart Surgery-MISARS

  

  

  Smart Surgery-MISARS

  Artificial Intelligence to identify Surgical Anatomy for Intraoperative Guidance during Laparoscopic Donor Nephrectomy, running on Advantech edge AI devices with hardware acceleration.

• Orbbec-Gemini-3DCamera

  

  

  Orbbec-Gemini-3DCamera

  All-in-one Docker for Orbbec depth cameras: includes drivers, ROS 2 samples, RViz2 setup—ideal for fast testing and development on any Linux host.

• 5Voxel VoxelCare

  

  

  5Voxel VoxelCare

  5Voxel's VoxelCare combines 3D ToF sensing and AI to monitor human behavior in real time, enabling smart healthcare alerts and instant accident detection via mobile.

• MemryX NPU PPE Detection

  

  

  MemryX NPU PPE Detection

  Smart Safety at the Edge with MemryX NPU & Advantech IPCs — GPU-free, high-performance AI for PPE detection, inspection, and edge monitoring. Plug in, accelerate, and deploy instantly.

• Rockchip RK3588 Object Detection

  

  

  Rockchip RK3588 Object Detection

  Run real-time, low-latency object detection at the edge with Rockchip RK3588’s NPU—boosting efficiency, privacy, and AI performance for smart, scalable applications.

• Advantech YOLO Vision Applications

  

  

  Advantech YOLO Vision Applications

  This is an optimized container built for running YOLO applications including image classification, object detection, instance segmentation and more, with full accelerated by GPU Advantech Devices

• GPU Accelerated LLM Langchain AI Agent

  

  

  GPU Accelerated LLM Langchain AI Agent

  GPU accelerated LLM AI Agent—powered by LangChain, OpenWebUI & DeepSeek LLAMA3.2-1B via Ollama. Full GPU acceleration for smart, on-device automation

• GPU Accelerated DeepSeek Langchain

  

  

  GPU Accelerated DeepSeek Langchain

  Power your embedded edge AI with Advantech’s GPU-accelerated container, featuring DeepSeek R1 1.5B for fast, intelligent LLM chat, tool-use, and agent workflows—perfect for smart edge deployments.

• x86 EdgeSync Base Container

  

  

  x86 EdgeSync Base Container

  x86-ready environment with EdgeSync Library for Advantech hardware monitoring and control via Python. Ideal for developers building edge AI solutions.

• Container GPU Passthrough

  

  

  Container GPU Passthrough

  Unlock AI innovation with GPU passthrough–enabled container. Preloaded AI libs. No hardware or package worries—just build and deploy on Advantech Edge.

• x86 Platform with GPU Cards

  

  

  x86 Platform with GPU Cards

  Provides a ready-to-use base for Advantech x86 edge systems with GPU passthrough, GPU usage, hardware monitoring, and EdgeSync Device Library—perfect for AI-enabled applications.

• GPU Accelerated LLM Langchain

  

  

  GPU Accelerated LLM Langchain

  GPU Accelerated LLM Langchain Container offers a modular, accelerated AI chat stack for Advantech GPU-accelerated devices using Ollama with multiple LLM models compatible, such as Llama 3.2 1B, FastAP