Overview

Object Detection accelerated by GPU

About Advantech Container Catalog

Advantech Container Catalog is a comprehensive collection of ready-to-use, containerized software packages designed to accelerate the development and deployment of Edge AI applications. By offering pre-integrated solutions optimized for embedded hardware, it simplifies the challenges often faced with software and hardware compatibility, especially in GPU/NPU-accelerated environments.

Key benefits of the Container Catalog include:

Feature / Benefit	Description
Accelerated Edge AI Development	Ready-to-use containerized solutions for fast prototyping and deployment
Hardware Compatibility Solved	Eliminates embedded hardware and AI software package incompatibility
GPU/NPU Access Ready	Supports passthrough for efficient hardware acceleration
Model Conversion & Optimization	Built-in AI model quantization and format conversion support
Optimized for CV & LLM Applications	Pre-optimized containers for computer vision and large language models
Scalable Device Management	Supports large-scale IoT deployments via EdgeSync, Kubernetes, etc.
Lower Entry Barrier for Developers	High-level language (Python, C#, etc.) support enables easier development
Developer Accessibility	Junior engineers can build embedded AI applications more easily
Increased Customer Stickiness	Simplified tools lead to higher adoption and retention
Open Ecosystem	3rd-party developers can integrate new apps to expand the platform

Container Overview

Object Detection accelerated by GPU container provides a pre-configured GPU Toolkit with GPU passthrough capabilities, designed for industrial AI and machine learning applications. This solution simplifies the deployment of GPU-accelerated workloads in edge computing environments while ensuring consistent, reproducible results across development and production environments

This container runs on optimized and GPU-accelerated Advantech platform such as AIR-510 delivers outstanding performance for demanding computer vision tasks across edge and professional workstation environments. With built-in efficient GPU functionality, toolkit, and GPU memory, it enables high-speed processing of complex AI models used in applications like smart manufacturing, advanced robotics, medical imaging, and automated inspection. Its powerful parallel computing architecture allows developers to efficiently deploy computer vision models for tasks such as image classification, segmentation, and visual analysis. The GPU-accelerated Advantech platform such as AIR-510 empowers teams to accelerate development cycles and scale AI solutions in data-intensive, real-time edge applications.

Key Features

Hardware Acceleration: Optimized access to GPU
Complete AI Framework Stack: GPU Toolkit
Edge AI Capabilities: Support for computer vision

Hardware Specifications

Component	Specification
Target Hardware	AIR-510
Memory	32 ~ 192 GB
vRAM	24 GB

More info about AIR-510

Container Environment Overview

Quick Start Guide

Refer to Advantech Container Catalog Github: Object Detection accelerated by GPU Container Github for more quick start guide details.

Run

docker run -d --gpus all -it --rm --net=host --privileged -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -w /opt/nvidia/deepstream/deepstream-6.4 eiot/nvidia-deepstream6.4:ubuntu22.04-1.0.0