Catalog

Overview

After the container is launched, it will start the EdgeMind Studio application based on the NVIDIA Jetson or HUAWEI Atlas platform, providing the following core functionalities:

1. Video Management Features

  • Multi-source Video Management: Supports local cameras, IP network cameras, and uploaded MP4 video files.

  • NVR (Network Video Recorder): Records and enables playback of connected camera feeds.

2. Video AI Analysis & Performance Monitoring

  • Model Management: Provides AI model deployment and management for flexible and convenient scalability.

  • AI Intelligent Analysis: Real-time object detection based on the YOLO model for camera feeds or MP4 videos, with alert notification support.

  • Video AI Region Detection (ROI Analysis): Allows defining key detection regions (ROI) in the video frame, focusing AI analysis only on specified areas to reduce computational load.

  • Performance Monitoring: Displays real-time AI processing metrics, including video frame rate, model failure rate, and CPU/GPU resource usage.

  • Multi-screen Live Viewing: Supports simultaneous display of multiple video streams for real-time monitoring.

Container Demo

EdgeMind-Stuido_jetson-demo-1
EdgeMind-Studio_jetson_demo4

Requirements

Hardware

  • NVIDIA Jetson platform

    Verified Device: MIC-332/ITA-560

  • HUAWEI Atlas platform

    Verified Device: MIC-ATL2S

Software

  • Docker (version 20.10 or higher)
  • Docker Compose (version 1.29 or higher)

Container Quick Start

We offer two ways to launch EdgeMind Studio: Docker-Compose and script-based startup. You can use either method as preferred.

Step 1: Download the launch scripts and docker-compose.yaml file

git clone https://github.com/Advantech-Containers/EdgeMind-Studio.git

Step 2: Start EdgeMind Studio container

For NVIDIA Jetston Platform

If you want to start using Docker Compose

cd EdgeMind-Studio 
docker-compose -f docker-compose-jetson.yml up -d

Or if you prefer to launch via a run script

cd EdgeMind-Studio 
chmod 777 run_edgemindstudio_jetson.sh
./run_edgemindstudio_jetson.sh

For HUAWEI Atlas Platform

If you want to start using Docker Compose

cd EdgeMind-Studio
docker-compose -f docker-compose-atlas310b.yml up -d

Or if you prefer to launch via a run script

cd EdgeMind-Studio 
chmod 777 run_edgemindstudio_atlas310b.sh
./run_edgemindstudio_atlas310b.sh

How to use?

Once the setup is complete, you can access EdgeMind-Studio through a web browser at http://$ip:8080, where $ip refers to the device’s actual IP address.