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ODYSSEY Guide

ODYSSEY - X86

ODYSSEY - X86J41x5 SBC series consists of ODYSSEY - X86J4105, ODYSSEY - X86J4125 and ODYSSEY - X86J4125 V2. They are based on Intel Celeron J4105/ J4125 and has all the great features that a standard computer needs, including an 8GB LPDDR4 RAM, 64GB eMMC Storage(eMMC version only), onboard Wi-Fi/BLE, Dual 1GbE/ 2.5GbE Ports, Audio Input and Output, USB Ports, HDMI, SATA connectors, PCIe and more.





Getting Started with ODYSSEY - X86J41x5Accessing 40-pin GPIOAdding Accessories
This wiki includes information on hardware specifications, operating system installation, connecting external components, and using Arduino Core. This wiki demonstrates how to access and control the 40-pin GPIO of ODYSSEY - X86J41x5 under Linux (Ubuntu). With this, you can start to build your IoT projects using ODYSSEY - X86J41x5 with ease! This wiki introduces how to add different accessories to ODYSSEY - X86J41x5 to boost up the performance to fit your needs.

Coral Mini PCIe Accelerator for ODYSSEYLTE Modules for ODYSSEY
This wiki explains how to integrate the Coral Mini PCIe Accelerator with the ODYSSEY-X86J41x5 to enhance machine learning performance. It covers installation steps, including hardware setup, driver and runtime installation, and running TensorFlow Lite models for image classification. This wiki will walk you through how to use the LTE module on ODYSSEY-X86 on both Windows and Linux OS. In this example, the LTE module is Quectel EM06-E LTE Cat 6 M.2 Module which is in the M.2 form factor.

Application


Intel OpenVINO ToolkitIntel Neural Compute Stick 2
This wiki guides installing the Intel® OpenVINO™ toolkit on Ubuntu 18.04.4 LTS for the ODYSSEY - X86J4105, covering prerequisites, installation, dependency setup, environment configuration, and verification of the installation. This wiki explains setting up and using the Intel Neural Compute Stick 2 (NCS2) with ODYSSEY - X86J41x5, including software configuration, running inference samples, and accessing additional examples from the ncappzoo repository.

FRIGATE NVR Project with Seeed OdysseyAzure IoT
In this guide, we will show you how to config Frigate docker environment to preform local AI detection on the RTSP camera stream on Seeed Studio Odyssey Blue with Coral USB Accelerator, for home assistant add-on setup, please stay turned! This wiki demonstrate how to read sensor values connnected to the ODYSSEY - X86J41x5 and sends the data to Microsoft Azure IoT Hub, where this data can be displayed or processed for further IoT applications.

Software


Getting Started with Home AssistantHow to Customize Home AssistantConnect Grove Modules to Home Assistant using ESPHome
Through this wiki, you will be able to view a beautiful dashboard on your PC, tablet, smartphone, reTerminal and be able to control your home appliances and view other information such as sensor data right at your fingertips. This wiki will walkthrough step-by-step on how to build out the dashboard by doing the necessary configurations and also how to use some of the important add-ons that comes with Home Assistant. This wiki will walkthrough step-by-step on how to connect Seeed Studio XIAO ESP32C3 with ESPHome running on Home Assistant and send the sensor data/ control devices after connecting Grove modules to XIAO ESP32C3.

Mender Client on ODYSSEY - X86Mender Server on ODYSSEY - X86
This guide focuses on using the ODYSSEY - X86 board running a custom Linux System compiled using the Yocto Project. This guide focuses on using the ODYSSEY - X86 board running the OpenWrt System by Seeed. Then we run the Self-Hosted Mender Server as a Docker container on OpenWrt.

OS Installation


Original OSFirmware Upgrade
This tutorial demonstrates how to create a bootable USB drive and install Linux OS(Ubuntu Desktop 18.04) onto the ODYSSEY - X86J41x5. This tutorial demonstrates how to update the BIOS and EC (Embedded Controller) firmware for the ODYSSEY - X86.

Jellyfin Media Server InstallationOpenWRT InstallationOPNsense Installation
This guide explains how to set up Jellyfin Media Server as a Docker container installed on an Ubuntu system running on ODYSSEY-X86. By using Jellyfin, you can stream all your local media files from anywhere in the world! This tutorial demonstrates how to install the open source OS for router network. With the help of OpenWrt, your ODYSSEY - X86J41x5 can turn into a router and take care of your home network! This guide explains how to turn your ODYSSEY-X86 into a software router and firewall by installing OPNsense. Let's get started!

pfSense InstallationTrueNAS InstallationAndroid-x86 Installation
This tutorial demonstrates how to install the pfSense onto the ODYSSEY-X86J41x5.This guide explains how to turn your ODYSSEY-X86 into a Network Attached Storage (NAS) by installing TruneNAS. Let's get started!This tutorial demonstrates how to install the Android-x86 on the ODYSSEY-X86J41x5 and use it as a smart TV box to watch live stream TV or media from local storage(such as NAS) with the help of Kodi.

FreeNAS InstallationBalenaOS Installation
This tutorial demonstrates how to install the open-source Storage operating system. FreeNAS is an operating system that can be installed on virtually any hardware platform to share data over a network. By installing FreeNAS on ODYSSEY - X86J41x5 you have built yourself a personal cloud drive! This wiki provides a step-by-step guide to installing balenaOS on an ODYSSEY - X86 board, including setting up a device fleet on balenaCloud, flashing the balenaOS image to a USB drive, and managing the device through the balenaCloud dashboard.

FAQs


ODYSSEY - STM32

ODYSSEY – STM32MP135D

ODYSSEY STM32MP135D is a compact STM32 MPU based single-board computer that offers powerful hardware in a small form factor designed for a variety of uses ranging from smart home, to vending machines, to IP Camera, etc. It offers a wide range of connectivity options designed to make it easy to prototype with.





ODYSSEY – STM32MP157C

The ODYSSEY – STM32MP157C is a single board computer that based on STM32MP157C, a dual-core Arm-Cortex-A7 core processor operating at 650Mhz. The processor also integrates an Arm Cortex-M4 coprocessor, which makes it suitable for real-time task.





Seeed Studio SOM STM32MP157C

SOM - STM32MP157C is the SOM based on STM32MP157C, STM32MP157C is a dual-core arm-cortex-a7 core processor operating at 650Mhz, the processor is also integrated with the Arm cortex-m4 coprocessor, Arm cortex-m4 integrates FPU and MPU.




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