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Mo 68A
Single-Board Computer

Flagship open-source AI SBC with 8 TOPS for mid-to-high complexity edge inference, including robotics and industrial vision.

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8 TOPS Flagship Open-Source AI SBC

High-Performance Processor

Powered by the Texas Instruments AM68A AI vision processor, featuring a Dual-core 64-bit Arm® Cortex®-A72 CPU up to 2.0 GHz

AI Acceleration

Equipped with C7x DSPs and Matrix Multiply Accelerators (MMAs), delivering up to 8 TOPS of deep learning performance

Rich Connectivity

High-speed PCIe 3.0 and USB 3.0, plus flexible multimedia I/O for cost-effective multi-camera and multi-display systems

Rapid Prototyping

A 40-pin expansion header enables solderless prototyping and broad compatibility with sensors, actuators, and connectivity accessories

  • Core Technical Specifications
    AI Accelerator 2 × C7x DSP + Deep Learning Accelerator, 8 TOPS
    AI Runtime TI TIDL, supports TFLite / ONNX
    CPU 2 × Cortex-A72 @ 2.0 GHz
    Development Python, C/C++, OpenCV, GStreamer
    Dimensions (W × D × H) 85 × 56 mm
    Interface 1 × GbE, 4 × USB 3.0, PCIe 3.0, mini DP, MIPI DSI/CSI-2
    Operating Temperature 0 °C ~ +50 °C
    OS Debian 13 (Embedded Linux)
    Power USB Type-C 5 V / 5 A DC; ≤ 25 W
    RAM LPDDR4 4 GB / 8 GB (default)
    حماية Secure Boot, TrustZone, OP-TEE, Hardware AES-256
    Vision VPAC, DMPAC, 4K@60fps H.265 / H.264 codec
  • Hardware Platform
    AI Accelerator 2 × C7x DSP + Deep Learning Accelerator, 8 TOPS
    CPU TI AM68A, 2 × Cortex-A72 @ 2.0 GHz
    ISP / Vision On-chip ISP + VPAC (RGB-IR, WDR, LDC)
    RAM LPDDR4 4 GB / 8 GB (default)
  • Interface
    40-pin Connector GPIO / I²C / I²S / SPI / UART / PCM, HAT-compatible
    Audio I²S via 40-pin connector
    Button 1 × Reset button
    Camera up to 2 × 4-lane MIPI CSI-2
    Debug 1 × TTL UART
    Display 1 × mini DP + up to 2 × 4-lane MIPI DSI
    Ethernet 1 × Gigabit Ethernet
    Fan Connector 1 × 4-pin fan connector (5 V, PWM, GND, TACH)
    LED PWR, STATUS
    PCIe 1 × PCIe 3.0
    Storage Micro SD
    USB 4 × USB 3.0 Type-A
  • Power
    Power Consumption 25 W (MAX)
    Power input USB Type-C 5 V / 5 A DC
  • Mechanical
    Cooling Active fan (optional)
    Dimensions (W × D × H) 85 × 56 mm
    Housing PCB
    RTC Support (battery backup)
    Weight 53 g
  • Environmental
    Operating Temperature 0 °C ~ +50 °C
    Storage Temperature -20 °C ~ +70 °C
  • Operating System
    Kernel Linux Kernel 6.12
    OS Debian 13 Trixie
  • AI & Vision
    AI Runtime TI TIDL, supports TFLite / ONNX
    Camera Framework V4L2
    Display Framework DRM / KMS
    Vision SDK TI EdgeAI SDK
  • Network Features
    IP Application TCP / UDP, ICMP, DNS, DHCP
    IP Routing Static routing
  • حماية
    Crypto Accelerator Hardware AES-256
    OP-TEE يدعم
    نظام تثبيت آمن يدعم
    TrustZone يدعم
  • Development
    Languages Python, C/C++
    Libraries OpenCV, GStreamer, NumPy
    Open SDK Supports custom system build by customer
    Package Manager apt (Debian)
  • System Management
    Debug UART console
    Firmware Upgrade SD card flash
    Remote Access SSH
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Standard package*

  • Mo 68A AI Single Board Computer *1
  • Optional accessories
  • Power Supply *1
  • هوائي واي فاي *1
  • RTC Battery *1
  • TTL Debug Serial Cable *1
  • Fan *1
  • كابل إيثرنت *1
  • 32GB SD Card *1
  • Micro HDMI to HDMI (MO 62A) *1
  • Mini DP to DP (MO 68A) *1

* Standard package contents vary by standard order codes.

Contact us directly to learn more about our packaging options.

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منصة إدارة أجهزة إنترنت الأشياء

Device management, remote monitoring, edge app management, and remote maintenance to help industrial enterprises build intelligent edge networks.

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Frequently Asked Questions

What does the MO-68A offer?

The MO-68A is an 8-TOPS AI single-board computer for on-device vision inference at the edge, built on the TI AM68A SoC (TDA4VE / J721S2 family). Key specs:

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Compute2× Cortex-A72 @ 2.0 GHz + 2× C7x DSP + 8-TOPS Deep Learning Accelerator
Vision pipelineOn-chip ISP + VPAC (RGB-IR, WDR, LDC) + DMPAC (depth and motion); up to 2× 4-lane MIPI CSI-2
RAMLPDDR4, 4 GB / 8 GB (default) SKUs ( MO-68A-4G/-8G )
OSArmbian (Debian-based)
الاتصال1× Gigabit Ethernet
Other I/O4× USB 3.0 Type-A, 1× PCIe 3.0, 1× mini DisplayPort (or up to 2× MIPI DSI), 40-pin HAT-compatible header, micro SD
حمايةSecure Boot, ARM TrustZone, OP-TEE, hardware AES-256
Power / sizeUSB Type-C 5 V/5 A (25 W max), 85 × 56 mm, 53 g — active fan required

The 85 × 56 mm board and 40-pin HAT-compatible layout are mechanically compatible with standard SBC ecosystems. Typical applications: AI vision boxes, intelligent cameras, edge AI inference terminals, smart manufacturing, smart city, smart energy, smart healthcare, public utilities. The MO-68A is a developer-oriented SBC managed via SSH and standard Debian/Armbian tooling — it does not run InHand IEOS or DeviceLive.

  1. Flash the SD card — download the MO68A Armbian image from the InHand website. Use Armbian Imager (the recommended flash tool — *not* balenaEtcher) to write the image to a ≥16 GB Class 10 / UHS-I micro SD card. Select Use Custom Image, choose the storage carefully, then Erase & Flash.
  2. Connect peripherals in order — fan first (4-pin PWM at J7, required for thermal management), then SD card (J23), then optionally a mini DisplayPort monitor (J9) and USB keyboard/mouse for desktop use, then RJ45 Ethernet (J1).
  3. Apply power last — USB-C 5 V/5 A at J5. The status LED (D1) lights red immediately, then turns solid green when the OS is running. Normal boot ≈ 30–45 s; the first boot adds 1–2 minutes while the root filesystem expands to fill the SD card, after which the board auto-reboots once.
  4. First login — default credentials root / 1234 . Armbian then runs a one-time initialization wizard for locale, timezone, and creating a regular user account.

For headless setup, the board uses DHCP on eth0 by default; SSH in with the user account created in the wizard. A 3-pin TTL UART debug header is also provided at J6 (115200 baud, 8N1) — 3.3 V logic only; a 5 V adapter will damage the board.

> Display note: The mini DisplayPort output requires a monitor with native DP input. Passive Mini DP-to-HDMI adapters do not work — use an active adapter or a DP-native monitor.

The 8-TOPS Deep Learning Accelerator and 2× C7x DSPs execute models through the TI Deep Learning (TIDL) runtime, which accepts TFLite ( .tflite ) and ONNX ( .onnx ) models. The on-chip ISP/VPAC handles RAW→RGB conversion, WDR, and lens correction; the DMPAC (depth and motion accelerator) adds depth-perception and motion-estimation pre-processing for stereo or multi-camera vision. Pre- and post-processing in Python or C/C++ commonly use OpenCV and GStreamer. The TI EdgeAI SDK and Linux frameworks (V4L2 for camera, DRM/KMS for display) are available on the supplied Armbian image.

At 8 TOPS — 4× the MO-62A — the MO-68A is suited to higher-throughput on-device inference: stereo depth, multi-camera scene understanding, larger object-detection models, OCR at higher frame rates, and combined vision + motion analytics.

MO-62AMO-68A
———
OSDebian LinuxArmbian (Debian-based)
SoCTI AM62A74TI AM68A (TDA4VE / J721S2 family)
CPU4× Cortex-A53 @ 1.4 GHz2× Cortex-A72 @ 2.0 GHz
AI compute2 TOPS (1× C7x DSP + DLA)8 TOPS (2× C7x DSP + DLA + DMPAC)
RAM2 / 4 (default) / 8 GB4 / 8 GB (default)
USB4× USB 2.04× USB 3.0
PCIe—1× PCIe 3.0
Displaymicro HDMImini DisplayPort
MIPI1× CSI-2up to 2× CSI-2 / DSI (switchable)
Coolingactive fan optionalactive fan required
Weight47 g53 g

Pick the MO-62A for lower-cost 2-TOPS edge AI on a fanless or fan-optional board with passive cooling and HDMI display out. Pick the MO-68A when the application needs 4× the AI compute (stereo depth, multi-camera, larger models), faster USB 3.0 / PCIe 3.0 expansion, dual MIPI ports, or DMPAC-accelerated depth/motion processing.

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