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.
FOTO
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
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Technische Kernspezifikationen
AI Accelerator 2 × C7x DSP + Deep Learning Accelerator, 8 TOPSAI Runtime TI TIDL, supports TFLite / ONNXCPU 2 × Cortex-A72 @ 2.0 GHzDevelopment Python, C/C++, OpenCV, GStreamerAbmessungen (B × T × H) 85 × 56 mmSchnittstelle 1 × GbE, 4 × USB 3.0, PCIe 3.0, mini DP, MIPI DSI/CSI-2Betriebstemperatur 0 °C ~ +50 °CBetriebssystem Debian 13 (Embedded Linux)Power USB Type-C 5 V / 5 A DC; ≤ 25 WRAM LPDDR4 4 GB / 8 GB (default)Sicherheit Secure Boot, TrustZone, OP-TEE, Hardware AES-256Vision VPAC, DMPAC, 4K@60fps H.265 / H.264 codec
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Hardware Platform
AI Accelerator 2 × C7x DSP + Deep Learning Accelerator, 8 TOPSCPU TI AM68A, 2 × Cortex-A72 @ 2.0 GHzISP / Vision On-chip ISP + VPAC (RGB-IR, WDR, LDC)RAM LPDDR4 4 GB / 8 GB (default)
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Schnittstelle
40-pin Connector GPIO / I²C / I²S / SPI / UART / PCM, HAT-compatibleAudio I²S via 40-pin connectorButton 1 × Reset buttonCamera up to 2 × 4-lane MIPI CSI-2Debug 1 × TTL UARTDisplay 1 × mini DP + up to 2 × 4-lane MIPI DSIEthernet 1 × Gigabit EthernetFan Connector 1 × 4-pin fan connector (5 V, PWM, GND, TACH)LED PWR, STATUSPCIe 1 × PCIe 3.0Lagerung Micro SDUSB 4 × USB 3.0 Type-A
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Power
Stromverbrauch 25 W (MAX)Power input USB Type-C 5 V / 5 A DC
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Mechanisch
Kühlung Active fan (optional)Abmessungen (B × T × H) 85 × 56 mmGehäuse PCBRTC Support (battery backup)Weight 53 g
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Umwelt
Betriebstemperatur 0 °C ~ +50 °CLagertemperatur -20 °C ~ +70 °C
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Betriebssystem
Kernel Linux Kernel 6.12Betriebssystem Debian 13 Trixie
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AI & Vision
AI Runtime TI TIDL, supports TFLite / ONNXCamera Framework V4L2Display Framework DRM / KMSVision SDK TI EdgeAI SDK
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Network Features
IP Application TCP / UDP, ICMP, DNS, DHCPIP Routing Static routing
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Sicherheit
Crypto Accelerator Hardware AES-256OP-TEE UnterstützungSicherer Boot UnterstützungTrustZone Unterstützung
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Development
Languages Python, C/C++Libraries OpenCV, GStreamer, NumPyOpen SDK Supports custom system build by customerPackage Manager apt (Debian)
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System Management
Debug UART consoleFirmware Upgrade SD card flashRemote Access SSH
Standardpaket*
- Mo 68A AI Single Board Computer *1
- Optional accessories
- Power Supply *1
- Wi-Fi-Antenne *1
- RTC Battery *1
- TTL Debug Serial Cable *1
- Fan *1
- Ethernet-Kabel *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.
Kontaktieren Sie uns Um mehr über unsere Verpackungsoptionen zu erfahren, wenden Sie sich bitte direkt an uns.
DeviceLive
IoT-Geräteverwaltungsplattform
Device management, remote monitoring, edge app management, and remote maintenance to help industrial enterprises build intelligent edge networks.
Häufig gestellte Fragen
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:
| — | — |
| Compute | 2× Cortex-A72 @ 2.0 GHz + 2× C7x DSP + 8-TOPS Deep Learning Accelerator |
| Vision pipeline | On-chip ISP + VPAC (RGB-IR, WDR, LDC) + DMPAC (depth and motion); up to 2× 4-lane MIPI CSI-2 |
| RAM | LPDDR4, 4 GB / 8 GB (default) SKUs ( MO-68A-4G/-8G ) |
| Betriebssystem | Armbian (Debian-based) |
| Konnektivität | 1× Gigabit Ethernet |
| Other I/O | 4× 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 |
| Sicherheit | Secure Boot, ARM TrustZone, OP-TEE, hardware AES-256 |
| Power / size | USB 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.
How do I flash and boot the MO-68A for the first time?
- 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.
- 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).
- 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.
- 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.
How do I run AI models on the MO-68A?
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.
How does the MO-68A compare to the MO-62A?
| MO-62A | MO-68A | |
| — | — | — |
| Betriebssystem | Debian Linux | Armbian (Debian-based) |
| SoC | TI AM62A74 | TI AM68A (TDA4VE / J721S2 family) |
| CPU | 4× Cortex-A53 @ 1.4 GHz | 2× Cortex-A72 @ 2.0 GHz |
| AI compute | 2 TOPS (1× C7x DSP + DLA) | 8 TOPS (2× C7x DSP + DLA + DMPAC) |
| RAM | 2 / 4 (default) / 8 GB | 4 / 8 GB (default) |
| USB | 4× USB 2.0 | 4× USB 3.0 |
| PCIe | — | 1× PCIe 3.0 |
| Display | micro HDMI | mini DisplayPort |
| MIPI | 1× CSI-2 | up to 2× CSI-2 / DSI (switchable) |
| Kühlung | active fan optional | active fan required |
| Weight | 47 g | 53 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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