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  • Author Author: cstanton
  • Date Created: 10 Sep 2019 3:27 PM Date Created
  • Last Updated Last Updated: 28 Jul 2020 3:29 PM
  • Views 2948 views
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BeagleBone®︎ AI - Technical Specifications

NEW! BeagleBoneRegistered AI

Technical Specifications | Frequently Asked Questions | Comparison Chart | BeagleBoneRegistered Accessories | Getting Started | BeagleBoneRegistered Quiz

 

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What is the BeagleBoneRegistered AI?

BeagleBoneRegistered AI, a new addition to the BeagleBoard.orgRegistered BeagleBoneRegistered family, is a high-end Single Board Computer aimed at developers interested in implementing machine-learning and computer vision with simplicity. BeagleBoneRegistered AI simplify the use of artificial intelligence (AI) in daily application via the TI C66x digital-signal-processor (DSP) cores, two dual-core ARM Cortex-M4 co-processors for real-time control, two dual-core Programmable Real-Time Unit (PRU) subsystems and four Embedded Vision Engines(EVEs) supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. The BeagleBoneRegistered AI also has an additional dual-core PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator. Focused on everyday automation in industrial, commercial and home applications.

BeagleBoneRegistered AI comes in a similar form-fact as BeagleBoneRegistered Black and compatible with many BeagleBoneRegistered Cape add-on boards make it easy to extend the functionality.

 

 

Processors and RAM

  • Dual 1.5GHz ARMRegistered CortexRegistered-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code
  • 2 C66x Floating-Point VLIW DSP supported by OpenCL
  • 4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library
  • 2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs total) for ultra low-latency control and software generated peripherals
  • Memory: 1GB RAM and 16GB on-board eMMC Flash

 

Connectivity

  • Gigabit Ethernet
  • 802.11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM
  • Bluetooth 4.2 and Bluetooth Low Energy via the AzureWave AW-CM256SM
  • USB Type-C for power and superspeed dual-role controller
  • USB type-A host

 

Audio and Video

  • IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60
  • VivanteRegistered GC320 2D graphics accelerator
  • Dual-Core PowerVRRegistered SGX544Tm 3D GPU

 

Additional Features and Connectivity

  • 2x46 expansion headers compatible with many BeagleBoneRegistered cape add-on boards
    • 16-bit LCD interfaces
    • 4+ UARTs
    • 2x I2C ports
    • 2x SPI ports
    • Lots of PRU I/O pins
  • Zero-download out of box software environment
  • Self-hosted web IDE with local compilers, libraries and examples
  • Debian distribution (initially version 9.9, 10.0 available)
  • Linux kernel support (initially 4.14, with 4.19 and 5.2 available)
  • Connectivity via USB gadget (network/serial), WiFi access point and station, Ethernet, and serial debug header

 

Click through to our online stores to Buy NowBuy Now

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Top Comments

  • jomoenginer
    jomoenginer over 2 years ago +2

    I had seen this from the BeagleBoard email and really wanted to be excited about it, but after looking deeper I could only muster a half-hearted Yawn.  The use of a TI AM5729 Dual Core ARMCortex-A15 processor…

  • clem57
    clem57 over 2 years ago in reply to coolkedar +2

    They have the normal capes that should work. Of course you can design your own or just breadboard what you wish.

    Yes coolkedar you can...

  • jomoenginer
    jomoenginer over 2 years ago in reply to coolkedar +2

    Like the other BBs, just ensure not to connect the sensor directly to a GPIO pin and be mindful that the GPIOs are 3.3v rather than 5v.  Derek Molloy in his books suggests to use a transistor or something…

Parents
  • coolkedar
    coolkedar over 2 years ago

    Can I attach various sensors like accelerometer , temperature sensors to it?

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  • clem57
    clem57 over 2 years ago in reply to coolkedar

    They have the normal capes that should work. Of course you can design your own or just breadboard what you wish.

    Yes coolkedar you can...

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  • jomoenginer
    jomoenginer over 2 years ago in reply to clem57

    According to the Beaglebone AI GitHub/WiKi, there are no Capes listed as being supported with this board thus far.

     

    https://github.com/beagleboard/beaglebone-ai/wiki/Cape-Compatibility

     

    It states:

     

    Future home of the compatible cape list.

     

     

    There was an issue posted 10 days ago regarding the overlays though.

     

    https://github.com/beagleboard/beaglebone-ai/issues/18

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  • clem57
    clem57 over 2 years ago in reply to jomoenginer

    jomoenginer  your link just poured water on my fire to use a previous cape "Logibone" a small FPGA Spartan 6. Well I certainly will be giving it a college try when/if selected. Thanks for the pointer...

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  • clem57
    clem57 over 2 years ago in reply to jomoenginer

    jomoenginer  your link just poured water on my fire to use a previous cape "Logibone" a small FPGA Spartan 6. Well I certainly will be giving it a college try when/if selected. Thanks for the pointer...

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  • jomoenginer
    jomoenginer over 2 years ago in reply to clem57

    Considering the age of the LOGI Bone, it might be best to try it with one of the current BB images on say a BB Black to ensure it still works or see if the folks at Valentfx have updated their images. The images I see for that Cape seem to date back to 2014 or 2015.  However, I am not sure why folks are still using the Spartan 6 considering this has been EOL for some time now.

     

    I have a BB AI inbound since I am a glutton for punishment.  There is a mini Maker Faire in my locale on October 12th, so I'll see if I can get anything ROS or Vision related running on this before then.

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  • clem57
    clem57 over 2 years ago in reply to jomoenginer

    Yeah I understand your point. But I have it already and was thinking ht PL would help capture images quicker and allow some image parsing along the way. You are right about testing on a BBB first...

    Thanks

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  • jeffronium
    jeffronium over 2 years ago in reply to clem57

    I don't know that the Spartan 6 Cape will not work. I just imagine that there are no Capes listed yet because there are none with specific AI board support.

    I'd have a crack if I were you. It would be a great addition to the suite of toys the AI has on board!

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