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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 9546 views
  • Likes 7 likes
  • Comments 26 comments
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BeagleBone®︎ AI - Technical Specifications

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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.

 

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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 6 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 6 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 6 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…
  • jomoenginer
    jomoenginer over 6 years ago in reply to clem57

    I am not missing the point.  I believe you missed mine.

     

    With regards to the CPU/GPU/FPU/PRU stuff, that is where OpenCL support plays in.  However, the overall power of the board is still behind many of the similar boards out there at a similar price or less.

     

    As far as Cape support is concerned, that is another area that BB has an issue with since with any new OS support they tend to lose support for some supported Capes and it takes some effort to get them to work again, if at all.

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  • clem57
    clem57 over 6 years ago in reply to clem57

    PS. Oh did I forget to say the capes for the old BBB should work with this one (keeping my fingers crossed).

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  • clem57
    clem57 over 6 years ago in reply to jomoenginer

    In my humble opinion, jomoenginer may be missing the point. The processing of images using the PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator may not be the selling point or even a major consideration. In my view, these are the features to look at:

    • 2x C66x FPU VLIW DSP
    • 2x PRU-ICSS Dual Core Microprocessor
    • 2x ARM Cortex-M4 Dual Core Processor

    Why you ask? The reason lies with the expanded PRU resources for interrupt driven side tasks. The Cortex M4 for connecting the sensors and what not. The sad part here was not using the M4F variant to support floating point arithmetic dealing with ADC/DAC interfaces. The the unusual  part are the DSP's which TI has had much experience with. The tricky part of using the DSP's would be how much can be done at the C level for programming. Inline assembler probable intimidate many people. But I am game to try. Right now I am doing due diligence lining up the resources to consider what can be done.

     

    Clem

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  • jomoenginer
    jomoenginer over 6 years ago in reply to cstanton

    I not sure if I agree that is still under development since there are plenty of Single Board Computers and dev kits that support OpenGL ES even OpenGL ES 3.0 and have for some time.  Perhaps it is a bit new for the newer boards like the RasPi and BBBs.   

     

    As far as running something like Quake on a RasPi, I would think that is more of limitation of the board capabilities then support for OpenGL ES.  I ran Doom on a RasPi 4 and it seemed fine but certainly not like on a PC with a multiple core GPU.

     

    I am not sure what a OpenGL instruction set is since OpenGL(ES) is an API.

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  • cstanton
    cstanton over 6 years ago in reply to jomoenginer

    OpenGL support on single board computers is still an area that's under development, Raspberry Pi has had to come a long way in the years it's been around to have the sufficient graphics support without relying on its binary blob and I think the open source driver is still working on its OpenGL instruction set image Taken from my ad-hoc tests of trying to run Quake 3 on it at least!

     

    > Despite all this, I may have to grab one just to see how it performs against the other devices I have on hand.

     

     

    It'll be great to see what you find with it, I think with this board there's more the potential for parallel processing of different types of functionality.

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  • jomoenginer
    jomoenginer over 6 years ago

    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 was a bit unfortunate and would have like to have seen perhaps a newer AM67 based processor considering the A-15 came out back in 2012. However the AM57 does offer the extra Video and Graphics Accelerators.  But, then again the dual-core PowerVR SGX544 3D GPU and a Vivante GC320 2D graphics accelerator only support OpenGL ES 2.x where the RasPi 4 supports OpenGL 3.0. Memory wise, the BB AI only has 1GB of RAM which will be a limitation especially when considering this is being marketed as a ML/AI focused device.  At least they put 16Gb eMMC on board and the four Embedded Vision Engines are a nice add and may help where the BB AI is lacking in other areas.

     

    The $118.00 US price tag is a bit of an issue as well.  At that price I would have to question why get this over a NVIDIA Jetson Nano which has a ton more power.

     

    Despite all this, I may have to grab one just to see how it performs against the other devices I have on hand.

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