[beagleboard] Battery power for BBAI?

[RaulRathmann]

Can the BBAI be powered simultaneously from both USB-C and from the 
Expansion header?

Can the BBAI PMIC (or some other mechanism) be used by Linux running on the 
ARM core to monitor the power situation and determine which power sources 
are providing power?

Thanks for any insights!

Raul

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[beagleboard] AM5729 process now in ACTIVE status

[RaulRathmann]

I noticed that the AM5729 has been changed to ACTIVE status and that there 
appears to be a greater than zero quantity available for ordering.

I also noticed that the Beagleboard X15, which like the Beagleboard AI is 
made with the AM5729 and now sourced by Seeed Studio is available for order 
on Mouser. Last I looked 300+ in stock.

Raul

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[beagleboard] Re: BeagleBone AI is here!

[RaulRathmann]

Went to Mouser and bought one!

Now to teach that AI to make me more money...

On Thursday, September 19, 2019 at 3:16:19 PM UTC-7, Mala Dies wrote:
>
> Hello,
>
> I saw that yesterday online at Mouser. Today, the email showed up. Nice!
>
> Seth
>
> P.S. I think you guys out-did yourselves. We shall see. Time to save a bit 
> and then splurge on a nice, new board. Yea boy!
>
> On Thursday, September 19, 2019 at 7:02:00 AM UTC-5, Jason Kridner wrote:
>>
>> *BeagleBoard.org® Launches BeagleBone® AI, Offering a Fast Track to 
>> Getting Started with Artificial Intelligence at the Edge*
>>
>> ROCHESTER, Mich., Sept.19, 2019 /PRNewswire/ -- The BeagleBoard.org® 
>> Foundation today announces general availability of the newest, fastest, 
>> most powerful BeagleBoard.org® BeagleBone® low cost development board yet, 
>> and it’s driving a whole new AI revolution. Built on our proven open source 
>> Linux approach, BeagleBone® AI fills the gap between small single board 
>> computers (SBCs) and more powerful industrial computers. Leveraging the 
>> Texas Instruments Sitara™ AM5729 processor, developers have access to 
>> powerful machine learning capabilities with the ease of the BeagleBone® 
>> Black header and mechanical compatibility.
>>
>> BeagleBone® AI makes it easy to explore how artificial intelligence (AI) 
>> and machine learning can be used in everyday life. Through BeagleBone® AI, 
>> developers can take advantage of the TI C66x digital-signal-processor (DSP) 
>> cores and embedded-vision-engine (EVE) cores on the Sitara AM5729 
>> processor. Machine learning is supported by an optimized TI Deep Learning 
>> (TIDL) software framework and pre-installed software tools. Downloading and 
>> running the latest examples of edge inference algorithms and applications 
>> is only a few clicks away.
>>
>> “This board is the answer to our community’s request to see the next 
>> major advancement in the BeagleBone® family” says Jason Kridner, co-founder 
>> of the BeagleBoard.org*®* Foundation. “Its feature set is jam packed and 
>> offers capabilities unparalleled by any other single board computer, open 
>> hardware or not.”
>>
>> BeagleBone® AI has a feature set that includes:
>>
>>- 
>>
>>BeagleBone® Black mechanical and header compatibility
>>- 
>>   
>>   Works with existing BeagleBoard.org® BeagleBone® cape add-on 
>>   boards and many available third-party cape add-on boards and enclosures
>>   
>>
>>- 
>>
>>1GB RAM and 16GB on-board eMMC flash with a high-speed interface
>>
>>
>>- 
>>
>>USB Type-C for power and superspeed dual-role controller; and USB 
>>Type-A host
>>
>>
>>- 
>>
>>Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth 4.2/BLE
>>
>>
>>- 
>>
>>microHDMI video and audio output
>>
>>
>>- 
>>
>>Zero-download out-of-box software experience
>>- 
>>
>>TI Sitara™ *AM5729 * processor with:
>>- 
>>   
>>   Dual 1.5GHz Arm® Cortex®-A15 microprocessor subsystem 
>>   - 
>>   
>>   2 C66x Floating-Point VLIW DSPs 
>>   - 
>>   
>>   4 Embedded Vision Engines (EVEs) supported by the TIDL software 
>>   framework library for machine learning
>>   - 
>>   
>>   2x Dual-Core Programmable Real-Time Unit (PRU) subsystems (4 PRUs 
>>   total) for ultra-low latency control and software generated peripherals
>>   - 
>>   
>>   2x Dual Arm® Cortex®-M4 co-processors for real-time control and 
>>   subsystem management
>>   - 
>>   
>>   IVA-HD subsystem with support for 4K at 15fps H.264 encode/decode 
>>   and other codecs at 1080p60
>>   - 
>>   
>>   Vivante® GC320 2D graphics accelerator
>>   - 
>>   
>>   Dual-Core PowerVR® SGX544™ 3D GPU
>>   
>> “We believe this board will excel in everyday automation in industrial, 
>> commercial and home applications” stated Christine Long, Executive Director 
>> of the BeagleBoard.org® Foundation. “And at an extremely competitive price 
>> point we’ve made this board available to everyone. It’s an industry game 
>> changer.”
>>
>> BeagleBone® AI is available to buy as a standalone board, heat sink and 
>> antenna included, from BeagleBoard.org’s® key distribution partners. Visit 
>> *http://beaglebone.ai 
>> *. 
>> --
>>
>> For information about BeagleBoard.org® Foundation, contact Christine 
>> Long, Executive Director, at *chri...@beagleboard.org*
>>
>> BeagleBoard.org*®* and BeagleBone*®* are registered trademarks of the 
>> BeagleBoard.org*®* Foundation, a 501c3 US-based non-profit corporation
>>
>> Sitara is a trademark of Texas Instruments  
>>
>> -- 
>> https://beagleboard.org/about - a 501c3 non-profit educating around open 
>> hardware computing
>>
>

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[beagleboard] Re: JTAG Debugging - 2 Code Composers on the Same Machine - One under Ubuntu - The Other under Windows

[RaulRathmann]

I have experience with various C6x DSP EVM and custom boards, but I've 
never worked with a Sitara board.

What is driving the need to use Linux in the development/debug workflow? Is 
it development on the ARM portion, or development on the C6x DSP? Or both?

I recently ordered the Beagleboard x15 (just got a batch at Digikey of the 
Rev C's get 'em while they're hot), so I'll be tackling a similar situation 
soon. I was figuring that since CCS can run on Windows it would cover at 
least the DSP part of development. Then for any Linux part, I could use 
Visual Studio '17 with the Linux dev/debug support (just need SSH and 
compiler on target).

I'm not against working in Linux per se, and I definitely don't mind 
targeting Linux for embedded work, but I have my main dev gear running 
Windows and I don't want to lug around extra gear.

Raul

 

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