The BeagleBoard.org Foundation introduced BeagleBone-AI SBC at Embedded World 2019 last February. The board is specifically designed for artificial intelligence workloads at the edge thanks to Texas Instruments AM5729 dual-core Cortex-A15 processor that embeds a dual-core C66x DSP, and 4 EVE (Embedded Vision Engine) cores.
The BeagleBone Black compatible board was not available at the time, but the Foundation has now formally launched the board, and you can buy BeagleBone-AI for $118 and up with heatsink and antenna on sites such as Mouser, OKdo, or Newark.
BeagleBone-AI full specifications have now been published:
- SoC – TI Sitara AM5729 with
- Dual-core Cortex-A15 processor @ 1.5 GHz
- 2x dual-core PRUs
- 2x Cortex-M4 real-time cores
- dual core C66x VLIW DSP
- 4x EVEs
- 2.5MB of on-chip L3 RAM
- VA-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
- System Memory – 1GB RAM
- Storage – 16GB on-board eMMC flash with high-speed interface, MicroSD card slot
- Video & Audio Output – Micro HDMI port
- Connectivity – Gigabit Ethernet and high-speed WiFi, dual-band WiFi 5 and Bluetooth 4.2 LE
- USB – 1x USB 3.0 type-C for power and superspeed dual-role controller, 1x USB 2.0 type-A host
- Expansion – 2x 46-pin BeagleBone Black (BBB) compatible headers working with existing cape add-on boards
- Debugging – Serial header
- Misc – Reset button, 5x user LEDs, power button
- Power Supply – 5V/3A via USB-C port
- Dimensions – 86.4 x 53.4 mm (compatible with BBB)
The solutions is said to offer a “zero-download out-of-box software experience” with TI C66x digital signal processor (DSP) cores and embedded-vision-engine (EVE) cores supported through an optimized TIDL (Texas Instruments Deep Learning) machine learning OpenCL API with pre-installed tools. The Linux powered board targets automation in industrial, commercial and home applications. You’ll find complete documentation (Wiki tab), and hardware design files since the board is open-source hardware, in Github.
Further information may also be found on the product page.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
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