Designed to fill the gap between small single-board computers (SBCs) and more powerful industrial computers, the BeagleBone AI , says the organization, makes it easy to explore how artificial intelligence (AI) can be used in everyday life. The board is built on open source Linux and leverages Texas Instruments' Sitara AM5729 processor to enable users to develop everyday automation in industrial, commercial, and home applications.
With BeagleBone AI, says the organization, developers have access to powerful machine learning capabilities with the ease of the BeagleBone Black header and mechanical compatibility.
"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."
The board enables developers to 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.
The BeagleBone AI feature set includes the following:
- 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