BEAGLE-3P-BBONE-AI
BeagleBone® AI AM5729 development board for embedded Artificial Intelligence
BEAGLE-3P-BBONE-AI
Overview
What is BeagleBone® AI?
Built on the proven BeagleBoard.org® open source Linux approach, BeagleBone® AI fills the gap between small SBCs and more powerful industrial computers. Based on the Texas Instruments, Sitara™ AM5729 processor, developers have access to a highly integrated and powerful SoC with the ease of BeagleBone® Black header and mechanical compatibility. BeagleBone® AI makes it easy to explore machine learning inference applications using the Sitara machine learning toolkit, which take advantage of the neural network hardware accelerators available in the AM5729 processor.
Processor: Texas Instruments Sitara AM5729
- Dual Arm® Cortex®-A15 microprocessor subsystem
- 2 C66x floating-point VLIW DSPs
- 2.5MB of on-chip L3 RAM
- 2x dual Arm® Cortex®-M4 co-processors
- 4x Embedded Vision Engines (EVEs)
- 2x dual-core Programmable Real-Time Unit and Industrial Communication SubSystem (PRU-ICSS)
- 2D-graphics accelerator (BB2D) subsystem
- Dual-core PowerVR® SGX544™ 3D GPU
- IVA-HD subsystem (4K @ 15fps encode and decode support for H.264, 1080p60 for others)
- more...
Board feature highlights
- BeagleBone Black mechanical and header compatibility
- 1GB RAM and 16GB on-board eMMC flash with high-speed interface
- USB type-C for power and superspeed dual-role controller; USB type-A host
- Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth
- microHDMI
- Zero-download out-of-box software experience with Debian GNU/Linux
BeagleBone AI | BeagleBone Black (or BeagleBone Black Wireless) | |
System on Chip Main Processor | Texas Instruments Sitara AM5729 | Texas Instruments Sitara AM3358 |
2x ARM Cortex-A15 | ARM Cortex-A8 | |
Maximum Main Processor Speed | 1.5GHz | 1GHz |
Co-processors | 2xC66x, 4xPRU, 4xARM Cortex-M4, 4xEVE, 2xPowerVR SGX544, IVA-HD | 2xPRU, ARM Cortex-M3 |
Analog Pins | 7 (4-wire touchscreen capable) (3.3V) | 7 (4-wire touchscreen capable) (1.8V) |
Digital Pins | 72 (including 7 analog pins which are digital capable) | 65 |
Memory | 1GB DDR3 16GB eMMC flash on-board | 512MB DDR3 4GB eMMC flash on-board microSD card slot |
USB | USB 3.0 Type-C 5Gbps Host/Client Port USB 2.0 Type-A Host Port | USB 2.0 miniUSB 480Mbps Host/Client Port (Black) USB 2.0 microUSB 480Mbps Host/Client Port (Wireless) USB 2.0 Type-A Host Port |
Network | 1 Gigabit Ethernet Bluetooth 4.2/BLE | 10/100 Ethernet (Black-only) 2.4GHz WiFi (Wireless-only) Bluetooth 4.2/BLE (Wireless-only) |
Video | microHDMI Cape add-on boards | microHDMI Cape add-on boards |
Audio | microHDMI cape/USB add-ons Bluetooth | microHDMI cape/USB add-ons Bluetooth (Wireless-only) |
Supported Expansion Interfaces | 4x UART 16-bit LCD interface 2x I2C 2x SPI 8x PWM 4x Timer A/D (3.3V) CAN Pulse Capture Quadrature Encoder PRU GPIO PRU UART PRU Pulse Capture ... | 4x UART 16-bit LCD interface 2x I2C 2x SPI 8x PWM 4x Timer A/D (1.8V) CAN Pulse Capture Quadrature Encoder PRU GPIO PRU UART PRU Pulse Capture ... |
On-board Sensors | On-die processor temperature sensors | N/A |
Company Overview
BeagleBoard.org Foundation promotes and motivates open source development on Sitara-based systems. The key objectives of the organization are to provide education in and collaboration around the design and use of open-source software and hardware in embedded computing. BeagleBoard.org Foundation is a US-based 501(c)3 non-profit corporation.
Solutions
BeagleBoard, BeagleBone and PocketBeagle open hardware single board computers are ultra-low-cost, high-performance, low-power Sitara-based platforms with unlimited expansion capabilities. Rapidly prototype and demonstrate your ideas with a large community of like-minded developers.
BeagleBoard.org Foundation is a member of the TI third-party network.
Arm-based processors
Shunt voltage references
Supervisor & reset ICs
USB power switches & charging port controllers
Technical documentation
Related design resources
Hardware development
EVALUATION BOARD
Software development
SOFTWARE DEVELOPMENT KIT (SDK)
Support & training
Video series
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Disclaimer
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