SPIDER Automation | BeagleBoard BeagleBone AI – TI AM5729, 1.5GHz Cortex-A15, 1GB DDR3L & 16GB eMMC | AI, Machine Learning & Computer Vision Platform
Product Overview & Embedded AI Computing Platform
The BeagleBoard BeagleBone AI is a high-performance single board computer developed for engineers and developers working with artificial intelligence, machine learning and computer vision. Based on the Texas Instruments AM5729 SoC, it combines general-purpose processing, digital signal processing, real-time control and dedicated vision acceleration in one embedded computing platform.
The main processor is a dual-core ARM Cortex-A15 running at 1.5GHz, supported by 1GB DDR3L RAM and 16GB onboard eMMC flash storage. This hardware configuration provides a foundation for embedded Linux applications, AI development and advanced industrial or commercial computing systems.
BeagleBone AI uses a heterogeneous processing architecture that integrates dual C66x digital signal processor (DSP) cores, four ARM Cortex-M4 co-processors, four Programmable Real-Time Units (PRUs) and four Embedded Vision Engines (EVEs). These processing resources are designed to support different computing tasks, including digital signal processing, deterministic real-time control and computer vision workloads.
The platform also includes an optimized TIDL machine-learning environment with an OpenCL API and pre-installed tools. Its connectivity options include Gigabit Ethernet, dual-band wireless connectivity, Bluetooth, USB Type-C SuperSpeed dual-role connectivity, USB-A host and microHDMI. BeagleBone AI retains the BeagleBone Black header and mechanical compatibility approach, allowing expansion through many compatible BeagleBone Cape add-on boards.
Technical Features & Performance Characteristics
- Texas Instruments AM5729 SoC: Built around the AM5729 system-on-chip for advanced embedded computing and AI development.
- Dual-Core ARM Cortex-A15: Main processor operates at 1.5GHz for general-purpose processing tasks.
- Dual C66x DSP Cores: Dedicated digital signal processing resources support signal-processing workloads.
- Four ARM Cortex-M4 Co-Processors: Provides additional processing resources for real-time control applications.
- Four Programmable Real-Time Units: PRU subsystems support deterministic real-time processing and hardware control tasks.
- Four Embedded Vision Engines: Dedicated EVEs support computer vision and vision-processing workloads.
- TIDL Machine-Learning Support: Optimized TIDL machine-learning software environment with OpenCL API and pre-installed tools.
- 1GB DDR3L RAM: Integrated memory supports the board’s embedded computing environment.
- 16GB Onboard eMMC: Provides integrated flash storage for operating system and application requirements.
- PowerVR SGX544 3D GPU: Additional dual-core graphics processing capability for 3D graphics workloads.
- Vivante GC320 2D Graphics Accelerator: Dedicated 2D graphics acceleration hardware.
- Gigabit Ethernet: Provides wired network connectivity for connected embedded systems.
- Dual-Band Wi-Fi: Supports wireless connectivity in the 2.4GHz and 5GHz bands.
- Bluetooth Connectivity: Includes Bluetooth wireless connectivity.
- USB Type-C SuperSpeed Interface: Provides a SuperSpeed dual-role USB controller and USB Type-C connectivity.
- USB-A Host Port: An additional USB-A host interface supports compatible peripheral connections.
- microHDMI Output: Provides a video output interface through a microHDMI connector.
- BeagleBone Cape Headers: Supports expansion using many compatible BeagleBone Cape add-on boards.
- Out-of-Box Software Experience: Designed to provide a zero-download out-of-box software experience.
Performance Advantages
- Dedicated AI Processing Resources: The combination of DSP cores, EVEs and the TIDL software environment supports machine-learning and computer vision development.
- Heterogeneous Computing: Combines Cortex-A15, Cortex-M4, DSP and PRU processing resources for different classes of embedded workloads.
- Real-Time Control Capability: Dedicated PRU subsystems and Cortex-M4 co-processors provide resources for real-time control applications.
- Integrated Storage: Onboard 16GB eMMC flash provides storage without requiring a separate MicroSD card for the listed onboard storage capacity.
- Flexible Network Connectivity: Gigabit Ethernet and dual-band Wi-Fi support wired and wireless network integration.
- Graphics Acceleration: Additional 3D GPU and 2D graphics accelerator hardware supports graphics-related processing.
- Hardware Expansion: BeagleBone Cape header compatibility allows the system to be extended with compatible add-on boards.
- Developer-Friendly Platform: The open-source Linux approach and pre-installed tools help developers get started with embedded AI applications.
Industrial, Commercial & AI Applications
- Machine Learning Development: Developing and evaluating embedded machine-learning applications using the supported TIDL environment.
- Computer Vision Systems: Prototyping vision-processing applications using the onboard Embedded Vision Engines.
- Industrial Automation: Developing intelligent embedded control systems using real-time processing resources.
- Intelligent Edge Computing: Building connected embedded computing platforms for local processing and decision-making.
- IoT & Networked Devices: Developing connected systems using Gigabit Ethernet, Wi-Fi and Bluetooth connectivity.
- Digital Signal Processing: Evaluating signal-processing applications using the dual C66x DSP cores.
- Real-Time Embedded Systems: Developing hardware control applications using PRU and Cortex-M4 processing resources.
- Embedded Graphics Applications: Prototyping graphics-related applications using the integrated 2D and 3D acceleration hardware.
Package Contents
- 1 × BeagleBone AI Fast Track for Embedded Artificial Intelligence
Product Specifications
| Parameter | Specification |
|---|---|
| Product Type | Single Board Computer (SBC) |
| Brand / Platform | BeagleBoard.org |
| Product Model | BeagleBone AI |
| Processor / SoC | Texas Instruments AM5729 |
| Main Processor | Dual-Core ARM Cortex-A15 |
| Processor Frequency | 1.5GHz |
| DSP Cores | 2 × C66x DSP |
| Cortex-M4 Co-Processors | 4 × ARM Cortex-M4 |
| Programmable Real-Time Units | 4 × PRUs |
| Embedded Vision Engines | 4 × EVEs |
| 3D GPU | Dual-Core PowerVR SGX544 |
| 2D Graphics Accelerator | Vivante GC320 |
| RAM Capacity | 1GB DDR3L |
| Flash Memory | 16GB onboard eMMC |
| Machine-Learning Support | TIDL optimized machine-learning environment with OpenCL API and pre-installed tools |
| Ethernet | Gigabit Ethernet |
| Wireless Connectivity | 2.4GHz / 5GHz Wi-Fi and Bluetooth |
| USB Type-C | SuperSpeed dual-role controller |
| USB Host Port | 1 × USB-A host port |
| Video Output | microHDMI |
| Expansion Compatibility | Compatible with many BeagleBone Cape add-on boards |
| Length | 90mm |
| Width | 54mm |
| Height | 15mm |
| Board Weight | 50g |
| Shipping Weight | 0.055kg |
| Shipping Dimensions | 14 × 10 × 4cm |
Hardware Integration & Development Recommendations
- Power Connection: Use the USB Type-C interface for the board’s supported power connection. Confirm the required supply specifications before integration.
- Network Integration: Select Gigabit Ethernet or supported dual-band Wi-Fi according to the application’s network architecture.
- Peripheral Connectivity: Use the USB-A host port to connect compatible USB peripherals.
- Display Connection: Use the microHDMI interface with a compatible display for supported video output.
- Cape Expansion: Verify the electrical and mechanical compatibility of a BeagleBone Cape before connecting it to the board.
- AI Application Development: Use the supplied TIDL/OpenCL software environment and pre-installed tools for supported machine-learning development workflows.
- Real-Time Processing: Evaluate PRU, Cortex-M4 and DSP resources according to the timing and processing requirements of the application.
