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BeagleBone AI


Availability: Available to Backorder

Exc. VAT: £161.25 Inc. VAT: £193.50

SKU:

S-DEV-15758

Quick overview

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 AM5729, developers have access to the powerful SoC with the ease of BeagleBone® Black header and mechanical compatibility.
Qty:

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 AM5729, developers have access to the powerful SoC with the ease of BeagleBone® Black header and mechanical compatibility.

BeagleBone® AI makes it easy to explore how artificial intelligence (AI) can be used in everyday life via the TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores supported through an optimized TIDL machine learning OpenCL API with pre-installed tools. Focused on everyday automation in industrial, commercial and home applications.

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; and USB type-A host
  • Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth
  • microHDMI
  • Zero-download out-of-box software experience with Debian GNU/Linux

Features:

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; and USB type-A host
  • Gigabit Ethernet, 2.4/5GHz WiFi, and Bluetooth
  • microHDMI
  • Zero-download out-of-box software experience with Debian GNU/Linux

Main Processor Features of the AM5729 Within BeagleBone® AI

  • Dual 1.5GHz ARM® Cortex®-A15 with out-of-order speculative issue 3-way superscalar execution pipeline for the fastest execution of existing 32-bit code
  • 2 C66x Floating-Point VLIW DSP supported by OpenCL
  • 4 Embedded Vision Engines (EVEs) supported by TIDL machine learning library
  • 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
  • IVA-HD subsystem with support for 4K @ 15fps H.264 encode/decode and other codecs @ 1080p60
  • Vivante® GC320 2D graphics accelerator
  • Dual-Core PowerVR® SGX544™ 3D GPU

Communications

  • BeagleBone Black header and mechanical compatibility
  • 16-bit LCD interfaces
  • 4+ UARTs
  • 2 I2C ports
  • 2 SPI ports
  • Lots of PRU I/O pins

Memory

  • 1GB RAM
  • 16GB on-board eMMC flash

Connectors

  • USB Type-C connector for power and SuperSpeed dual-role controller
  • Gigabit Ethernet
  • 802.11ac 2.4/5GHz WiFi via the AzureWave AW-CM256SM

Out of Box Software

  • Zero-download out of box software environment

Documents:

Documentation

Quick Start Guide

Block Diagram

Block Diagram

Board Component Locations

BoardComponentLocations