BeagleBoard BeagleBone® AI-64

BeagleBoard BeagleBone® AI-64 presents a complete AI and Machine Learning System with the convenience and expandability of the BeagleBone platform. The BeagleBone AI-64 offers onboard peripherals to get started immediately learning and building applications.

The BeagleBoard BeagleBone AI-64 delivers a massive amount of computing power in an easy-to-use platform to build everything from autonomous robots to building automation. To start building performance-optimized embedded applications users require a locally hosted, ready-to-use, open-source-focused toolchain, and development environment, a simple web browser, power source, and network connection. Expansion possibilities are achieved through standard BeagleBone cape headers, with hundreds of open-source hardware examples and dozens of readily available embedded expansion options available off-the-shelf.

Features

  • Expandability
    • BeagleBone® cape header compatibility for expansion with existing add-on boards
    • ikroBUS™ Shuttle header giving access to hundreds of existing Click™ sensors and actuators
  • Memory
    • 4GB LPDDR4
    • 16GB eMMC flash with high-speed interface
    • MicroSD card slot
  • High-speed interfaces
    • M.2 E-key PCIe connector to interface with Wi-Fi®/BLUETOOTH® adapters
    • USB 3.0 Type-C SuperSpeed interface for power input and data
    • 2 USB 3.0 Type-A SuperSpeed interface
    • Gigabit ethernet
  • Camera and Display Connectors
    • Mini DisplayPort interface
    • 2x 4-Lane CSI connector for popular camera options
    • 4-Lane DSI connector for popular display options
  • User interfaces
    • 1 Boot button, 1x Reset Button, 1x Power button
    • 1 Power indication LED, 5x User LEDs
    • 5V DC input power
    • 2 UART debug
    • JTAG 10pin Tag-Connect™ for debugging
  • TDA4VM Dual 64-bit Arm® Cortex®-A72, 2.0GHz processor feature:
    • C7x floating point, vector DSP, up to 1.0GHz, 80GFLOPS, 256GOPS
    • Deep-learning matrix multiply accelerator (MMA), up to 8 TOPS (8b) at 1GHz
    • Vision Processing Accelerators (VPAC) with Image Signal Processor (ISP) and multiple vision assist accelerators
    • Depth and Motion Processing Accelerators (DMPAC)
    • Dual 64-bit Arm® Cortex-A72 microprocessor subsystem at up to 2GHz
    • 1MB shared L2 cache per dual-core Cortex-A72 cluster
    • 32KB L1 D Cache and 48KB L1 I Cache per Cortex-A72 core
    • Six Arm® Cortex-R5F MCUs at up to 1GHz
    • Two C66x floating-point DSP, up to 1.35GHz, 40GFLOPS, 160GOPS
    • 3D GPU PowerVR® Rogue™ 8XE GE8430, up to 750MHz, 96GFLOPS, 6 Gpix/sec
    • Memory subsystem with up to 8MB of on-chip L3 RAM with ECC and coherency
    • Twelve Multichannel Audio Serial Port (MCASP) modules

Applications

  • Computer vision
  • Machine learning
  • Vision analytics
  • Video analytics
  • Machine vision
  • Autonomous robots and drones
  • AI-BOX and AIoT gateways
  • Media servers
  • Home security
  • Smart buildings
  • Retail automation

Components

Infographic - BeagleBoard BeagleBone® AI-64

Block Diagram

Block Diagram - BeagleBoard BeagleBone® AI-64
Publié le: 2022-04-18 | Mis à jour le: 2022-06-29