Corazon-AI

Corazon-AI

Corazon-AI is an EdgeAI platform built on a highly adaptive Zynq Ultrascale+ MPSoC device. It features Arm + FPGA architecture and integrates Xilinx Vitis AI Stack built on a Pico ITX form factor (100mm x 72mm). This platform is coupled with multiple high-speed connectivity options such as Dual GbE, Wi-Fi, BT 5.0, 4G network support via an M.2 expansion slot, Dual CAN, and USB 3.0. With the provision to connect 8 IP cameras, Corazon-AI becomes an ideal fit for EdgeAI Gateways bringing intelligence to the edge.

Applications
  • ADAS

  • Car Plate Recognition

  • Face Recognition

  • ITMS

  • People Counting

  • Smart Parking

  • Toll Management

Downloads

Specification

  • ZU5/ZU4/ZU3/ZU2 - Zynq Ultrascale+ MPSoC

    • Processing System (PS)
      • Quad/Dual ARM Cortex-A53 @ 1.5GHz
      • Dual Cortex-R5 @ 600MHz
      • H.264/H.265 Video Encoder/Decoder (VCU)
      • ARM Mali-400MP2 GPU @ 677MHz
    • Programming Logic (PL)
      • Up to 256K Logic cells
  • Memory Interfaces

    • 64bit, 2GB DDR4 with ECC for PS (Upgradable up to 8GB)
    • 32bit, 1GB DDR4 for PL (Upgradable up to 4GB)
    • 8GB eMMC Flash (Expandable to 256GB)
    • Micro SD Connector#
    • EEPROM for MAC Address
  • Connectivity

    • 802.11ac + BLE5.0
    • Gigabit Ethernet x 2

     

     

  • On-Board Interfaces

    • Display Port x 1
    • M.2 Slot x 1
    • USB 3.0 x 2
    • Micro SD x 1
    • HDMI 2.0 Input & HDMI2.0 Output
    • 12G SDI In & SDI Out
  • IO Expansion Connectors x 3

    • PS Interfaces:
      • UART x 1, RS232 x 1
      • SPI x 1, I2C x 1
      • CAN x 2
    • PL Interfaces:
      • FPGA IOs HP Bank IOs – 20 LVDS/40 SE IOs
      • FPGA IOs HD Bank IOs – 40 LVDS/80 SE IOs
      • 17 ADC Inputs
  • General Features

    • Power Input: 12 V
    • Form Factor: Pico-ITX(100mm x 72mm)
    • OS Support: Peta Linux with Vitis AI
    • Operating Temperature: Industrial, Commercial grade
    • Environment Specification: RoHS & REACH Compliant

HIGHLIGHTS

  • Live Video Analytics & Real-time decision-making on the Edge
  • Integrated DPU (AI engine) along with Vitis™ AI stack support for multiple CNN simultaneously
  • Multi-Camera Support – 8 IP Cameras up to 1080p, 2 USB3.0 Cameras, and SDI
  • Rapid integration and faster time to market for AI Edge Solutions
  • Heterogeneous ARM + FPGA Architecture
  • Connectivity Options: Ethernet, Wi-Fi, Bluetooth 5.0, 3G/4G/5G
  • Low Latency and power-efficient
  • 10+ Year Availability

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