Corazon-AI Gen2

Corazon-AI Gen2

Corazon-AI Gen2 is the next-generation intelligent device with exceptional computing power to process AI data and algorithms on the edge. It gives high-performance and power efficiency in an embedded AI computing module. It can run multiple neural networks in parallel to deploy a wide range of industrial and machine vision applications.

Category:
Applications
  • ADAS

  • Smart Parking

  • ITMS

  • Vehicle Detection

  • Motion Detection

  • Toll Management

  • Face Recognition

  • Car Plate Recognition

  • Queue Management

  • People Counting

 VALUE PROPOSITION

  • Hardware-accelerated pre-processing and post-processing
  • Video Analytics & Real-time decision-making on the Edge
  • Deployment ready AI hardware and AI applications
  • Heterogeneous ARM + FPGA Architecture
  • Custom Solution on the requirement
  • Multi-Camera Support – 8 IP up to 1080p, 2 USB3.0, SDI & LiDAR*
  • Rapid integration and faster time to market for AI Edge Solutions
  • Connectivity Options: Ethernet, Wi-Fi, Bluetooth 5.0, 3G/4G
  • Low Latency and power-efficient
  • 10+ Year Availability

SPECIFICATIONS

Hardware

CPU & GPU

    • Quad-core Arm Cortex-A53 Based  APU Up to 1.5GHz
    • Dual-core Arm Cortex-R5 RPU up to 600MHz
    • ARM MALI – 400MP2 up to 677 MHz

Memory

    • 64bit, 4GB DDR4 with ECC for PS (Upgradable up to 8GB)
    • 32bit, 2GB DDR4 for PL (Upgradable up to 4GB)

Storage

    • 8GB eMMC Flash (Expandable to 256GB)
    • EEPROM for MAC Address Secure Key
    • M.2 SATA extended storage for recording
    • USB3.0 x 2

Connectivity & Cameras Supported

    • Wi-Fi 802.11 b/g/n/ac, BLE 5.0, Gigabit Ethernet x 2, CAN x 2
    • Cameras:

RTSP(IP) x 8, USB x 2, 3G-SDI x 1, LiDAR

Display & IO’s

    • 4K Display Port Display with Audio
    • SPI x 1, CAN x 2, I2C x 1, GPIO header

Software

Embedded Linux

    • Petalinux Package integrated with Yocto
    • Vision Library for Hardware Acceleration
    • Linux Kernel 5.4.xx

Vitis AI Stack

Packages Integrated

                                           

Automotive Standard                      Robotics Standard

                                   

Cloud Integrated

In-built FPGA Module

AI Engine

    • Dual Core DPU 4096 @330MHz for ~2704 GOPs
    • DPU 4096 @330MHz for ~1352 GOPs

Encode/Decode

    • H.264/H.265
      • 8x 1080p @ 30fps
      • 4x 1080p @ 60fps
      • 32x 480p @ 30fps
    • JPEG, MJPEG*

General Features

Environment Specification & Compliance

    • REACH, ROHS & CE*

Enclosure Dimension & Form Factor

    • 117mm x 95.6mm x 46.8mm ( Enclosure alone )
    • 118.6mm x 97.3mm x 46.8mm ( Enclosure with connector part)
    • 110mm x 90mm ( Form Factor)

Power Input & Operating Temperature

    • 12V, 5A AC Adaptor
    • 0°C to +85°C (Extended)
    • -40°C to +85°C (Industrial)

* In Progress

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