EOS-J Series

EOS-J Series

EOS-J Series

Product catalog summary
Introduction
ADLINK's EOS-J vision system integrates the NVIDIA® Jetson TX2, frame grabber, and industrial DI/O in a compact package, designed for machine vision applications at the edge. It addresses complex problems using Deep Learning, supported by GigE, USB3, and other PCIe-based frame grabbers. The system is equipped with 256 CUDA cores and ARM Cortex-A57 processors, facilitating robust Deep Learning inference for defect inspection and object classification in manufacturing environments. It supports neural models optimized by NVIDIA® tools like Digits or TensorRT, simplifying the development of user-specific machine vision solutions. The EOS-J also includes an Ethernet port, two communication ports, and an HDMI output for field integration.
Features
  • Integration of NVIDIA® Jetson TX2, frame grabber, and industrial I/O.
  • Supports ADLINK GigE, USB3, and other PCIe-based frame grabbers.
  • Industrial isolated 32CH DI/O.
  • 256 core Pascal NVIDIA® GPU for Deep Learning Inference.
  • ARMv8 (64-bit) multi-processor CPU complex for heterogeneous multi-processing.
Software Support
  • Operating System: Ubuntu
  • Graphics and Computing: Open GL, CUDA
Ordering Information
  • EOS-J-GigE: 4CH GigE vision system with 32CH isolated DI/O.
  • EOS-J-USB3: 4CH USB3 vision system with 32CH isolated DI/O.
Specifications
  • Model Name: EOS-J
  • Processors & Memory: NVIDIA® Denver 2 (Dual-Core) & ARM Cortex-A57 (Quad-Core) processor @ 2.0GHz, 256 Core NVIDIA® Pascal GPU, 8GB LPDDR4 RAM, 32GB eMMC storage.
  • I/O Interface: Supports ADLINK GigE and USB3 frame grabbers, 32CH Isolated DI/O, 1x HDMI output, 1x GbE Ethernet, 2 x COM port, 2x USB3.0 for keyboard and mouse.
  • Mechanical: Dimensions: 211mm W x 207.7mm D x 74.4mm H.
  • Environmental & Electrical: Power Consumption: 12VDC, 90W, Operating Temperature: 0°C to 45°C.
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Catalog excerpts

EOS-J Series-1

EOS-J SeriesNVIDIA® Jetson TX2-based Vision System Features • Integrating NVIDIA® Jetson TX2, frame grabber, and industrial I/O • Supports ADLINK GigE, USB3 and other PCIe-based frame grabbers • Industrial isolated 32CH DI/O • 256 core Pascal NVIDIA® GPU supports Deep Learning Inference • ARMv8 (64-bit) multi-processor CPU complex for heterogeneous multi-processing Introduction ADLINK's EOS-J vision system integrates the NVIDIA® Jetson TX2, frame grabber, and industrial DI/O in a compact package, serving machine vision applications at the edge. Addressing problems that can't be solved by other rule-base algorithms, EOS-J is equipped with the NVIDIA® Jetson TX2 and also supports GigE, SUB3 and other PCIe based frame grabbers to solve problems by using Deep Learning. By integrating the Jetson TX2, the EOS-J provides 256 CUDA cores and ARM Cortex-A57 processors, enabling robust Deep Learning inference, empowering defect inspection and object classification requirements in manufacturing environments. A neural model optimized by NVIDIA® tools like Digits or TensorRT can be deployed on the EOS-J directly, easing development of user-specific machine vision solutions. The EOS-J provides an Ethernet port and two communication ports, and a HDMI output for maximum integration in the field. Software Support • Ubuntu • Open GL, CUDA Ordering Information • EOS-J-GigE 4CH GigE vision system with 32CH isolated DI/O • EOS-J-USB3 4CH USB3 vision system with 32CH isolated DI/O

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EOS-J Series-2

Leading EDGE COMPUTING www.adlinktech.com All products and company name listed are trademarks or trade names of their respective companies. Updated Feb. 22, 2019. ©2019 ADLINK Technology, Inc. All Rights Reserved. All specifications are subject to change without further notice.

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