AI-Ready Vision Kit for Smart Manufacturing

Quickly develop industrial manufacturing solutions.

  • Time-series data and video analytics frameworks on a single platform
  • Hardware-accelerated computer vision inference using the OpenVINO™ toolkit
  • Container-based software for easy customization and deployment

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Run Multiple Workloads

The included software provides video and time-series data ingestion and allows various analytics workloads to run on the same system.

Use Computer Vision Hardware Acceleration

Harness the performance of the CPU and the GPU for deep learning inference with the included OpenVINO™ toolkit.

Deploy Portable Software

Software based on Docker* containers gives flexibility and portability of solutions.

Who Needs This Product

System integrators and independent software vendors who work on industrial deployments

Use Cases

  • Product measurement, identification, and quality inspection​
  • Worker safety
  • Condition monitoring
  • Predictive maintenance

Reference Implementations

Object Flaw Detector​

Kit Details


  • JWIPC E7QL developer kit
  • 24-volt power supply

Preinstalled Software

  • Ubuntu* 16.04
  • OpenVINO™ toolkit

Hardware Specifications

System Board

Intel® Core™ i7-6700TE processor (2.4 GHz, quad core, 35 W thermal design power)

Intel® Q170 Chipset

16 GB DDR4 system memory

256 GB solid state drive (SSD) and 1 TB hard disk drive (HDD)


I/O Interfaces

6 USB 3.0 ports

2 RS-232 serial ports


1 DisplayPort*


1 Intel® Ethernet Connection I219-LM

1 Intel® Ethernet Connection I210

Expansion Slots

2 PCIe* 3.0 with 8 data lines

1 Mini-PCIe*


Operating Temperature

Industrial SSD: -20°C to 60°C

Commercial HDD: 0°C to 40°C

Documentation & Support