CANSEC 2022: Canada’s Largest Global Defense and Security Tradeshow

CANSEC 2022

Location: Booth #1005, EY Center, Ottawa, Ontario
Date: June 1-2, 2022

Once again, the Canadian Association of Defense and Security Industries (CADSI) is showcasing leading-edge technologies, products, and services for all military units alongside first responders, police, border security entities, and special operations units. This is its 24th annual trade show.

This year, Integrys is presenting new products from 6 of our suppliers at our booth:

COMPUTING SPOTLIGHT: We’re showcasing Systel’s rugged embedded edge computing systems from their Strike product family which are ideal for mission-critical multi-sensor applications. These next-generation, high performance computing solutions are fully rugged and include:

Kite-Strike™: an embedded edge supercomputer. Integrating the NVIDIA Jetson AGX Xavier™ system-on-module, Kite-Strike™ is purpose-built for deployment in harsh environments, offering maximum capability and reliability in a compact form factor.

Raven-Strikeᴿ II: high-end COTS server-class performance and capability in a fully rugged and sealed system. Raven-Strike® II is purpose-built for deployment in austere conditions and can be fielded in any environment.

Hawk-Strikeᴿ IVPicture2.png: a multi-mission embedded edge computer. Hawk-Strike® IV boasts a rich feature set built around an extreme rugged form factor, providing an economy of capability within a superior SWaP-C optimization effort. Hawk-Strike® IV supports and enables real-time AI training and inferencing by integrating multiple immediate-future technologies.

Hawk-Strikeᴿ: a multi-mission C5ISR solution. It boasts a rich feature set – containing computer, video, and network capabilities – in an extreme small form factor embedded package, providing an economy of capability within a superior SWaP-C optimization effort.

COMPUTING SPOTLIGHT: North Atlantic Industries is a world-leading independent supplier of rugged COTS embedded computing products for the aerospace and defense markets. NAI has developed a family of highly configurable rugged COTS systems that require high density I/O, communications, Ethernet switching and processing for mission critical tasks. Their simplified modular approach if the Configurable Open Systems Architecture® enables them to use the same building blocks across multiple platforms and programs, making it possible for customers to develop semi-custom solutions quickly without NRE.

NIU2A.png

NIU2A-DCU-01

This year, we’re showing three new configurations in their MOSA system solutions. Learn more here:

NIU2A-DCU-01 : a Modular Open Systems Approach (MOSA) Data Concentrator Unit with low power high performance ARM Cortex -A9 processing. It comes with 512 MB RAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet and optional Fiber Optic Ethernet support. It supports fully remote operation over Ethernet or OS support includes PetaLinux and Wind River VxWorks.

NIU31-DCU-01: a MOSA Data Concentrator with low power high performance ARM Cortex -A53 pPicture4.pngrocessing. It comes with 8 GB RAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet. It’s Software Support Kit libraries and source code are supplied at no cost.

NIU3A-AIC-01: a MOSA Aircraft Interface Computer with low power high performance ARM Cortex -A53 processing. 8 GB RAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet.

Picture5.pngCAMERA SPOTLIGHT: COSTAR HD designs and manufacturers reliable and rugged HD surveillance camera systems for critical infrastructure, border security, and military operations. We’re bringing the RISE 4260HD Series Outdoor Camera Positioning System with 1080p image quality operable during hurricane-force winds ideal for base and Naval shipboard applications.

COMPUTING AND DISPLAY SPOTLIGHT: EIZO is a rugged solutions manufacturer of MIL-STD LCD monitors, box-level video hardware, and embedded OpenVPX and XMC video graphics/GPGPU/AI-processing solutions. This year, we’re displaying:

Picture6.pngThe Condor GR5-RTX5000:An OpenVPX 3U form factor video graphics and GPGPU processing card designed with the NVIDIA Turing RTX 5000 GPU and four rear video outputs supporting DisplayPort and Single-Link DVI-D.

The Condor GR4-RTX3000: A 3U VPX Graphics & Video Capture Card with 3G-SDI / DisplayPort Outputs. This one device handles data and image processing from up to four sensors to perform activities such as image enhancement, image analysis, video stitching, remote sensing, target acquisition, object detection, sensor fusion, and other processing tasks.

The Tyton VS2X: a powerful stand-alone rugged H.265 (HEVC) / H.264 video/audio encoding and streaming solution that is designed to serve video transmission needs in harsh field environments.

COMPUTING SPOTLIGHT: Diamond Systems is a Silicon Valley-based corporations that has been providing rugged, I/O-rich embedded computing solutions to companies in a broad range of markets since 1989. They serve customers in transportation, energy, aerospace, defense, manufacturing, medical and research.

We’re bringing three product lines from Diamond Systems, which include:

A wide range of NVIDIA Jetson Integrated Carrier Boards such as the STEVIE (for Xavier AGX) and FLOYD-SC (for the Nano/TX2 NX/Xavier NX).

Picture7.jpgRugged Ethernet Switches with latching I/O connectors and a thicker PCB which provides better protection against vibration in vehicular applications. The wide -40℃ to +85℃ operating range makes Diamond switches ideal for any outdoor or vehicular environment.

SABRE Rugged computer systems and ethernet switches that feature IP67 and MIL-STD-810G compatibility for harsh environments. This system architecture supports quick and low-cost customization with the addition of PC/104 and PCIe MiniCard I/O modules.

RGB Spectrum QuadView UHDx KVM MultiviewerDISPLAY SPOTLIGHT: RGB Spectrum is a San Francisco based company that designs highly customizable audio and video processing solutions for customers worldwide. They offer innovative products including video wall processors, encoders, decoders and other integrated hardware and software solutions for control room management. This year, we’re bringing with us the QuadView UHDx 4K 60Hz Multiviewer which allows the user to display and control up to 4 sources simultaneously in a variety of customizable layouts.

At CANSEC 2022, you’ll get the opportunity to network with us, key prime contractors, supply chain representatives, and keynote speakers who are top defense and security experts.

Watch a line of presentations of these new products from our suppliers at booth #1005. We can’t wait to meet you! Reserve your spot today.

CANSEC 2022

Rugged AI Embedded Edge Computing for Mission-Critical Applications

Rugged AI Embedded 1Rugged AI Embedded Edge Computing

Leveraging Artificial Intelligence (AI) and Deep Learning (DL) / Machine Learning (ML), enabled by advanced computing systems holds the promise of delivering powerful options for mission-critical data processing and reducing the associated workloads placed on the soldier.

Systel’s most recent rugged AI edge computing hardware solution is Kite-Strike™, a next-generation embedded edge supercomputer offering workstation performance in an embedded size, weight, and power (SWaP)-optimized system. Kite-Strike™ supports force-protection high resolution sensor systems, with significant AI-enabling capabilities to help shift the workload from soldier to sensor.

For more information

Contact Us

Rugged AI Embedded Edge Computing

Matrox Deep learning and its role in machine vision

A leader in the machine vision industry, Matrox® Imaging leverages our vision expertise to apply deep learning technology when and where most appropriate and help our customers find the best solution for their applications.Matrox Deep learningArtificial intelligence, specifically machine learning by way of deep learning, is making machine vision technology for automated visual inspection more accessible and capable. Deep learning technology mimics how the human brain processes visual input but performs this task with the speed and robustness of a computerized system. The technology works to ensure quality in manufacturing industries, controlling production costs and enhancing customer satisfaction.Deep learning technology excels at certain applications, such as identification and defect detection, specifically in instances where there are complex and varying imaging conditions. The technology still benefits from conventional image processing and analysis to locate regions of interest within images to speed up the overall process and make it even more robust.

Real-world examples

Identification

Identification

Image classification using deep learning categorizes images or image regions to distinguish between similarly looking objects including those with subtle imperfections. Image classification can, for example, determine if the lips of glass bottles are safe or not.

example_defect_detection_0.jpg

Defect detection

Image segmentation using deep learning categorizes image neighborhoods to pinpoint features like defects, such as dents and scratches on sheet metal. The located features can then be further analysed and measured using traditional machine vision tools.

Deep learning software and hardware

Matrox Imaging’s software offerings—Matrox Imaging Library (MIL) X and Matrox Design Assistant® X—include vision tools to classify or segment images for inspection using deep learning. Both software packages deliver optimized convolutional neural networks (CNNs) or models for the task.

Key to deep learning is the training of a neural network model. MIL CoPilot’s interactive environment provides the platform for training these models for use in machine vision applications. MIL CoPilot delivers all the functionality needed for this task, so you can create and label the training image dataset; augment the image dataset, if necessary; and train, analyze, and test the neural network model.
copilot_diagram_1920.png

e also offer hardware products that facilitate deep learning training and deployment. A suitably equipped and configured model of the Matrox 4Sight XV6 industrial computer comes ready for deep learning training. Another Matrox 4Sight XV6 model as well as the Matrox 4Sight EV6  vision controller and Matrox Iris GTX smart cameras are available to run both traditional machine vision workloads as well as deep learning inference.

Matrox Imaging’s team of vision experts know where and when to leverage machine and deep learning technologies to your best advantage. Our specialists can help identify your needs and find a customized vision solution for your requirements.

Deep learning Artificial intelligence

 

JAI Go-X Series : Compact, attractively-priced area scan cameras with industrial grade reliability

The JAI Go-X Series offers compact, attractively-priced industrial area scan cameras with a blend of features, image quality and industrial grade reliability that is in high demand for the next generation of machine vision systems.

The JAI Go-X Serie incorporates the most popular Sony Pregius CMOS sensors with resolutions ranging from 2.3 to 12.3 megapixels and a choice of USB3 Vision or GigE Vision interfaces. Also included are rolling shutter models featuring Sony Starvis CMOS sensors with resolutions of 6.3, 12.2, or 20 megapixels.

With industrial grade shock and vibration ratings (80G/10G) and excellent thermal dissipation, they are designed to keep critical inspection systems running 24/7/365.

Backed by a six-year warranty – the longest in the industry – they are built using JAI’s proven manufacturing process that has delivered field failure rates of less than two cameras per thousand over the last five years.

All cameras include a robust set of capabilities like region-of-interest (ROI), image flipping and mirroring (most models), 8/10/12-bit output, blemish compensation and shading correction – plus, advanced features like two different sequencer modes and an intelligent, user-customizable auto-exposure function (ALC).

Also available is a collection of compact C-mount lenses which have been pre-qualified for the Go-X Series sensor formats, pixel sizes, and other specifications to ensure a complete, high quality imaging solution.

  • Resolutions from 2.3 to 20 megapixels (Bayer color and monochrome models).
  • Equipped with Sony Pregius or Sony Starvis CMOS sensors.
  • Industrial grade shock and vibration ratings (80G/10G), plus excellent thermal dissipation.
  • Prices starting at €289 with a 6-year warranty.
  • Extensive dust prevention measures include cleanroom assembly, and a sealed sensor compartment for dust-free optical path on all models.
  • Three sets of mounting holes with 20, 21, and 12 mm spacing fit most existing designs with no re-tooling.
  • A free SDK plus high-level API lets you easily design for Windows, Linux, or ARM embedded platforms.
  • A compact camera size (29 x 29 x 52 mm) helps to minimize the overall size of the vision system.
JAI Go-X Series

Modular Open Systems Approach (MOSA) Solutions

NAI’s Modular Open Systems Approach (MOSA) solutions provide customers with pre-configured, pre-validated, rugged military embedded solutions that save development time and cost while reducing program risk. These Flexible, Adaptable, Configurable, Modular and Expandable Systems Eliminate custom designs and redesigns by taking advantage of NAI’s Configurable Open Systems Architecture (COSA). NAI’s full suite of MOSA Solutions are ARM® Cortex®-A53 processor-based and are ruggedized to withstand -40° C to +71° C and qualified to MIL-STD-1275D & MIL-STD-704A with 50 ms holdup (VITA 62 power supply); MIL-STD-461F and MIL-STD-810G.

 

SIU32-AIUVARM-01

2x 3U OpenVPX MOSA Actuator Interface Unit

SIU32-AIUVARM-01 is a Modular Open Systems Approach (MOSA) DO-178C & DO-254 Certifiable Actuator Interface Units (AIU) with low power high performance OpenVPX Xilinx UltraScale+ SBC with Quad Core ARM Cortex -A53, 8 GB DDR4 SDRAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet, USB 3.0, FIPS-140-3 Level 3 Cyber Security, and Single Event Upset support.

SIU32-AIUVARM-01

 

  • 2 x MIL-STD-1553 & 12 x Programmable Discrete IO (CM8)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 8 x Programmable RS-232/422/485 Serial Channels (SC3)
  • 2 x AC Excitation References (AC2)
  • 4 x LVDT Measurement Channels (LD2)
  • 4 x ±40 VDC 100 mA Digital to Analog Channels (DA3)
  • 28 VDC Input PSU per VITA 62 (VPX68) with at least 50 ms holdup
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

 

 

SIU34-AIUVARM-01

4x 3U OpenVPX MOSA Actuator Interface Unit

SIU34-AIUVARM-01 is a Modular Open Systems Approach (MOSA) DO-178C & DO-254 Certifiable Actuator Interface Units (AIU) with low power high performance OpenVPX Xilinx UltraScale+ SBC with Quad Core ARM Cortex -A53, 8 GB DDR4 SDRAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet, USB 3.0, FIPS-140-3 Level 3 Cyber Security, and Single Event Upset support.

SIU34-AIUVARM-01

  • 2 x MIL-STD-1553 & 12 x Programmable Discrete IO (CM8)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 8 x Programmable RS-232/422/485 Serial Channels (SC3)
  • 2 x AC Excitation References (AC2)
  • 4 x LVDT Measurement Channels (LD2)
  • 4 x ±40 VDC 100 mA Digital to Analog Channels (DA3)
  • 24 x ARINC-429/575 Channels (2 x AR1)
  • 16 x Programmable RTD or Thermocouple measurement (2 x TR1)
  • 16 x Variable Reluctance/Pulse Counter Measurement Channels (VR1)
  • 28 VDC Input PSU per VITA 62 (VPX68) with at least 50 ms holdup.
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU32-DCUVARM-01

2x 3U OpenVPX MOSA Data Concentrator Unit

SIU32-DCUVARM-01 is a Modular Open Systems Approach (MOSA) DO-178C & DO-254 Certifiable Data Concentrator Unit (DCU) with low power high performance OpenVPX Xilinx UltraScale+ SBC with Quad Core ARM Cortex -A53, 8 GB DDR4 SDRAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet, USB 3.0, FIPS-140-3 Level 3 Cyber Security, and Single Event Upset support.

SIU32-DCUVARM-01

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x Programmable RS-232/422/485 Serial Channels (SC3)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 8 x Variable Reluctance/Pulse Counter Measurement Channels (VR1)
  • 6 x Chip Detect and Fuzz Burn Channels (CD1)
  • 4 x Strain Gage Measurement (SG1)
  • 28 VDC Input PSU per VITA 62 (VPX68) with at least 50 ms holdup
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU34-DCUVARM-01

6x 3U OpenVPX MOSA Data Concentrator Unit

SIU36-DCUVARM-01 is a Modular Open Systems Approach (MOSA) DO-178C & DO-254 Certifiable Data Concentrator Unit (DCU) with low power high performance OpenVPX Xilinx UltraScale+ SBC with Quad Core ARM Cortex -A53, 8 GB DDR4 SDRAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet, USB 3.0, FIPS-140-3 Level 3 Cyber Security, and Single Event Upset support.

 

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 8 x RS-232/422/485 Serial Channels (SC3)
  • 2 x AC Excitation References (AC2)
  • 4 x LVDT Measurement Channels (LD2)
  • 8 x ±40 VDC 100 mA Digital to Analog Channels (DA3)
  • 8 x Variable Reluctance/Pulse Counter Measurement Channels (VR1)
  • 6 x Chip Detect and Fuzz Burn Channels (CD1)
  • 4 x Strain Gage Measurement (SG1)
  • 12 x ±10 VDC or ±25 mA D/A Outputs (DA1)
  • 16 x Enhanced Differential Discrete I/O Channels (DF2)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 16 x Programmable RTD or Thermocouple measurement (2 x TR1)
  • 12 x ±10 VDC or ±25 mA D/A Outputs (DA1)
  • 48 x Discrete Input Channels and 48 Programmable Discrete I/O Channels (68DT1)
  • 28 VDC Input PSU per VITA 62 (VPX68) with at least 50 ms holdup
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU32-FCCVARM-01

2x 3U OpenVPX MOSA Flight Control Computer

SIU32-FCCVARM-01

  • 8 x ARINC-429 Tx/Rx & 12 Programmable Discrete IO (CM2)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 8 x Programmable RS-232/422/485 Serial Channels (SC3)
  • 2 x AC Excitation References (AC2)
  • 4 x LVDT Measurement Channels (LD2)
  • 4 x ±40 VDC 100 mA Digital to Analog Channels (DA3)
  • 28 VDC Input PSU per VITA 62 (VPX68) with at least 50 ms holdup
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU34-FCCVARM-01

4x 3U OpenVPX MOSA Flight Control Computer

SIU34-FCCVARM-01

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x Programmable RS-232/422/485 Serial Channels (SC3)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 4 x AC Excitation References (2 x AC2)
  • 4 x LVDT Measurement Channels (LD2)
  • 4 x Synchro/Resolver Measurement Channels (SD2)
  • 8 x ±40 VDC 100 mA Digital to Analog Channels (DA3)
  • 24 x Enhanced Programmable Discrete I/O Channels (DT4)
  • 16 x Enhanced Differential Discrete I/O Channels (DF1)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 28 VDC Input PSU per VITA 62 (VPX68) with at least 50 ms holdup.
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU32-MCVARM-01

2x 3U OpenVPX MOSA Mission Computer

SIU32-MCVARM-01 is a Modular Open Systems Approach (MOSA) DO-178C & DO-254 Certifiable Mission Computers (MC) with low power high performance OpenVPX Xilinx UltraScale+ SBC with Quad Core ARM Cortex -A53, 8 GB DDR4 SDRAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet, USB 3.0, FIPS-140-3 Level 3 Cyber Security, and Single Event Upset support.

SIU32-AIUVARM-01

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x RS-232/422/485 Serial Channels (SC3)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 24 x Enhanced Programmable Discrete I/O Channels (DT4)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 12 x ±10 VDC or ±25 mA D/A Outputs (DA1)
  • 28 VDC Input PSU per VITA 62 (VPX68). Optional 50 ms holdup.
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

 

https://integrys.com/product/north-atlantic-siu32-mcvarm-01-mission-computers-mc/

SIU34-MCVARM-01

4x 3U OpenVPX MOSA Mission Computer

SIU34-MCVARM-01 is a Modular Open Systems Approach (MOSA) DO-178C & DO-254 Certifiable Mission Computers (MC) with low power high performance OpenVPX Xilinx UltraScale+ SBC with Quad Core ARM Cortex -A53, 8 GB DDR4 SDRAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet, USB 3.0, FIPS-140-3 Level 3 Cyber Security, and Single Event Upset support.

SIU34-FCCVARM-01

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x RS-232/422/485 Serial Channels (SC3)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 24 x Enhanced Programmable Discrete I/O Channels (DT4)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 12 x ±10 VDC or ±25 mA D/A Outputs (DA1)
  • 16 x 10/100/100 Base-T Ethernet Switch (ES2)
  • 48 x Discrete Input Channels and 48 Programmable Discrete I/O Channels (68DT1)
  • 28 VDC Input PSU per VITA 62 (VPX68) with Optional 50 ms holdup.
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU36-MCVARM-01

6x 3U OpenVPX MOSA Mission Computer

SIU36-MCVARM-01 is a Modular Open Systems Approach (MOSA) DO-178C & DO-254 Certifiable Mission Computers (MC) with low power high performance OpenVPX Xilinx UltraScale+ SBC with Quad Core ARM Cortex -A53, 8 GB DDR4 SDRAM, 32 GB SATA Flash, 2 x 10/100/1000Base-T Ethernet, USB 3.0, FIPS-140-3 Level 3 Cyber Security, and Single Event Upset support.

SIU36-MCVARM-01

 

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x RS-232/422/485 Serial Channels (SC3)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 4 x MIL-STD-1553/1760 (2 x FTJ)
  • 4 x Non-Latching Relay (RY1)
  • 24 x Enhanced Programmable Discrete I/O Channels (DT4)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 12 x ±10 VDC or ±25 mA D/A Outputs (DA1)
  • 12 x ±1.25 to ±10.0 A/D Channels (AD1)
  • 12 x ±100V A/D Channels (AD2)
  • 16 x ±1.25 to ±10.0 VDC A/D Channels (AD4)
  • 16 x 10/100/100 Base-T Ethernet Switch (ES2)
  • 48 x Discrete Input Channels and 48 Programmable Discrete I/O Channels (68DT1)
  • 28 VDC Input PSU per VITA 62 (VPX68) Optional 50 ms holdup.
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU34-RIUVARM-01

4x 3U OpenVPX MOSA Remote Interface Unit

SIU34-RIUVARM-01 is a Modular Open Systems Approach (MOSA) Remote Interface Unit (RUI) to manage, monitor and control connected I/O, communications, measurement and simulation interfaces through Ethernet commands from a main mission processors. Extremely low power with 2 x 10/100/1000Base-T Ethernet.

Conduction-Cooled_SIU34 (3).png

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x RS-232/422/485 Serial Channels (SC3)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 8 x Programmable RTD or Thermocouple measurement (TR1)
  • 8 x ±40 VDC 100 mA Digital to Analog Channels (DA3)
  • 2 x AC Reference Excitation (AC2)
  • 4 x Strain Gage Measurement (SG1)
  • 8 x Variable Reluctance/Pulse Counter Measurement Channels (VR1)
  • 48 x Discrete Input Channels and 48 Programmable Discrete I/O Channels (68DT1)
  • 28 VDC MIL-STD-704 Aircraft Electrical Power Characteristics with at least 50 ms holdup.
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

SIU36-RIUVARM-01

6x 3U OpenVPX MOSA Remote Interface Unit

SIU36-RIUVARM-01 is a Modular Open Systems Approach (MOSA) Remote Interface Unit (RIU) to manage, monitor and control connected I/O, communications, measurement and simulation interfaces through Ethernet commands from a main mission processors. Extremely low power with 2 x 10/100/1000Base-T Ethernet.

SIU36-MCVARM-01

  • 2 x MIL-STD-1553 & 8 x ARINC-429 Tx/Rx (CM5)
  • 8 x RS-232/422/485 Serial Channels (SC3)
  • 8 x CANBus A/B 2.0/CAN-FD/ARINC-825 (CB8)
  • 8 x Programmable RTD or Thermocouple measurement (TR1)
  • 16 x ±100 VDC A/D Channels (ADF)
  • 8 x ±40 VDC 100 mA Digital to Analog Channels (DA3)
  • 2 x AC Reference Excitation (AC2)
  • 4 x Strain Gage Measurement (SG1)
  • 8 x Variable Reluctance/Pulse Counter Measurement Channels (VR1)
  • 16 x 10/100/100 Base-T Ethernet Switch (ES2)
  • 48 x Discrete Input Channels and 48 Programmable Discrete I/O Channels (68DT1)
  • 28 VDC MIL-STD-704 Aircraft Electrical Power Characteristics with at least 50 ms holdup.
  • MIL-STD-810G, MIL-STD-461F and DO-160 environmental and EMI/EMC qualifications.

Matrox Design Assistant X Color Analysis

Digital cameras with color image sensors are now commonplace. The same is true for the computing power and device interfaces necessary to handle the additional data from color images. What’s more, as users become familiar and comfortable with machine vision technology, they seek to tackle more difficult or previously unsolvable applications. These circumstances combine to make color machine vision an area of mounting interest. Color machine vision poses unique challenges, but it also brings some unique capabilities for manufacturing control and inspection.

Matrox Design Assistant X

The color challenge

Color is the manifestation of light from the visible part of the electromagnetic spectrum. It is perceived by an observer and is therefore subjective – two people may discern a different color from the same object in the same scene. This difference in interpretation also extends to camera systems with their lenses and image sensors. A camera system’s response to color varies not only between different makes and models for its components but also between components of the same make and model. Scene illumination adds further uncertainty by altering a color’s appearance. These subtleties come about from the fact that light emanates with its own color spectrum. Each object in a scene absorbs and reflects (i.e., filters) this spectrum differently and the camera system responds to (i.e., accepts and rejects) the reflected spectrum in its own way. The challenge for color machine vision is to deliver consistent analysis throughout a system’s operation – and between systems performing the same task – while also imitating a human’s ability to discern and interpret colors.

The majority of today’s machine vision systems successfully restrict themselves to grayscale image analysis. In certain instances, however, it is unreliable or even impossible to just depend upon intensity and/or geometric (i.e., shape) information. In these cases, the flexibility of color machine vision software is needed to:

  •  optimally convert an image from color to monochrome for proper analysis using grayscale machine vision software tools
  •  calculate the color difference to identify anomalies
  •  compare the color within a region in an image against color samples to assess if an acceptable match exists or to determine the best match
  •  segment an image based on color to separate object or features from one another and from the background

Color images contain a greater amount of data to process (i.e., typically three times more) than grayscale images and require more intricate handling. Efficient and optimized algorithms are needed to analyze these images in a reasonable amount of time. This is where Matrox Design Assistant X color analysis tools come to the fore.

Matrox Design Assistant X color analysis steps

 

Matrox Design Assistant X

 

 

 

Matrox Design Assistant X includes a set of tools to identify parts, products, and items using color, assess quality from color, and isolate features using color.

 

 

 

 

 


The ColorMatcher step determines the best matching color from a collection of samples for each region of interest within an image. A color sample can be specified either interactively from an image—with the ability to mask out undesired colors—or using numerical values. A color sample can be a single color or a distribution of colors (i.e., a histogram). The color matching method and the interpretation of color differences can be manually adjusted to suit particular application requirements. The ColorMatcher step can also match each image pixel to color samples to segment the image into appropriate elements for further analysis using other steps such as BlobAnalysis.

Color Matcher step

                                              Color Matcher step

The ImageProcessing step includes operations to calculate the color distance and perform color projection. The distance operation reveals the extent of color differences within and between images, while the projection operation enhances color to grayscale image conversion for analysis using other grayscale processing steps.

The color analysis tools included in the Matrox Design Assistant X interactive development environment (and the Matrox Imaging Library (MIL) software development kit) offer the accuracy, robustness, flexibility, and speed to tackle color applications with confidence. The color tools are complemented with a comprehensive set of field‐proven grayscale analysis tools (i.e., pattern recognition, blob analysis, gauging and measurement, ID mark reading, OCR, etc.). Moreover, application development is backed by the Matrox Imaging Vision Squad, a team dedicated to helping developers and integrators with application feasibility, best strategy and even prototyping.

Assistant X

New SOSA™ Aligned, VITA 62, 6U VPX AC/DC Power Supply Unit

New SOSA™ Aligned, VITA 62, 6U VPX AC/DC Power Supply Unit

Rugged, off-the-shelf power supply solution ready to roll

In April, North Atlantic Industries, Inc. (NAI), a leading supplier of embedded computing solutions and power supplies that Integrys is proud to represent in Canada, announced the availability of the VPX56H2-6 1,400-Watt Ruggedized, Programmable Power Supply.

SOSA™ Aligned

The VPX56H2-6 power supply unit is aligned with SOSA™, the main aim of which is to speed up and simplify the development and deployment of C4ISR systems (joint battle management that can gather data, understand it, and communicate freely with all of its components) based on open standards components. SOSA aligned systems are based on a multi-purpose backplane that allows for easy reconfiguration of the VPX Plug In Cards (PICs) to create Electronic Warfare, Signal Intelligence, RADAR or other sensor-based systems. Enabling future technology upgrades and reconfiguration are two key benefits of SOSA aligned solutions that will reduce the cost and extend the useful life of these platforms.

Adaptable workhorse for when the going gets heavy

Designed to meet the many harsh environmental requirements of rugged military and aerospace applications, NAI’s VPX56H2-6 plugs directly into a standard 6U VPX chassis with a VITA 62, 1.0” power supply slot. This off-the-shelf solution for VITA 46.0 and VITA 65 systems is:

  • Compatible with VPX specifications
  • Supports all VITA standard I/O, signals, and features
  • Conforms to the VITA 62 mechanical and electrical requirements for modular power supplies

The VPX56H2-6 is conduction-cooled through the card edge/wedgelock. It operates at full load through the entire -40°C to +85°C temperature range, accepts 3Ø AC or +270 VDC input and provides up to five outputs and I/O at up to 1,400 Watts.

Output configurations include Standard VITA 62 and SOSA™ Aligned, +12V Only (with +3.3VDC_Aux) and +12V Heavy configurations. In addition, the VPX56H2 contains Integrated IPMC, with Dual Bus IPMB-A, IPMB-B.

With its intelligent design, the VPX56H2-6 also has the flexibility to address special needs and includes current share and alignment keys for input and output configurations.

The VPX56H2 is compliant with MIL-STD-810H and VITA47 as well as MIL-STD-704F, MIL-STD-461F.

Additional standard features

  • Continuous Background Built-in-Test (BIT)
  • Remote error sensing and protection against transients
  • Over-voltage, over-current, and short circuits

Security

“We are delighted to be teaming with wolfSSL to offer embedded security in our growing portfolio of rugged COTS SBC’s,” says Lino Massafra, VP of Sales and Marketing at NAI. “North Atlantic Industries takes security seriously and is working hard to protect our solutions against cyber threats. Aligning with wolfSSL helps achieve this.”

About NAI

NAI is a leading independent supplier of embedded computing, Input/Output, communications, measurement, simulation, power and systems products for commercial, industrial and military applications built on a Configurable Open Systems Architecture™ (COSA®). COSA offers the greatest modularity, flexibility, adaptability and configurability in the industry that accelerates time-to-mission. COSA supports a Modular Open Systems Approach (MOSA) that delivers the best of both worlds: custom solutions from COTS components with No NRE.

For over 50 years, companies like Lockheed Martin, Boeing, Northrop Grumman and Raytheon have leveraged NAI’s capabilities to meet the demanding requirements of a wide range of processing, I/O and communication-centric applications, and do so with uncompromising quality, efficiency and responsiveness.

Learn More

For additional information on NAI’s latest power supply unit for rugged military and aerospace applications, click here. We look forward to discussing your power supply requirements with you.

 

The Use of Artificial Intelligence in Machine Vision

The use of artificial intelligence (specifically, machine learning by way of deep learning) in machine vision is an incredibly powerful technology with an impressive range of practical applications, including:

  • Giving virtual assistants the ability to process natural language;
  • Enhancing the e-commerce experience through recommendation engines;
  • Assisting medical practitioners with computer-aided diagnoses; and
  • Performing predictive maintenance in the aerospace industry.

Deep learning technology is also fundamental to the fourth industrial revolution, the ongoing automation of traditional manufacturing and industrial processes with smart technology, a movement in which machine vision has much to contribute.

Deep learning alone, however, cannot tackle all types of machine vision tasks, and requires careful preparation and upkeep to be truly effective. In this article we look at how machine vision—the automated computerized process of acquiring and analyzing digital images primarily for ensuring quality, tracking and guiding production—benefits from deep learning as the latter is making the former more accessible and capable.

Machine vision and deep learning: The challenges

Machine vision deals with identification, inspection, guidance and measurement tasks commonly encountered in the manufacturing and processing of consumer and industrial goods. Conventional machine vision software addresses these tasks with specific algorithm and heuristic-based methods, which often require specialized knowledge, skill and experience to be implemented properly. Moreover, these methods or tools sometimes fall short in terms of their ability to handle and adapt to complex and varying conditions. Deep learning is of great help but requires a painstaking training process based on previously collected sample data to produce results generally required in industry. Furthermore, more training is occasionally needed to account for unforeseen situations that can adversely affect production. It is important to appreciate that deep learning is primarily employed to classify data and not all machine learning tasks lend themselves to this approach.

Where deep learning does and does not excel

As noted, deep learning is the process through which data—such as images or their constituent pixels—are sorted into two or more categories. Deep learning is particularly well suited to recognizing objects or objects traits, such as identifying that widget A is different from widget B The technology is also especially good at detecting defects, whether the presence of a blemish or foreign substance, or the absence of a critical component in or on a widget that is being assembled. It also comes in handy for recognizing text characters and symbols such as expiry dates and lot codes.

While deep learning excels in complex and variable situations such as finding irregularities in non-uniform or textured image backgrounds or within an image of a widget whose presentation changes in a normal and acceptable manner, deep learning alone cannot locate patterns with an extreme degree of positional accuracy and position. Analysis using deep learning is a probability based process and is, therefore, not practical or even suitable for jobs that require exactitude. High-accuracy, high-precision measurement is still very much the domain of traditional machine vision software. The decoding of barcodes and two-dimensional symbologies, which is inherently based on specific algorithms, is also not an area appropriate for deep learning technology.

Artificial Intelligence

Where deep learning excels: Identification (left), detect defection (middle) and OCR (right)

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Where deep learning does not excel: High-accuracy, high-precision pattern matching (left), metrology (middle), and code reading (right)

Matrox Imaging software

Matrox Imaging offers two established software development packages that include classic machine vision tools as well as image classification tools based on deep learning. Matrox Imaging Library (MIL) X is a software development kit for creating applications by writing program code. Matrox Assistant X is an integrated development environment where applications are created by constructing and configuring flowcharts (see graphic below). Both software packages include image classification models that are trained using the MIL CoPilot interactive environment, which also has the ability to generate program code. Users of either software development packaged get full access to the Matrox Vision Academy online portal, offering a collection of video tutorials on using the software, including image classification, that are viewable on demand. Users can also opt for Matrox Professional Services to access application engineers as well as machine vision and machine learning experts for application-specific assistance.

 

What is Deep Learning?

Deep Learning

Answering the question “What is deep learning?” requires us to stick our heads down a rabbit hole. We say this because deep learning is a type of machine learning—which, in turn, is a type of artificial intelligence (AI). You now get the reference to the rabbit hole . . . Time now for some definitions to provide clarity.

Artificial intelligence: The simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind, such as learning and problem-solving.

Machine learning: The use and development of computer systems (hardware and software) that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.

Deep learning: A subset of machine learning based on artificial neural networks in which multiple layers of processing are used to extract progressively higher level features from data.

What distinguishes deep learning is that it empowers  machines to learn from unstructured, unlabeled data, as well as labeled and categorized data. With all the rapid developments in deep learning, a lot of new applications  for machine vision have been introduced.  Time now for another definition:

Machine vision: The technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry. Machine vision refers to many technologies, software and hardware products, integrated systems, actions, methods and expertise. A machine vision system uses a camera to view an image. Computer vision algorithms then process and interpret the image, before instructing other components in the system to act upon that data. Computer vision can be used alone, without needing to be part of a larger machine system.

GPUs for computer vision applications

Many technology companies have discovered the benefit of using GPUs (Graphical Processer Units) for computer vision applications due to their ability to handle the rapid parallel processing of images. Traditional GPUs from companies like NVIDIA are large, power-hungry PCIe boards running in the cloud or temperature-conditioned environments.   So how do industrial companies take advantage of GPU technology in the field, or what’s often called ‘the edge’?

NVIDIA Jetson

Introducing NVIDIA Jetson, the world’s leading small-footprint GPU platform for running AI in harsh environments at the edge of the action.  Its high-performance, low-power computing for deep learning and computer vision makes it the ideal platform for compute-intensive projects in the field. Some of Integrys’ most valued partners provide nimble solutions in this space. But before we look at these companies and their products, it’s advisable to ask, and answer, the question below.

What’s the difference between carriers and Jetson modules?

A carrier board is specifically designed to work with one of the NVIDIA Jetson modules allowing users to connect IO, cameras, power, etc., to their devices.  Together with JetPack SDK, the combination of the carrier and module is used to develop and test software for specific use needs.

Our Deep Learning Partners

DIAMOND SYSTEMS
Stevie: Carrier for Nvidia Jetson AGX Xavier. Used in PPE and temperature monitoring, robotics, deep learning, and smart intersections/ traffic control.

 

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Featured product: JETBOX-STEVIE JETSON AGX XAVIER SYSTEM

Floyd: Carrier for Nvidia Jetson Nano & Xavier NX. Used in industrial safety, drone video surveillance and facial recognition.

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Featured product: JETBOX-FLOYD JETSON NANO / NX SYSTEM

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Sentry-X Rugged Embedded System: Built for the NVIDIA® Jetson AGX Xavier™, Sentry-X is ideal for aerospace and defense applications, or for any market that can benefit from the Jetson AGX Xavier’s incredible performance in a rugged enclosure.

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Featured product: SENTRY-X RUGGED EMBEDDED SYSTEM POWERED BY NVIDIA® JETSON AGX XAVIER™

Rogue: a full featured carrier board for the NVIDIA® Jetson™ AGX Xavier™ module, the Rogue is specifically designed for commercially deployable platforms, and has an extremely small footprint of 92mm x 105mm.

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Featured product: ROGUE CARRIER FOR NVIDIA® JETSON™ AGX XAVIER™

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Leveraging convolutional neural network (CNN) technology, the Matrox classification tool within their Computer Vision library, MIL (Matrox Imaging Library) categorizes images of highly textured, naturally varying, and acceptably deformed goods. The inference is performed exclusively by Matrox Imaging-written code on a mainstream CPU, eliminating the dependence on third-party neural network libraries and the need for specialized GPU hardware.

 

 

 

 

 

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Featured product: MATROX IMAGING LIBRARY X

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The Condor product line of GPGPU and video capture cards feature NVIDIA Quadro® GPUs with Pascal™ and Turing™ architecture. These processing powerhouses leverage the latest GPGPU advancements from NVIDIA for machine-learning and artificial intelligence applications, as well as standard rendering pipelines.

 

 

 

 

 

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Featured product: CONDOR 4107XX XMC XMC GRAPHICS & GPGPU CARD

FREE

OFFER

We have a NVIDIA Jetson AGX Xavier AI-at-the-edge computing platform (diamondsystems.com) Jetbox-Stevie from Diamond in our DEMO Lab. I would like to promote it and offer a “FREE” Demo by filling a form

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Deep Learning

3 Ways to Kickstart your 3D Machine Vision Project

3D machine vision

In a 3D machine vision system, the target object image is no longer just a flat picture. Now it’s a three-dimensional point cloud of precise coordinates where the position of every pixel in space is known. It simultaneously provides X, Y and Z plane data along with respective rotational information (around each of the axes) as well.

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This 3rd dimension of Data is ideal for applications such as:

  • Thickness, height and volume measurement
  • Dimensioning and space management
  • Measuring shapes, holes, angles, and curves
  • Detection of surface or assembly defects
  • Quality control and verification against 3D CAD models
  • Robot guidance and surface tracking (e.g., for welding, gluing, deburring, and more)
  • Bin picking for placing, packing or assembly
  • Object scanning and digitization

Download an e-book

Download our latest eBook, Solving Pick and Place Automation Challenges with industrial 3D machine vision, for free. This eBook includes 6 industrial automation challenges and how to solve them with 3D machine vision solutions.

Download an e-book

Book an online demo

Schedule a free 3D camera demo with our vision engineers! Let us show you a quick demo of what you can expect from Zivid 3D machine vision cameras tailored to meet your specific business requirements.

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Purchase a development kit

Now, you can buy a Zivid developer kit bundle to kickstart your 3D vision automation project. Whether it’s bin-picking, piece picking, or machine tending related – the dev kit bundle makes it easy to design stationary or on-arm robot-based picking cells.

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3D machine vision