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Industrial Applications for Embedded Vision

Computer vision processing-based products are established in a number of industrial applications

Computer vision processing-based products have established themselves in a number of industrial applications, with the most prominent one being factory automation (where the application is commonly referred to as machine vision). Primary factory automation sectors include:

  • Automotive — motor vehicle and related component manufacturing
  • Chemical & Pharmaceutical — chemical and pharmaceutical manufacturing plants and related industries
  • Packaging — packaging machinery, packaging manufacturers and dedicated packaging companies not aligned to any one industry
  • Robotics — guidance of robots and robotic machines
  • Semiconductors & Electronics — semiconductor machinery makers, semiconductor device manufacturers, electronic equipment manufacturing and assembly facilities

What are the primary embedded vision products used in factory automation applications?

The primary embedded vision products used in factory automation applications are:

  • Smart Sensors — A single unit that is designed to perform a single machine vision task. Smart sensors require little or no configuring and have limited on-board processing. Frequently a lens and lighting are also incorporated into the unit.
  • Smart Cameras — This is a single unit that incorporates a machine vision camera, a processor and I/O in a compact enclosure. Smart cameras are configurable and so can be used for a number of different applications. Most have the facility to change lenses and are also available with built-in LED lighting.
  • Compact Vision System — This is a complete machine vision system, not based on a PC, consisting of one or more cameras and a processor module. Some products have an LCD screen incorporated as part of the processor module. This obviates the need to connect the devices to a monitor for set-up. The principal feature that distinguishes compact vision systems (CVS) from smart cameras is their ability to take information from a number of cameras. This can be more cost-effective where an application requires multiple images.
  • Machine Vision Cameras (MV Cameras) — These are devices that convert an optical image into an analogue or digital signal. This may be stored in random access memory, but not processed, within the device.
  • Frame Grabbers — This is a device (usually a PCB card) for interfacing the video output from a camera with a PC or other control device. Frame grabbers are sometimes called video-capture boards or cards. They vary from being a simple interface to a more complex device that can handle many functions including triggering, exposure rates, shutter speeds and complex signal processing.
  • Machine Vision Lighting — This refers to any device that is used to light a scene being viewed by a machine-vision camera or sensor. This report considers only those devices that are designed and marketed for use in machine-vision applications in an industrial automation environment.
  • Machine Vision Lenses — This category includes all lenses used in a machine-vision application, whether sold with a camera or as a spare or additional part.
  • Machine Vision Software — This category includes all software that is sold as a product in its own right, and is designed specifically for machine-vision applications. It is split into:
    • Library Software — allows users to develop their own MV system architecture. There are many different types, some offering great flexibility. They are often called SDKs (Software Development Kits).
    • System Software — which is designed for a particular application. Some are very comprehensive and require little or no set-up.

Embedded Vision System with Miniature Footprint for OEM Projects

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IP67-rated FPD-Link III Cameras for Embedded Vision

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Basler Announces Flexible Processing Board for Vision Applications

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Khronos and EMVA Collaborate to Gather Requirements for Embedded Camera and Sensor API Standards

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SPIE Photonics West: Stamp-sized Embedded Vision System

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“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung

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Basler boost: CXP Cameras with 20, 32, and 45 MP Resolution

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“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems

Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. Deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition… “Deep Learning for Manufacturing Inspection:

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Allied Vision and Connect Tech Partner to Streamline Development of AI Vision Systems

Joint software and hardware solutions reduce the overall development time for NVIDIA applications requiring integrated vision sensors Stadtroda, Germany; Guelph, Ontario, Canada; December 16, 2020 – Allied Vision, a Preferred Partner in the NVIDIA Partner Network (NPN) and Connect Tech Inc., an Elite Partner, announced joint development of new hardware solutions with pre-integrated advanced sensor

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“High-Bandwidth Multicamera Systems with PCIe Backbone: Snapshot and Outlook on Technologies and Applications,” a Presentation from XIMEA

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XIMEA Releases New Versions of HyperSpectral Cameras With Imec Sensors

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IDS Makes Artificial Intelligence Available to Factory Automation via OPC UA and Provides Maximum Flexibility with Vision Apps

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Basler Cameras for Android Applications

Thanks to the Basler pylon software, the Basler computer vision portfolio can now also be used for applications on mobile Android systems. Ahrensburg, December 01, 2020 – Basler now offers the pylon software for its ace, ace 2, dart, and pulse cameras for Android systems, enabling developers to explore new mobile applications with professional computer

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New Alvium CSI-2 Cameras Allow Industrial Machine Vision Applications on Embedded Systems

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“How to Create Your Own AI-Enabled Camera Solution in Days,” a Presentation from IDS Imaging Development Systems

Carsten Traupe, Director of Product Management at IDS Imaging Development Systems, presents the “How to Create Your Own AI-Enabled Camera Solution in Days” tutorial at the September 2020 Embedded Vision Summit. Cameras coupled with AI can solve numerous real-world problems. But developing an AI camera solution can be a complex… “How to Create Your Own

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SENSOTEC Becomes New Distributor for Basler Products for Russia

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Basler Presents New 1GigE and 10GigE Interface Cards

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Machine Vision: MVTec Sets New Standards with HALCON 20.11

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New: Ready-to-use Embedded Vision Starterkit from Allied Vision and MVTec

The integrated solution consisting of hardware and software enables quick access to the development of embedded vision applications Stadtroda/Munich, November 2, 2020 – The machine vision experts Allied Vision Technologies GmbH from Stadtroda and MVTec Software GmbH from Munich have combined their industry and application know-how to introduce the new Embedded Vision Starterkit. Designed to

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Connecting Multiple VC MIPI Cameras to NVIDIA Developer Kits

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