The Imaging Source blog

Video: High-Speed Inspection Sorting (REGG Inspection) with USB 3.0 Industrial Cameras

Published on April 19, 2021

Designed for demanding high-speed inspection tasks, REGG Inspection's i600 series uses up to five USB 3 cameras from The Imaging Source to analyze and sort a variety of fasteners.

REGG Inspection designs and manufactures high quality inspection systems using a modular design concept. Based on customer needs, the system uses up to 5 USB 3.0 industrial cameras. (in this case, 5 DMK 33UX252 monochrome cameras) producing 20 images per second. Processing, analysis, reporting and decision-making commands are executed via an industrial computer and PLC using IC Imaging Control SDK and DELPHI-based software. REGG's high-speed systems are used by companies all over the world to ensure production and quality control for a variety of fastener types.

Updates to the TIS Linux Library: Linux for Embedded

Published on April 13, 2021

In use by thousands of professional and volunteer programmers, Linux’s strong and vibrant programming community provides a variety of support resources making it the dominant operating system for embedded developers.

Linux, the highly-stable, open-source operating system, enjoys widespread acceptance among embedded developers because of its low cost, scalability and easy customization. For years, The Imaging Source has continuously maintained and developed its Linux library including the tiscamera SDK for Linux, an open-source project published under the Apache 2.0 license. The latest release for tiscamera SDK includes additions and updates to improve embedded application performance:

  • Supports the integration of the NVIDIA Jetson and Raspberry Pi platforms with The Imaging Source's USB and GigE cameras
  • Supports The Imaging Source's GStreamer element for MIPI-based cameras on Raspberry Pi 4, enabling standardized camera handling
  • General stability and performance improvements

You can find all the changes to the tiscamera SDK in the changelog.

VISION China Shanghai 2021

Published on April 6, 2021

Broad portfolio of industrial cameras on display at VISION China Shanghai 2021

Over 79,000 visitors attended VISION China Shanghai 2021--China's leading trade show for machine vision. The Imaging Source's booth was hosted by reseller Shenzhen SunVision Technology. In addition to a large main island displaying highlights from the entire industrial camera product portfolio, the booth also included a demonstration of The Imaging Source's microscopy cameras (histology specimen) and a live embedded vision demo of a mask-recognition application using The Imaging Source's development kit for NVIDIA Jetson Nano. Many thanks to the SunVision team for their support.

The Imaging Source microscopy camera live demo at VISION China Shanghai 2021

MVTec Innovation Day 2021: Online!

Published on January 18, 2021

On February 3, 2021 from 9:00 AM - 8:00 PM (CET), system developers and decision-makers are invited to join MVTec for their annual Innovation Day. Due to the continuing pandemic, this year's customer event will take place online with the choice between two packages: "Light" Experience and "Full" Experience. Registration for both the "Full" and "Light" Experience will be open until February 2, 2021. Customers residing in the EU who register for the "Full" Experience by January 20 will receive an exclusive catering and giveaway package. Agenda highlights include Deep Learning, OCR, the HALCON Toolbox, Shape-based and Surface-based matching as well as exciting insights from Research@mvtec. MVTec has also developed an event app to help attendees better plan their agendas and connect with other participants.

<strong>MVTec Innovation Day 2021</strong>: Agenda highlights include Deep Learning, OCR, the HALCON Toolbox, Shape-based and Surface-based matching as well as information from Research@mvtec.

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TIS Microscopy Cameras Deliver Images for Digital Pathology

Published on January 14, 2021

For a number of serious blood diseases such as leukemia, multiple myeloma and lymphoma, differential counting of blood cells in bone marrow smears is the diagnostic gold-standard. Currently, these morphological assessments are still performed manually by pathologists and other highly-trained lab personnel and demand a great deal of concentration and precision from the technicians performing them. "Human factors" such as stress, fatigue, distraction, and level of training can make the interpretation of such tests prone to error, or as the scientists themselves call it "inter-operator variation". To improve accuracy and efficiency in diagnostic hematology, aetherAI has developed Microscope x Hema--a complete digital pathology system which uses The Imaging Source's USB 3.0 color microscopy cameras to create digital images which are then processed using Deep Learning techniques.

The Imaging Source USB microscope cameras provide images for <strong>aetherAI's <i>Microscope x Hema</i></strong> system which uses Deep Learning to improve accuracy and speed in the evaluation of bone marrow smears.

Cell Classification via Deep Learning

In order to properly train the system's CNNs, the company worked with the National Taiwan University Hospital to develop the world's first differential-counting AI model for bone marrow smears. The model is trained on a comprehensive image dataset of 500,000 annotated bone marrow samples. Microscope x Hema's embedded solution includes AI-powered microscope control software, AI model for differential counting and dedicated hardware to support AI inferencing. Images made using standard optical microscopes often contain complex backgrounds which can negatively impact efficient cell analysis. The 20 MP DFK 33UX183 microscope cameras' high-sensitivity CMOS sensor delivers low-noise images (high signal-to-noise ratio). The cameras' image pre-processing reduces any residual noise to enhance the edges and contours of the image, highlighting the details and reducing image blur. Microscope x Hema's image algorithms extract features from the images and then set parameters such as shape, contour, irregular fragments, color and texture. The workflow is complete once the system has classified and counted the cells in the sample.

Differentiation and categorization of nucleated bone marrow cells using <strong>aetherAI's <i>Microscope x Hema</i></strong> which analyses images made by <strong>DFK 33UX183</strong> microscope cameras. <i>Image: aetherAI</i>

By easing the burden on healthcare professionals, aetherAI aims to improve the quality of medical diagnostics by "providing solutions for digital pathology and AI-powered diagnostic support." Company founder, Dr. Joe Yeh, stated "the AI revolution will realize the ultimate value of digital medical images and bring healthcare to the next level."

The software's user interface displays the pre-processed image of bone marrow cells, and provides a report on the percentage and number of cell categories. <i>Image: aetherAI</i>

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About The Imaging Source

Established in 1990, The Imaging Source is one of the leading manufacturers of industrial cameras, video converters and embedded vision components for factory automation, quality assurance, medicine, science, security and a variety of other markets.

Our comprehensive range of cameras with USB 3.1, USB 3.0, USB 2.0, GigE, MIPI interfaces and other innovative machine vision products are renowned for their high quality and ability to meet the performance requirements of demanding applications.

ISO 9001:2015 certified MVTEC | Edge AI + Vision Alliance | EMVA

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