Posted in | News

Specim Launches Complete Spectral Imaging Platform for the Sorting Industry

Specim, Spectral Imaging Ltd releases the SpecimONE spectral imaging platform for the industrial sorting market.  With SpecimONE, machine builders, vision systems integrators, and other OEM’s will improve their time-to-market by taking advantage of SpecimONE’s agile development practices and creating new sorting applications without coding or in-depth knowledge of hyperspectral imaging.

A Powerful Tool for Industrial Applications

SpecimONE is compatible with major industrial standards and allows seamless integration with machine vision systems e.g. Halcon and Sherlock. When combining hyperspectral imaging technology’s flexibility with a simplified platform, end-customers can create unlimited amounts of new sorting applications.

Hyperspectral imaging is an extremely powerful tool for industrial sorting applications. We want to make spectral imaging easy, and SpecimONE is a big step towards that goal. We have now combined our superior know-how in hardware with easy to use software, creating a truly unique spectral imaging platform. We are confident that SpecimONE will answer industrial sorting market needs so that they can make their solutions faster, cheaper, and easier than ever before.

Tapio Kallonen, CEO, Specim

SpecimONE Consists of Three Essential Parts

SpecimONE includes industry-proven Specim FX series hyperspectral camera, SpecimCUBE processing hardware, and SpecimINSIGHT off-line software tool.

Specim FX series cameras are the first hyperspectral instruments designed specifically for industrial use. Cameras’ high frame rate meets the industry speed requirements, and robust structure and small size allow flexible installation locations.

SpecimCUBE is a high-performance processing platform to run classification models created by SpecimINSIGHT in realtime, including optimised software to meet industry requirements for throughput, latency, and jitter.

SpecimINSIGHT allows users to browse and explore data, create, and validate classification models. The current feature set focuses on sorting industry requirements:

  • A robust yet fast classification algorithm PLS-DA and support for MROI functionality to benefit from FX series camera speed
  • Support for all Specim dataset format cameras

For more information please visit our website.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Quantum Design UK and Ireland Ltd. (2020, November 03). Specim Launches Complete Spectral Imaging Platform for the Sorting Industry. AZoM. Retrieved on October 08, 2024 from https://www.azom.com/news.aspx?newsID=54897.

  • MLA

    Quantum Design UK and Ireland Ltd. "Specim Launches Complete Spectral Imaging Platform for the Sorting Industry". AZoM. 08 October 2024. <https://www.azom.com/news.aspx?newsID=54897>.

  • Chicago

    Quantum Design UK and Ireland Ltd. "Specim Launches Complete Spectral Imaging Platform for the Sorting Industry". AZoM. https://www.azom.com/news.aspx?newsID=54897. (accessed October 08, 2024).

  • Harvard

    Quantum Design UK and Ireland Ltd. 2020. Specim Launches Complete Spectral Imaging Platform for the Sorting Industry. AZoM, viewed 08 October 2024, https://www.azom.com/news.aspx?newsID=54897.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.