FluxData has an impressive track record of collaboration with university researchers, providing imaging systems that convert theoretical models and breadboard demonstrators into practical product solutions ready for data collection in the field or laboratory.

Our imaging experts have first-hand experience in premier academic research facilities. We leverage this experience in multiple ways that directly benefit the academic researcher. First, the cyclic nature of academic life requires agile, responsive suppliers of technology. We can operate on a schedule that meets your need to educate students and move your research program forward. Whether we are supplying imaging technology as a tool, or whether you are engaging in the research of imaging technology, we will work closely with you to enable your goals.

Second, we can supply technology suitable for any level of user. If you or your students are not imaging experts, our tools can be delivered with intuitive interfaces that can be operated with minimal training. Regardless of your expertise or the specific technology we deliver, we will make sure you and your team get the most out of your investment.

For specific details about the multispectral imaging technology we can provide, please browse the other solutions.  Please bear in mind the two primary ways in which we can help you:

  • By supplying tools that enable new questions to be answered. With our cameras you can consider research that cannot even be addressed with conventional imaging technology.
  • By collaborating on imaging research. We can work with you to develop unique and novel tools, and then iterate with you as the technology is refined.

By collaborating with us, we will put imaging tools into your hands that will bring your vision of the future into the present.

Contact us with your questions.

Current/Past Collaborators

  • Air Force Institue of Technology, Wright-Patterson Air Force Base, Ohio

Binary Classification of an Unknown Object through Atmospheric Turbulence Using a Polarimetric Blind-Deconvolution Algorithm Augmented with Adaptive Degree of Linear Polarization Priors

    • JPL
    • NASA
    • National ICT Australia Ltd

    Classification of Materials in Natural Scenes using Multispectral Images

    Automatic Exposure Control for Multispectral Cameras

    • New Mexico State University
    • Rochester Institute of Technology
    • Technische Universität Ilmenau
    • Universite de Bourgogne

    Polarization Stereoscopic Imaging Prototype

    Vision Based UAV Attitude Estimation: Progress and Insights

    Asserting the Precise Position of 3D and Multispectral Acquisition Systems for Multisensor Registration Applied to Cultural Heritage Analysis

    Registration of 3D and Multispectral Data for the Study of Cultural Heritage Surfaces

    Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics

    Contact us with your questions.