FRAMOS’ Post

Tamron's VIS-SWIR SMA series offers a broad spectral range, spanning from visible light to the Short Wavelength Infrared (SWIR) band. Tailored for industrial use in sectors like food processing and medicine, this lens series integrates outstanding features to ensure unparalleled imaging accuracy. 🌈 Wide Spectral Range Coverage: Tamron’s SMA series covers a wide spectral range from visible-light to the Short Wavelength Infrared (SWIR) band from 400nm to 1700nm. 🔍 Significant Reduction of Focus-Shift: This series excels in reducing focus-shift throughout the spectrum, providing optimal optical solutions for machine vision cameras operating in visible and/or SWIR wavelengths. 💡 Industry-Leading Spectrum Transmittance: With approximately 80% constant spectrum transmittance across the entire spectrum, guaranteeing exceptional imaging performance in diverse industrial settings. 🔬 Enhanced Imaging Performance at Close-Up Distances: Tamrons SMA series ensures high image contrast at close-up distance commonly used in industrial inspection. Click here to learn more about this series: https://bitly.ws/3gIWs #SMAseries #IndustrialOptics #ImagingPrecision #SWIRBand #IndustrialOpticalSolutions #MachineVision #TamronIndustrialOptics

DYK: Lincoln Laboratory developed a large-format charge-coupled device (CCD) imager to replace the outdated Ebsicon vacuum-tube cameras of the Ground-Based Electro-Optical Deep-Space Surveillance system that provided space-object identification on deep-space #satellites. The successful fabrication of this imager was accomplished in 1994 and supplied to Photometrics to build the prototype CCD camera. These prototype cameras were used as part of the GEODSS Upgrade Prototype System to develop operational image processing #software and demonstrate the enhanced performance of CCD cameras in GEODSS. The upgrade also provided for enhanced signal processing and tracking #algorithms, and modern data processing #technology.

Capturing data with a hyperspectral camera demands precision and the right setup. These cameras collect data across the electromagnetic spectrum, revealing much more than traditional imaging methods. But what steps are necessary to record that data effectively? It starts with choosing the right equipment and setting the proper lighting and calibration. Each detail matters to get reliable results. For more on how to optimize your data capture process with hyperspectral imaging, click here: https://lnkd.in/g-xZRWSJ #HyperspectralImaging #DataCapture #TechInIndustry #AdvancedImaging #MaterialAnalysis #ProcessOptimization #NonDestructiveTesting #InnovationInTech #SpectralData #SpectralAnalysis

Welcome to #FAQFriday, where we answer your frequently asked questions about scientific imaging! 💬 A common hyperspectral imaging question we receive: What is a spectral flattening filter and why would I need one? ⁉ Answer: A spectral flattening filter is used to flatten the spectral signal when the signal from the spectral camera varies significantly in radiance across the wavelength range for that camera. The filter is used to increase the SNR at particular wavelength bands and improve the dynamic range of the detector. This is most often recommended in the #SWIR range when using Halogen or Sunlight as illumination. Specim provides their SWIR filters with a special coating to block the 800-960nm wavelengths. Utilizing this filter helps prevent over and undersaturated pixels during data collection, resulting in higher quality data. 👌 For more answers to commonly asked questions about scientific imaging, check out our Tech Support section on our website or comment below with your questions! 👇 https://lnkd.in/gviRV8sZ #channelsystems #hyperspectralimaging #spectralimaging #spectralfilters

EVK DI Kerschhaggl GmbH's Alpha G100 CS real-time image processing system combines the classification of multimodal data, such as hyperspectral, RGB and conductivity data, with advanced functions for sorting applications. In addition to the material classification of the Helios SWIR hyperspectral camera image data, the system also enables the fusion of Helios data with the data from color cameras or inductive metal sensors, such as the Abas. Within a few milliseconds, all material classes are determined and classified and directly control the ejection systems of an optical sorting system. www.evk.biz #hyperspectralimaging #sorting #recycling #imageprocessing #spectroscopy #machinevision  

Learn about common computer vision system development hurdles and how FRAMOS can help. 

Radar Signal Processing: Visualising FFT Traces In this video, I showcase our radar signal processing utility, featuring real-time visualisation of up to 3 FFT traces on a logarithmic grid. This tool highlights the subtle variations in radar returns, allowing us to detect micro-movements like breathing within a room. By leveraging advanced signal processing techniques, we're able to differentiate between noise, static objects, and dynamic elements within the scene. Stay tuned for insights into how this system is designed to capture even the smallest changes, making it highly effective for precise monitoring applications. #RadarTechnology #SignalProcessing #FFT #Innovation https://lnkd.in/eszGYpYK

Check out the recently published paper from Uwe Artmann and Robin Jenkin at last January’s Electronic Imaging Conference. This paper discusses the ability to measure the noise equivalent quanta (NEQ) using the dead leaves chart. #imagequality #noise #noiseequivalentquanta #deadleaves #spatialfrequencyresponse #nvidia #nynomic #nynomicmember

For more information about "Towards Modeling and Assessing the Disorientation and Misalignment Effect in Optical Wireless Nano-Networks" you can also read our paper in the following link: https://lnkd.in/dQz7nxjF

In this paper, the authors develop a #dual-#sensing #system, in which a vision sensor is leveraged to guide #digital #beamforming in a #multiple-#input #multiple-#output (#MIMO) radar. Also, they develop a #calibration #algorithm to align the two types of sensors and show that the calibrated dual system achieves about two centimeters precision in three-dimensional space within a field of view of 75◦ by 65◦ and for a range of two meters. Finally, they show that the proposed approach is capable of detecting the vital signs simultaneously for a group of closely spaced subjects, sitting and standing, in a cluttered environment, which highlights a promising direction for vital signs detection in realistic environments. ---- Shuaifeng Jiang, Ahmed Alkhateeb, Daniel W. Bliss, Yu Rong More details can be found at this link: https://lnkd.in/e9-W9P-K