Today's newsletter dives into machine and industrial vision, starting with John Oncea's look at how vision systems are shrinking as optics, sensors, and AI converge at the edge, enabling compact, real-time intelligence for industrial, consumer, and defense applications without cloud dependence. Opto Diode Corp. An ITW Company kicks off our partner editorial, writing about precision illumination and detection for machine vision systems. PG&O Precision Glass & Optics explores BOROFLOAT (the world’s first borosilicate glass by SCHOTT), while Canon USA offers a way to eliminate challenges such as damage to the target object, measurement errors due to friction, or slippage that occurs in contact-type measurements. Iridian Spectral Technologies explains how compensating gain glattening filters improve PPEF performance, Zygo looks at measuring jet engine turbine blades with 3D optical profilers, and Sensors Unlimited Inc, a Raytheon Company writes about the chemical process control. We also feature solutions from KrellTech, Gentec-EO, PI (Physik Instrumente) Group, and IDEX Health & Science, LLC, as well as the latest news. Click the link and arm yourself with knowledge: https://lnkd.in/eYXuRzkj
Machine Vision Systems Converge at the Edge with Optics and AI
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In the laser industry, real breakthroughs come not from following trends, but from innovation and differentiation. The rise of AI has opened up new dimensions of thinking and greatly supports the innovation of laser level technology. As we embrace this new era, PinEasy Liansheng Optoelectronics will keep innovating and launch more unique, cutting-edge products, moving forward together with the industry. #LaserLevel #LaserLevels #LaserLevelTool #LaserLevelTools #LaserMeasurement #LaserDistanceMeter #LaserDistanceMeasuring #LaserTool #LaserTools #LevelingTool #LevelingTools #ConstructionTools #ConstructionTech #MeasuringTools #PrecisionTools #SmartTools #AIinConstruction #InnovationInTools #LaserIndustry #Optoelectronics #LianshengOptoelectronics #ExportBusiness #HardwareTools #PowerTools #IndustrialDesign #ProductInnovation
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Two decades ago, MEMS and PICs were fighting for subcomponent yield in research fabs. Today, they sit at the center of AI, data centers, and advanced packaging road maps. In the February issue of Photonics Spectra, Jessica Gomez, founder and CEO of Rogue Valley Microdevices, Inc., examines what is really limiting scale: film uniformity, etch precision, packaging discipline, and the industry’s uneven shift to 300 mm manufacturing. The physics works. The challenge now is process control, repeatability, and ecosystem alignment. Read it here: https://lnkd.in/enjyh3Ud #photonics #mems #semiconductor #siliconphotonics #advancedmanufacturing #datacenters #integratedphotonics
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Did you know Scientists at SLAC are using powerful X-ray lasers to observe electrons not atoms. Understanding them could reshape batteries and chips. The future of tech starts small. #Science #Semiconductors #Innovation
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Did you know Scientists at SLAC are using powerful X-ray lasers to observe electrons not atoms. Understanding them could reshape batteries and chips. The future of tech starts small. #Science #Semiconductors #Innovation
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Proud to share our latest research article published in Sensors and Actuators A: Physical! “Optimization of Coriolis-Driven Lab-on-a-CD Biosensors for CRP Detection using Box-Behnken Design and Hybrid TLBO-ANN Modeling” https://lnkd.in/dvMBWtVU This work combines design of experiments with artificial intelligence to significantly enhance biosensor performance for CRP detection. A great collaborative effort with my co-authors! #Biosensors #ArtificialIntelligence #Optimization #CRPDetection #SensorsAndActuators #Research #HealthcareInnovation
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📅WEBINAR Discover how terahertz and infrared inspection modalities can reveal complementary defect signatures across materials and assemblies! Fernando López, Ph.D., Solutions Manager at INO, will present practical use cases and demonstrate how complex imaging data can be translated into clear operational outputs such as pass/fail criteria, trend monitoring, and root-cause diagnostics. This session will also highlight how advanced inspection systems strengthen digital Quality Control frameworks and enable scalable, AI-driven quality workflows. Register here 👉 https://lnkd.in/eTqNt_fK #terahertz #infrared #manufacturing
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Inside every chip, there’s a tiny metal contact, or bridge, that helps electricity move between layers. As chips get smaller and AI demands more speed, these tiny contacts have become a major bottleneck. Applied Materials is enabling the next generation of contact scaling using molybdenum, a material that keeps electricity flowing faster, even at the most advanced nodes. Learn more about our materials engineering expertise: https://bit.ly/4rsMs0y #AppliedMaterials #MakeItMaterial #Semiconductor
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New Post: Ultra‑High‑Sensitivity Sub‑femtometer Displacement Measurement of MEMS Resonators Using Integrated Fabry‑Perot Interferometry and Machine‑Learning–Based Signal Extraction - https://lnkd.in/gCxdcihJ ### Abstract Measuring nanoscale vibrations of micro‑electromechanical system \(MEMS\) resonators with sub‑femtometer precision is critical for next‑generation sensor networks, quantum information platforms, and high‑precision metrology. Existing optical interferometric techniques are limited by shot‑noise, mechanical drift, and electronic pickup, yielding terahertz‑bandwidth measurements with noise floors above 10 fm /√Hz. This work introduces an integrated dual‑mode Fabry‑Perot interferometer \[…\]
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New Post: *DNA‑Origami Guided Self‑Assembly of Metallic Nanoparticles for Sub‑30 nm Precision Lattice Formation: A Machine‑Learning‑Enhanced Microfluidic Protocol* - https://lnkd.in/ghQhb4UV Guided Self‑Assembly of Metallic Nanoparticles for Sub‑30 nm Precision Lattice Formation: A Machine‑Learning‑Enhanced Microfluidic Protocol* — ### Abstract Controlling the relative placement of metallic nanoparticles at the nanometer scale remains a critical bottleneck for next‑generation plasmonic sensors, optical modulators, and quantum‑information platforms. In this study we present a fully automated, commercially viable approach that couples \[…\]
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New Post: Hybrid Sensor Fusion and Machine‑Learning Driven Real‑Time Vibration and Load Estimation for Five‑Axis Active Magnetic Bearings in Ultra‑High‑Speed Rotors - https://lnkd.in/ghktmAAc research proposal with commercial potential, developed within existing validated technologies.* — ### Abstract Ultra‑high‑speed rotors \(≥18 400 rpm\) in aerospace and industrial compressors demand active magnetic bearing \(AMB\) systems capable of maintaining sub‑millimetre clearance under highly dynamic loads. Conventional AMB controllers rely on a single sensor modality, usually Hall‑effect or induction sensors, which suffer from limited \[…\]
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