🌟 What Can Plasma Do? 🌟 Plasma - initiated and kept under perfect control by TRUMPF generators - might seem like a topic for sci-fi, but it’s quietly shaping our everyday lives in incredible ways! Here’s how: ✨ Smart Glass Plasma enables the ultra-thin coatings on glass facades of iconic buildings like Hamburg’s Elbphilharmonie and NYC's One World Trade Center. These coatings keep interiors comfortable and energy-efficient by controlling heat flow. Bonus? It powers frosted glass that turns transparent with a button press! 🔧 Durable Tools Tools like concrete drills and saws face extreme conditions. Plasma coatings make them tougher, rust-resistant, and longer-lasting—saving resources and reducing waste. 📱 Next-Gen Displays From VR-ready smartphones to ultra-clear TVs, plasma tech ensures displays are scratch-resistant, anti-reflective, and repel water and grease. Plasma is the unsung hero behind modern innovations. Next time you admire a skyscraper or swipe on your phone, remember - plasma made it possible! 💡 TRUMPF Huettinger Zajrzyj #zCiekawości TRUMPF Hüttinger AI Generated Image (OpenAI)
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It seems to be dark outside (at least in the northern hemisphere) so let's get our night-vision goggles out... More seriously, what are non-visible wavelengths good for in imaging? - UV (from 200nm, all the way through visible) allows fine detail imaging: below about 10um visible cameras struggle with wavelength-limited diffraction, UV reduces that significantly. On top of that it can be used to image electrical discharges - sparks are visible in UV more than visible. - IR means anything beyond the red-end of the visible spectrum, but in this case we mean SWIR and the sensors can image all of the visible spectrum through to about 1700nm. That's not 'thermal' in the usual sense (only for objects >200C) but it allows you to distinguish organic and non-organic materials (plastic or stones in foodstuffs), detect water (water is opaque in SWIR), see through some plastics (1500nm makes some solid plastics transparent). SWIR wavelengths also make silicon transparent, which allows analysis of semiconductor processes. And IR can be used to check the operation of photovoltaics before they are built into a solar cell - fractures can be detected at an early stage. - We can also talk about microwave ('terahertz') imaging with our new RadarImager, but that's a topic in itself. Balluff's UV and SWIR cameras offer all of the advantage we have in our industrial camera range - a choice of interfaces (including USB3, GigE and 10 GigE), environmental options (IP67, extended temperature range), smart features such as on-board ringbuffer (for burst acquisition, pre- and post-triggering and smart-frame-recall to output thumbnail images until an interesting image appears, then output the full image). Find out more : https://lnkd.in/eDfWJg-g #Balluff #Innovatingautomation #Machinevision #Industrialcameras
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We’ve just published our latest scoping review on sensor-enabled safety systems for human–robot collaboration (HRC) in manufacturing. After screening 6,669 references, we narrowed it down to 281 that reveal a clear uptick in multi-sensor approaches—often combining LiDAR, IR, capacitive, and laser scanning for speed and separation monitoring (SSM). We highlighted future needs: • Higher Frame Rates: Many systems run at under 30 Hz, which is too slow for fast human–robot interactions. Aim for 90 Hz or more. • Adaptive, Parallel Computing: Quick, redundant architectures across large sensor arrays enable real-time responsiveness. • Flexible, Scalable Sensors: Emerging large-area, printed, and stretchable electronics can deliver high-resolution and lightweight sensors . • Global 3D Mapping & Robust Data Fusion: Blending different sensors leads to smarter detection and differentiation of humans, objects. • Standards & Benchmarks: Clearer regulatory frameworks and standardized safety indices are essential for advancing HRC solutions. Curious to learn more? Dive into our PRISMA-ScR-based review for all the details, and let’s keep pushing the boundaries of robot safety together! Hamed FirouziPouyaei, Hoang-Long Cao, Nima Roshandel, Milan Amighi, Sébastien Menet, Dylan Sisavath, Antonio Paolillo, Xavier Rottenberg, Peter Gerets, David Cheyns, Ilja Ocket, Jan Genoe, Kathleen Philips, Ben Stoffelen, Jeroen Van den bosch, Steven Latré See link to paper in comments.
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Exploring the literature on sensor-enabled safety systems for human-robot collaboration — our latest review is now out in IEEE Sensors Journal! 🤖📡👨🔧 https://lnkd.in/eZSTxZGV #safety #sensors #SAFEBOT
We’ve just published our latest scoping review on sensor-enabled safety systems for human–robot collaboration (HRC) in manufacturing. After screening 6,669 references, we narrowed it down to 281 that reveal a clear uptick in multi-sensor approaches—often combining LiDAR, IR, capacitive, and laser scanning for speed and separation monitoring (SSM). We highlighted future needs: • Higher Frame Rates: Many systems run at under 30 Hz, which is too slow for fast human–robot interactions. Aim for 90 Hz or more. • Adaptive, Parallel Computing: Quick, redundant architectures across large sensor arrays enable real-time responsiveness. • Flexible, Scalable Sensors: Emerging large-area, printed, and stretchable electronics can deliver high-resolution and lightweight sensors . • Global 3D Mapping & Robust Data Fusion: Blending different sensors leads to smarter detection and differentiation of humans, objects. • Standards & Benchmarks: Clearer regulatory frameworks and standardized safety indices are essential for advancing HRC solutions. Curious to learn more? Dive into our PRISMA-ScR-based review for all the details, and let’s keep pushing the boundaries of robot safety together! Hamed FirouziPouyaei, Hoang-Long Cao, Nima Roshandel, Milan Amighi, Sébastien Menet, Dylan Sisavath, Antonio Paolillo, Xavier Rottenberg, Peter Gerets, David Cheyns, Ilja Ocket, Jan Genoe, Kathleen Philips, Ben Stoffelen, Jeroen Van den bosch, Steven Latré See link to paper in comments.
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Introducing the ALL-NEW Mech-Eye LNX series, the ultra-high precision 3D laser profilers! We are thrilled to share our self-developed Mech-Eye LNX series, designed to meet the demands of high-precision and high-speed inspection and measurement applications across various industries. Key Features: 🌟 4K Ultra-High Resolution: Provides 4096 data points per profile, capturing intricate details with exceptional clarity. 🌟 15kHz Ultra-High Scan Rate: Ideal for fast-paced industries like 3C electronics and EV battery. 🌟 Outstanding Imaging Performance: Quickly generates complete, detailed, and accurate high-quality 3D point cloud data, clearly presenting the true shape of objects, even on materials with weak signals such as edges. 🌟 Proprietary Optical Design and Advanced Imaging Algorithms: Excels in challenging imaging scenarios, handling fine structures, reflective surfaces, and occlusions with ease. 🌟 Single-Shot HDR Function: Enables stable imaging of both dark and reflective surfaces in a single scan, tackling complex material challenges effortlessly. 🌟 Open and User-Friendly SDK: Facilitates easy deployment of custom applications. 🌟 Reliable：Mech-Eye LNX series is IP67 rated, ensuring long-term stable operation in demanding industrial environments. Application Scenarios: - High-Precision Inspection and Measurement - Quality Control in 3C Electronics, Lithium Battery, Automotive, and Photovoltaic - Research and Development in Robotics and AI Combined with our self-developed Mech-MSR 3D Measurement and Inspection Software, the Mech-Eye LNX series provides comprehensive solutions for various high-precision measurement and inspection scenarios in electronics, EV battery, and more. Watch our video to see more details about Mech-Eye LNX series! Discover more about the Mech-Eye LNX series on our website: https://lnkd.in/gvs2z4rp #MechMind #Innovation #3DVision #IndustrialAutomation #QualityContro #HighPrecision #Innovation #QualityControl #Robotics
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🔍 Exploring Pulse Widths and Wavelengths for OLED Cutting Coherent ultrashort pulse lasers deliver cutting-edge precision in #OLED manufacturing, optimizing quality from 355 to 266 nm with pulse widths. Does wavelength make the difference? What's next in achieving bezel-free displays? Join the talk today at Photonics West: UV and DUV laser cutting of OLED displays for an enlarged active area 📢 Presented by Fabian Sörensen & Oliver Haupt ... and take a glimpse into the future of display technology below.
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Almost 20 years ago Micro-Epsilon introduced the scanCONTROL product family of Laser Line Profile sensors. At first came the LLT2800 series with it's separate head and controller. The ability to measure 2D surface features opened up a wealth of new applications like Weld and Glue Bead inspection as well as measuring the cracks in dried out river beds! Technological progression saw the reduction in overall size of the electronics to the self-contained LLT2700 series, which then opened up the robotics market; as it reduced the need for supporting additional electronics close or on the robot. It also paved the way for the 'SMART' versions of the sensors with the on-board processors able to calculate measurements from the measured profile directly in the sensor head. Miniaturisation continued with the launch of the LLT2900 series, which introduced greater point density and high speed profile capture, all in the same head. As well as a narrower line width from just 8 mm. The latest generation of scanCONTROL devices is the LLT3000 series which supports higher point resolutions, profile capture upto 10,000Hz and with the latest firmware also supports 3D data capture into 3D Inspect. This year also sees the launch of the new 'Profile Unit' which will enable the 'stitching' of multiple laser lines together for complete 360 degree profile capture. Innovation never stops at Micro-Epsilon! Find out more: https://lnkd.in/eZ7Rc6YK #innovation #anniversary #moreprecision #2d #3d #microepsilon
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Why yes, we also dramatically improve the performance of optical sensors and have the only high-index, solvent-free formulations on the market capable of delivering RI’s of 1.8+, >95%T, near zero haze, and film thicknesses from 30um to 50um! Check out the blog link below to learn more. #sensors #xr #extendedreality #displays #nanocomposites #nanomaterials #highindex
Not only are high-index materials leading the way for #xr and #display applications, but our customers are increasingly realizing the benefits of using our market-leading solvent-free high-index materials for their 3D #sensors. Check out our blog post at the link below to learn how high refractive index (#HRI) materials are used to reduce the thickness and increase the sensing power of nextgen sensors. https://lnkd.in/e3PsrpAU
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𝟮𝗗 𝗮𝗻𝗱 𝟯𝗗 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗩𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗠𝗮𝗿𝗸𝗲𝘁 𝟮𝟬𝟮𝟰-𝟮𝟬𝟯𝟬. 𝗚𝗹𝗼𝗯𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗥𝗲𝗽𝗼𝗿𝘁. 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝗳𝗼𝗿 𝗦𝗮𝗺𝗽𝗹𝗲 𝗣𝗗𝗙: https://lnkd.in/dHQwaKnS Machine vision (MV) encompasses technologies and methods aimed at automated imaging for tasks such as inspection, process control, and robotic guidance in industrial settings. It utilizes 2D and 3D imaging techniques for tasks like presence detection, object analysis, pattern alignment, barcode and optical character recognition (OCR), and geometric analysis. 2D machine vision relies on grayscale or color image contrast for tasks such as line fitting, arc and circle detection, and geometric measurements, while 3D machine vision excels in the precise inspection and measurement of complex three-dimensional surfaces. *𝗕𝘆 𝗧𝘆𝗽𝗲: Vision Sensor, Camera, Camera Lens, Light Source, Other *𝗕𝘆 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Healthcare, Automotive, Consumer Electronics, Intelligent Transportation System, Other *𝗕𝘆 𝗥𝗲𝗴𝗶𝗼𝗻: North America, Europe, Asia-Pacific, South America, Middle East & Africa *𝗕𝘆 𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀: Cognex Corporation, Teledyne Technologies Incorporated, KEYENCE CORPORATION, NI (National Instruments), Texas Instruments, Basler, Baumer, Canon Inc., SICK Sensor Intelligence, OMRON Group, Qualcomm, Scorpion Vision Ltd, IDS Imaging Development Systems GmbH, Datalogic, Microscan, ISRA VISION, FLIR Systems #2DMachineVision #AutomaticInspection #ProcessControl #RobotGuidance #ImageAnalysis #PatternRecognition #OCR #GeometricAnalysis #3DMachineVision #ThreeDimensionalInspection #SurfaceMeasurement #ComplexGeometry #PointCloudAnalysis #DepthMapping #Robotics #QualityControl
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