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LUCID Vision Labs LUCID Vision Labs

LUCID Vision Labs

Modern Machine Vision Cameras

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LUCID Videos

LUCID Vision Labs

LUCID Vision Labs
Take a quick look at some of LUCID Vision Labs upcoming machine vision cameras we have in store for 2023. 0:00 Intro 0:00 Triton2 - 2.5GigE camera 0:21 Triton EVS - Event based camera 0:35 Atlas10 - 10GigE with RDMA (Remote Direct Memory Access) 0:48 Atlas25 - 25GigE Camera https://thinklucid.com
LUCID provides two SWIR cameras: Atlas IP67 SWIR camera and Triton IP67 SWIRE camera. Watch this short video to know the differences between these two SWIR industrial cameras. https://thinklucid.com/swir-ip67-cameras/ #Shorts #youtubeShorts #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision #infraredcamera
In this presentation, we go over the main benefits of using JupterLab for Machine Vision, in particular the initial stages of evaluation and development. JupyterLab is an opensource, web-based, interactive, development platform. It allows one to easily experiment and explore initial ideas for your vision IP out of the box.
The Phoenix Machine Vision camera offers up to 5 different lens mount options. Watch this video to get an overview of the differences between each one. See more at https://thinklucid.com/phoenix-machine-vision/ 0:00 Intro 0:30 C-mount 0:58 NF-mount (NF-J) 1:32 S-mount (M12) 2:06 No lens mount 2:16 Extended head mount #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision
Learn more about the Phoenix camera here: https://thinklucid.com/phoenix-machine-vision/ #Shorts #youtubeShorts #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision
Our Arena SDK now includes JupyterLab built-in to our ArenaView Viewer. This speeds up product qualification workflow without having to set up a custom development environment, allowing for a shorter cycle for evaluation, testing and prototyping. Download our Jupyter Notebooks here: https://thinklucid.com/jupyterlab-resource-center/ New to JupyterLab in ArenaView? Visit our getting started guide first: https://support.thinklucid.com/knowledgebase/using-lucids-arenaview-with-jupyterlab/ #Shorts #youtubeShorts #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision
LUCID's Atlas IP67 SWIR camera allows users to image a range of 400nm to 1700nm of the light spectrum. The camera's capability of capturing on the short-wavelength infrared light spectrum opens up a world of industrial applications with greater precision in fruit inspection and sorting, packaging, IR microscopy, semiconductor inspection, material sorting and more. Learn more https://thinklucid.com/atlas-swir-ip67-camera/ #Shorts #youtubeShorts #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision
This video tutorial will walk you through the steps needed to install and run our sample Object Detection Notebook for JupyterLab in ArenaView. Download our Jupyter Notebooks here: https://thinklucid.com/jupyterlab-resource-center/ New to JupyterLab in ArenaView? Visit our getting started guide first: https://support.thinklucid.com/knowledgebase/using-lucids-arenaview-with-jupyterlab/
LUCID is demoing our Triton EVS Event-Based Camera, Helios2+. 3D Time-of-Flight Camera, and our Triton Edge, All-in-One Edge Computing Camera. Check it out! #machinevision #Shorts #youtubeShorts #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision
Need high resolution, high frame rates, and high image quality performance? This video is an overview of the Atlas10 10GigE Machine Vision camera featuring Sony's 47MP IMX492 Rolling Shutter CMOS sensor (PNL ATX470S). Atlas10 ATX470S https://thinklucid.com/product/atlas10-47mp-imx492/ Atas10 10GigE Machine Vision Camera: https://thinklucid.com/atlas10-10gige-poe-pregius-s/ Table of contents 0:00 Intro 0:16 Resolution Details 0:29 Sensor Specifications 0:40 Frame Rates (at Max Res, 8K, 4K, 1080p) 1:09 TFL Lens Mount details & benefits 1:30 Active Sensor Alignment 1:45 EMVA1288 Results (QE, Sat Capacity, Read Noise, Dynamic Range) 3:49 Applications for this model 3:58 Photogrammetry (DSLR/Mirrorless vs Machine Vision Cam) 4:30 PTP IEEE1588 Triggering 4:51 Arena Software Development Kit (SDK) 5:11 Pricing and Conclusion #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision
Comparing two Triton Cameras - one with Sony's IMX490 HDR sensor and another with Sony's IMX264 sensor. Thanks to the IMX490 on-sensor HDR and LUCID's 24-bit ISP, users can take advantage of the full 24 bit output and apply tone mapping to create 8 bit images with excellent image data in both light and dark areas along with consistent imaging during drastic lighting changes. #Shorts #youtubeShorts #MachineVisionCamera #IndustrialCamera #LUCIDVisionLabs #MachineVision
This video is a long one but a good one! Take an in-depth look at the best practices for HDR imaging in automotive sensing systems and explains the technology used in the Sony IMX490 CMOS sensor, which provides simultaneous on-sensor 120 dB HDR imaging and LED flicker mitigation at 5.4 MP. Sensor available on LUCID's Triton IP67 5.4MP camera (TRI053S) Product Page: https://thinklucid.com/product/triton-5-mp-imx490/ 0:00 Intro 0:30 Agenda 1:00 LUCID Company 1:36 What is Automotive Sensing? 2:18 Levels of Driving Automation 4:09 Market Trends 5:56 Sensor Technologies 7:10 Automotive Camera Applications 8:02 Automotive Imaging Challenges 8:58 Dynamic Range 9:48 Dynamic Range Comparison 10:19 LED Are Everywhere 11:08 LED Flicker Comparison 11:37 Conventional HDR Imaging 12:40 Multi Exposure Motion Artifacts 12:58 LED Flicker 13:52 IMX490 HDR Simultaneous Exposure 14:38 IMX490 Pixel Structure 15:34 IMX490 Subpixel Luminance Mapping 16:11 LED Flicker Mitigation (LFM) 16:49 Comparison of HDR Strategies 17:56 Triton TRI053S 5.4MP Camera 20:03 Standard Triton Camera ISP 20:43 TRI054S 24 Bit Camera ISP 21:29 HDR Post Processing Strategies 23:19 Tone Mapping 26:29 Bits Extraction 27:18 Gamma Correction 28:48 Look Up Table (LUT) 30:03 In Camera Processing Summary 31:06 Adaptive Tone Mapping 35:21 Image Sensor Comparison 37:51 System Configuration 38:25 Frame Rate Calculation 40:14 Auto Exposure (Optional) 41:47 Accessories 42:10 Lens Calculator 42:25 Arena SDK 43:42 Further Use Cases... 44:44 Thank you
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  • Products
    • LUCID MACHINE VISION CAMERAS
    • • Phoenix GigE Vision Camera
    • • Triton GigE Vision Camera
    • • Triton2 2.5GigE Vision Camera
    • • Triton EVS – Event-Based Imaging
    • • Triton Edge, All-in-One Computing Camera
    • • Atlas & Triton SWIR IP67 GigE Vision Camera
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    • • Tripod Adapters & Misc Accessories
    • CAMERA & PRODUCT SELECTOR
    • DOWNLOADS
  • Resources
    • JUPYTERLAB RESOURCE CENTER
    • • Browse and download our sample Jupyter Notebooks for ArenaView
    • POLARIZATION RESOURCE CENTER
    • • Explore our collection polarization articles, resources, and helpful tutorials.
    • TECH BRIEFS OVERVIEW
    • • 5GBASE-T for High Speed Vision Systems
    • • Active Sensor Alignment
    • • EMVA 1288: Camera Sensor Review
    • • Gigabit Ethernet: The Efficient & Reliable Interface
    • • Factory Tough™ Cameras. Designed and Built for Industrial Use
    • • Sony 4th Gen Pregius S – The Next Evolution of Image Sensors?
    • • Sony’s DepthSense 3D Sensor Explained: Better Time of Flight
    • • Sony IMX490: On-Sensor HDR for 24-bit Imaging
    • • Sony’s Polarized Sensor: Beyond Conventional Imaging
    • • Sony Pregius CMOS: Next Level Imaging
    • • TCP for 10GigE Cameras: Reliable Image Transfer
    • • TFL-Mount: For High Resolution Large Format CMOS Sensors
    • • Understanding the Digital Image Sensor
    • WHITE PAPERS
    • • Going Polarized – Polarization Adds A New Perspective
    • • Time of Flight Gets Precise: Enhanced 3D Measurement With Sony DepthSense
    • • Time of Flight Forges Ahead: Design Tips to Boost 3D Performance
    • • Triton Edge: The Promise Of Industrial Embedded Vision Systems
    • CASE STUDIES
    • • Case Study: Rock Picking Robot
    • • Case Study: High Accuracy Drill Measurement
    • • Case Study: Autonomous Forklifts Stack Cheese 3D ToF
    • • Case Study: World’s First Level-4 Autonomous Electric Bus
    • • Case Study: Vision Guided Pick & Place System for Blister Packaging
    • • Case Study: 3D Time-of-Flight Camera Aids Robotic Palletizers
    • • Case Study: Real-time IoT Monitoring of Construction Sites
    • • Case Study: AI-Based Object Recognition for Maritime Navigation
    • • Case Study: Microsatellite Captures High Resolution Imagery
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