LUCID Videos

LUCID Vision Labs

LUCID Vision Labs
If you're having trouble reaching your maximum frame rate on our LUCID Ethernet machine vision camera (or any other Ethernet based machine vision camera) please try these following steps for Windows 10 computers. This video is based on our KB article https://support.thinklucid.com/knowledgebase/tips-for-reaching-maximum-frame-rate/ 0:00 Intro 0:18 Enable Jumbo Frames 0:56 Increase Receive Buffers 1:07 Enable Interrupt Moderation 1:25 Check Speed and Duplex 1:41 Confirm setting changes in AreanView GUI 2:18 Change ADC bit depth to 8-bit for Atlas & Atlas10 Cameras 2:34 Reducing "Device Link Throughput Reserve" 2:56 Reducing "Stream Channel Packet Delay" 3:23 Cameras tested with these changes (1, 5 and 10 GigE examples) Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Ethernet Camera Tips for Reaching Maximum Frame Rate (Windows 10)
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In this video we will go over some examples of inspection using polarization camera data. Examples include plastic scratch, stress, liquid, and shape inspection. Also showing examples of night time imaging using polarization cameras. More info: https://thinklucid.com/polarized-camera-resource-center/ Phoenix Polarization camera: https://thinklucid.com/product/phoenix-5-0-mp-polarization-model-imx264mzrmyr/ Triton Polarization camera: https://thinklucid.com/product/triton-5-0-mp-polarization-model-imx264mzrmyr/ Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Intro to Inspection with Polarization Sensor
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Why is the Triton called a “Factory Tough” camera? We’ll go over the Triton’s specifications and dig a little deeper into some of the important details on how the Triton was tested and certified against common hazards in an industrial environment. Free "Factory Tough" White Paper (online form) https://thinklucid.com/factory-tough-cameras/ Triton Landing Page: https://thinklucid.com/triton-gige-machine-vision/ Contents: 0:00 - Intro 0:10 - Triton camera overview 0:37 - Sensor options 0:54 - Active sensor alignment 1:12 - Basic camera specs/features 1:28 - M12 Ethernet port and M8 GPIO port 1:49 - Challenges of using a camera in industrial environments 1:57 - Shocks, bumps, vibrations 2:32 - Triton tested on Electrodynamic Shaker 3:10 - Dust and moisture protection - IP67 4:07 - Options for IP67 lens tubes 4:18 - Thermal shock testing for the camera 5:02 - Industrial EMC immunity testing 5:30 - Triton camera EMC immunity test specifications 5:30 - ESD discharge test on Triton camera 6:01 - Noise interference & 24V PLC GPIO support 6:30 - Triton features vs cost 6:55 - Triton 5MP Sony IMX547 price 6:55 - Industrial camera features summary Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
The "Factory Tough" Triton Machine Vision Camera
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LUCID's Phoenix machine vision camera - a flexible GigE PoE camera module designed for easy OEM integration. It has a hybrid design between a board-level camera and a regular cased machine vision camera. This design allows it to offer a lot of different form factor options. With a wide selection of sensors from 0.4 MP to 20 MP, 4 lens mounts, 3 camera orientations, and 3 interface connector options, the camera can be adapted to fit into various applications. Change camera shape, remote head option, RJ45 or M12 Ethernet port extender options, and more! Prices range from $295 to $1,950.00 USD (Based on sensor choice). Learn more: https://thinklucid.com/phoenix-machine-vision/ 0:00 Intro 0:35 General Features 1:30 Lens Mounting Options 2:02 Transformable Orientation Shape 2:43 Connector Port Options 3:37 Easy Online Ordering Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
The Phoenix: Transformable Machine Vision Camera Module
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At a cheese factory in the Netherlands, 12 self-driving forklifters have the task to stack and de-stack cheese boxes in a fully automated process. The autonomous forklifters provided by Toyota Material Handling move racks of cheese 24/7 between production and ripening halls. These racks are roughly 3 meters high and can be stacked up to 3 levels. Before placing one rack on top of another, the exact position where to place it, needs to be determined. Florinco, a developer of smart software solutions, has developed vision algorithms to extract certain features from the images to come up with more reliable measurements. The Helios ToF cameras were connected to an industrial PC with an Intel Atom processor, running Linux. This PC was connected to the forklifter’s internal network to communicate the measurement results to the central processor of the forklifter. Read the full case study: https://thinklucid.com/autonomous-forklift-case-study/ Helios2 3D ToF Camera: https://thinklucid.com/helios-time-of-flight-tof-camera/ Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Autonomous Forklift - Cheese Stacking
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Watch our extended Bin Picking webinar and learn how to improve your point cloud for challenging objects such as shiny metals and plastics. See how changes in image accumulation, exposure, gain, confidence, and spatial filtering settings can increase point cloud quality with before and after image examples using our ArenaView GUI with Helios2 3D ToF Camera. *To learn how to add RGB Data to your Helios point cloud visit our App note: https://support.thinklucid.com/app-note-helios-3d-point-cloud-with-rgb-color/ 0:00 - Intro 0:12 - LUCID Vision Labs overview 0:33 - LUCID's Time-Of-Flight Camera Milestones 1:33 - Why use Helios2 for Bin Picking? 2:54 - Factory Tough 3D Camera Specs 3:32 - Image Accumulation, Exposure & Gain, Confidence and Spatial Filtering, Adding RGB Data, and Combine Multiple Cameras 4:05 - Distance Operating Modes 4:25 - Mode for Best Accuracy and Precision for Bin Picking & Size of Imaging Area 5:11 - Dark Metal Monitor Mounts (Example of Image Accumulation) 5:53 - Dark Metal Monitor Mounts - Realtime Example of Image Accumulation Change 6:49 - Metal Struts (Example of Exposure Control) 7:30 - Metal Struts - Realtime Example of Exposure Control 8:07 - PVC Pipes, Dark Grey and White (Example of Conversion Gain) 8:31 - PVC Pipes, Dark Grey and White - Realtime Example of Conversion Gain 8:56 - Plastic Keyboard (Example of Spatial Filtering) 9:26 - Plastic Keyboard - Realtime Example of Spatial Filtering 9:58 - Plastic Bottles, Toothpaste, Lotion, Etc - (How all settings work together) 10:33 - Plastic Bottles, Toothpaste, Lotion, Etc - Changing Depth Range, Exposure, Gain and Confidence Realtime Examples 12:14 - Plastic Bottles, Toothpaste, Lotion, Etc - Image Accumulation, Exposure, and Confidence Realtime Examples 13:18 - Plastic Bottles, Toothpaste, Lotion, Etc - Example of RGB Data added to the Point Cloud 13:58 - How small can you go? Realtime example 14:33 - Application Examples 15:15 - Arena SDK Overview + 3rd Party 3D Software Compatibility 15:57 - Contact LUCID Vision Labs Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Helios2 3D ToF Camera - Bin Picking Presentation: Settings to Improve your Point Cloud
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For challenging objects that are more difficult to 3D image using Time of Flight (ToF) technology, such as dark and low reflective objects, the Helios2 allows users to increase image accumulation. This allows the Helios2 camera to "stack" multiple depth frames together and average out the results. While this will reduce the frame rate, it will improve the resulting point cloud data. Here is an example using a common black plastic pallet (48x40in) used in warehouses, split between a concrete and metal floor. Distance from Helios2 to pallet is 1.75m. Learn more about LUCID Vision Labs and the Helios2 ToF Camera at https://thinklucid.com/helios-time-of-flight-tof-camera/
Helios2 3D Camera - Real-Time Image Accumulation Example
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A real-time stream example from the Helios2 3D Time of Flight camera. Showcasing a variety of materials and shapes - plastic markers, Bosch metal parts, black chairs, laminate table, carpet, and cardboard boxes. Helios2 native resolution is 640x480px running at 30 fps. Video is upscaled to 4K. Very little filtering was done, only confidence threshold was set to 500. Image accumulation and flying pixel filter were both disabled. Learn more about LUCID Vision Labs and the Helios2 ToF Camera at https://thinklucid.com/helios-time-of-flight-tof-camera/ Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Helios2 3D Camera - Real-Time Point Cloud Stream Example
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Here is a quick video showcasing some 3D point clouds taken by the Helios2 Time-of-Flight 3D camera. Learn more about the Helios2 camera and download these point clouds (.PLY) files here https://thinklucid.com/helios-time-of-flight-tof-camera/ Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Helios2 3D Camera - Point Cloud Examples
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The Helios2 combines a factory tough design with exceptional 3D precision and accuracy into a compact IP67 machine vision camera. Featuring Sony's IMX556PLR DepthSense sensor, users are able to stream 3D point clouds in real time for use in a variety of industrial applications. Learn what's new in the Helios2 and how it compares to the original Helios in this video. Learn more at https://thinklucid.com/helios-time-of-flight-tof-camera/ 0:00 - Intro 0:30 - IP67 Protection 0:47 - Industrial EMC Immunity 1:12 - M12 Connector and PoE (Power over Ethernet) 1:25 - Increased Working Distance 1:37 - Improved Light Transmission and Better 3D Performance 2:36 - Additional New Features (Distance Modes, FoV, Exposure Settings) 3:08 - Multi Camera Functionality and Adding RGB Color Data 3:46 - Arena SDK 3:59 - Lower price than original Helios 3D camera Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Helios2 Time of Flight (ToF) 3D Camera - IP67, Sub-Millimeter Precision
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Industrial sensors continue to evolve with higher resolutions in larger sensor sizes but also with smaller pixels sizes. This video will touch on current 2020 sensor trends and what LUCID does specifically for higher resolution sensors to maximize their imaging performance. Additional Resources: Comparison of Pregius Sensor Generation: https://thinklucid.com/tech-briefs/sony-4th-generation-pregius-s/ Explanation of Active Sensor Alignment: https://thinklucid.com/tech-briefs/active-sensor-alignment/ Why Use TFL-Mount for Larger Sensors Sizes: https://thinklucid.com/tech-briefs/tfl-mount-for-new-high-resolution-cmos-sensors/ Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Are All High Resolution Industrial Cameras the Same?
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For demanding real-time object detection, Time-of-Flight (ToF) cameras using Sony’s new IMX556 DepthSense sensor have boosted speed, precision and accuracy but also simplified integration time and cost. To achieve the full potential of Time-of-Flight technology, some key factors should be considered. In this video we'll talk about common challenges with ToF and some tips to help overcome them. Here's a breakdown of the video: 0:00 - Intro 0:36 - LUCID Vision Labs overview 1:03 - How Time of Flight (ToF) calculates 3D depth data 2:16 - Intro to Sony DepthSense ToF sensor (IMX556) 2:51 - Helios 3D ToF camera features 3:20 - Helios Flex camera modules for Jetson TX2 features 3:33 - Distance & accuracy - What is ToF best suited for? 4:21 - Outdoor & indoor lighting 6:45 - Target & camera motion 8:10 - Specular & Non-reflective objects 8:46 - Exposure time & gain, image accumulation, confidence threshold 10:00 - Multipath: object multipath 10:53 - Multipath: surface background multipath 11:52 - Ambiguity (wrap around) 13:15 - Frequency cross-talk interference 14:27 - Additional helpful resources 14:44 - How to contact LUCID Industrial Machine Vision Cameras https://thinklucid.com © LUCID Vision Labs
Time-of-Flight (ToF) Tips: Tips to Boost 3D Performance and Cut Integration Time & Cost
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