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Description:FSI manufactures a full line of rotary optical encoders, photo-electric sensors and counter based controls. FSI Machine Vision provides complete machine vision systems, engineering, training, and...
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FSI Blogs FSI Technologies Inc. SearchMachine Vision Encoders Post navigation ← Older posts Who is the WEAVER? Posted on February 7, 2020 by FSI Technologies Inc. Reply The WEAVE R is a new deep learning inference engine that comes with Adaptive Vision Studio 4.12. He is user friendly, cares greatly about performance and reliability. This newsletter will help you to get to know him better. 1- Performance Deep learning networks are typically created with frameworks like TensorFlow, PyTorch or Caffe. These are great environments for research. However, to achieve the highest possible performance you will also need an inference engine dedicated to your hardware platform. Our experiments have shown that relatively mature and usable choices are: TensorRT (GPU), OpenVINO (CPU), MXNET (GPU), PlaidML (GPU) and ONNX Runtime (CPU). WEAVER is a new option. He works best in machine vision applications and provides state of the art performance on both GPU and CPU. Below you can see how WEAVER ‘s performance looks like on our most popular neural network, Feature Detection (supervised pixelwise labeling, Thread Inspection official example): Feature Detection: Performance on GPU GTX 106 0 On nVidia RTX 2060, it gets even more interesting. TensorRT can go faster when numeric precision is reduced to 16 bits, while WEAVER still works with full 32-bit precision: Feature Detection: Performance on GPU GTX 2060 On the Intel CPU platform we compare WEAVER against OpenVINO and ONNX: Feature Detection: Performance on CPU DISCLAIMER: The WEAVER inference engine was specifically optimized for neural network we use, including Feature Detection. Performance for other neural network architectures may be different. 2. Reliability The fast pace of development in the field of deep learning is not particularly helpful in developing real-world systems. Most of our customers require long-term support and stable availability of the components they use. WEAVER solves that. He is independent of the open-source frameworks, eliminates Python code and provides long-term support for commercial projects. 3. Ease of use Most of the other inference engines require you to do the Python programming and tweak many things. WEAVER is different. He only does two things: (1) model optimization, (2) execution. All you need to deliver is your H5 network file (Keras output). Moreover, when you create your solution with Adaptive Vision Studio, WEAVER is already employed in three ready-to-use deep learning tools: Feature Detection, Point Location and Object Classification. DISCLAIMER: TensorRT, OpenVINO, MXNET, PlaidML, ONNX, TensorFlow, PyTorch and Coffe are trade marks of third party companies. Blog by: Adaptive Vision Posted in Adaptive Vision , Advanced Research , Deep Learning , Newsletter | Leave a reply FSI Advanced Research Exhibiting at SouthTec 2019, Greenville SC Posted on February 6, 2019 by FSI Technologies Inc. Reply Visit FSI Advanced Research in booth # 2605 at SouthTec 2019 to learn about the latest in machine vision technologies, featuring deep learning and 3D. FSI brings the right technology, engineering expertise and advanced analytics to help clients achieve quality performance and experience greater value. Greenville Convention Center, October 22-24. For more information, click here . Posted in 3D Vision , Deep Learning , Machine Vision , News | Leave a reply FSI Advanced Research will be exhibiting at the South Carolina Automotive Summit Posted on December 5, 2018 by FSI Technologies Inc. Reply FSI Advanced Research will be exhibiting at the South Carolina Automotive Summit, Feb 19-21, 2019 at the Hyatt Regency, Greenville SC. The SC Automotive Summit is sponsored by the South Carolina Manufacturing Alliance. Click here for more information, or to register. Posted in Advanced Research , Automation Technology , News | Leave a reply EyeVision supports DALSA cameras – all at once with Multi-Instance Posted on July 4, 2018 by FSI Technologies Inc. Reply DALSA Genie camera and many more are now supported by EyeVision The Genie GigE series and others by DALSA are now supported in EyeVision software. In addition, EyeVision offers a new feature, where with only one instance several cameras or sensors can be operated at the same time. Computers with more than one core can operate more than one camera per instance. The cameras can run different inspection programs but only use one EyeVision license. In short: One EyeVision license, several instances and several cameras per instance. And it does not matter if the cameras have different interfaces (GigE, USB, RS232, etc.), are 2D or 3D cameras, or have color or grey scale sensors. With this function the user might consider using EyeMultiView. It can display up to 16 camera views and evaluation images on one screen. With that many instances and cameras running at the same time, the display functionality of EyeMultiView makes monitoring easier for the user. For example, one camera can run pattern matching for error detection on a label and on the second camera the inspection for closed package. On the third camera the color inspection and the fourth one can read the bar code. With the Multi-Instance you only need one license for all this. All is now possible with DALSA cameras and as always, the inspection programs can be created with the drag-and-drop function and in the graphical user interface where the user can switch between the different projects and programs. Posted in EVT , EVT Software , EyeVision , News , Vision Sensors | Leave a reply EyeSens Robotic for a Robot Vision solution in only a few clicks! Posted on June 10, 2018 by FSI Technologies Inc. Reply Smart Vision Sensor with commands for robot control EVT has now added the new EyeSens Robotic to the Smart Vision Sensor System EyeSens. It is now possible to directly control a UR Universal Robot” with the new software add-on with only a few clicks. With the EyeSens smart vision sensors the user can easily create a complex pick and place application. The Robotic add-on in combination with the EyeSens Match allows every user, beginners as well as advanced users, to solve pick and place applications with a UR robot. The support of other robots with the EyeSens Vision Sensors will be possible in the near future. The EyeSens Vision Sensors contain the command set based on EyeVision software which contains hundreds of tools including the KeyMatch (pattern matching) and Blob (object detection) commands. Posted in EVT , EVT Software , EyeSens Robotic , News , Robot Vision solution , Vision Sensors | Leave a reply Precise Measurement of Holes and EVT Support of Various 3D Sensors Posted on May 8, 2018 by FSI Technologies Inc. Reply The measurement of holes and the determination of their position is a special challenge. EyeVision 3D software offers precise 3D measurements with more than 40 specialized commands. In the case of sheet metal components, it is possible to capture the whole component geometry in a high-resolution point cloud by using visual 3D metrology. A precise metrology command set allows correctly defining various measurements in a point cloud and their coordinates in relation to other results with only a few commands. Typical characteristics such as hole patterns, cut/trimming, and resilience on edge laps of car bodies can also be measured exactly. For the inspection of weld seams, as well as adhesive beads, EyeVision 3D software uses the ProfileMatch command. Just a simple parametrization allows the evaluation of profiles and issues an analysis of the detected defect. A detailed protocol for all measurement results can be issued with just a few mouse clicks. With the complete command set of EyeVision software it is possible to configure the application with 2D cameras and 3D sensors. For example, the point cloud can be displayed as 2½D image, and read an embossed or engraved lettering with a 2D OCR module. This is useful when reading DOT code on a tire or stamped numbers in...
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