MVTec Software GmbH.

Size: px
Start display at page:

Download "2003-2012 MVTec Software GmbH."

Transcription

1 1 MVTec Software GmbH is a leading international manufacturer of software for machine vision used in all demanding areas of imaging: semi-conductor industry, web inspection, quality control and inspection applications in general, medicine, surveillance etc. MVTec's innovative work is driven by a commitment to be the number one supplier for sophisticated technologies in machine vision. MVTec is engaged in sponsoring various activities in universities, thus participating in the challenging process of understanding how machines can be taught to see. HALCON is the comprehensive standard software for machine vision with an integrated development environment (IDE) that is used worldwide. It leads to cost savings and improved time to market: HALCON's flexible architecture facilitates rapid development of machine vision, medical imaging, and image analysis applications. HALCON provides outstanding performance and a comprehensive support of multi-core platforms, MMX and SSE2, as well as GPU acceleration. It serves all industries with a library of more than 1800 operators for blob analysis, morphology, matching, measuring, identification, and 3D vision, to name just a few. HALCON secures your investment by supporting a wide range of operating systems and providing interfaces to hundreds of industrial cameras and frame grabbers, also for standards like GenICam, GigE Vision, and IIDC 1394.

2 2 Go on and be a Halconist.

3 3

4 4 Cutting-edge performance in 3D vision 3D vision is revolutionizing machine vision. 3D information helps machines and robots to see and decide what to do. 3D vision technologies are getting more and more important for industrial production, robotics, and medical applications. HALCON provides all technologies needed to implement almost any conceivable 3D vision application. To name just a few, HALCON 11 now offers new features like 3D surface comparison, 3D object processing, and improved photometric stereo for advanced surface inspection. HALCON 11 sets new standards in 3D vision technology and provides state-of-the-art image processing algorithms.

5 5 For surface comparison a reference 3D object model is needed. It can be generated from CAD data or from reconstructed 3D data. Because 3D sensor data (or data that was reconstructed by software, e.g. with stereo) is often noisy and incomplete, the data has to be pre-processed, e.g., by registering and unifying many views to a single object. During the online phase, the test objects are acquired by a 3D sensor (or by reconstruction). After that, they have to be aligned to the reference object, e.g., by surface-based 3D matching. After the alignment, the objects are compared by calculating the distance between reference and test object with distance_object_model_3d. Points that have a too large distance are candidates for defects.

6 6 The new 3D surface comparison between expected and measured shape of a 3D object surface is an outstanding technology of HALCON 11. The surface can be reconstructed by any 3D technology available in HALCON like multi-view stereo, sheet of light, or by ready-to-run 3D hardware scanners which are also directly supported by HALCON. HALCON's 3D surface comparison evaluates the resulting point cloud with the trained object model. HALCON 11 controls the quality of an object's shape and thus lets you enter new markets.

7 7 The new 3D surface comparison between expected and measured shape of a 3D object surface is an outstanding technology of HALCON 11. The surface can be reconstructed by any 3D technology available in HALCON like multi-view stereo, sheet of light, or by ready-to-run 3D hardware scanners which are also directly supported by HALCON. HALCON's 3D surface comparison evaluates the resulting point cloud with the trained object model. HALCON 11 controls the quality of an object's shape and thus lets you enter new markets.

8 8 The new 3D surface comparison between expected and measured shape of a 3D object surface is an outstanding technology of HALCON 11. The surface can be reconstructed by any 3D technology available in HALCON like multi-view stereo, sheet of light, or by ready-to-run 3D hardware scanners which are also directly supported by HALCON. HALCON's 3D surface comparison evaluates the resulting point cloud with the trained object model. HALCON 11 controls the quality of an object's shape and thus lets you enter new markets.

9 9 Supersonic Machine Vision It is unbelievable how fast software can be. HALCON's automatic operator parallelization (AOP) is a unique feature. Let HALCON automatically split your data into multiple threads running on all available processing cores and automatically merge the output into one result. HALCON 11 supports GPU processing based on the OpenCL standard. With HALCON 11, over 75 operators are currently supported on GPUs. That's more than any other software package on the market. Moreover, depth from focus (DFF), Fast Fourier Transformation (FFT), and HALCON's local deformable matching have been significantly accelerated. HALCON 11 lets you feel the speed in machine vision.

10 10 Supersonic Machine Vision It is unbelievable how fast software can be. HALCON's automatic operator parallelization (AOP) is a unique feature. Let HALCON automatically split your data into multiple threads running on all available processing cores and automatically merge the output into one result. HALCON 11 supports GPU processing based on the OpenCL standard. With HALCON 11, over 75 operators are currently supported on GPUs. That's more than any other software package on the market. Moreover, depth from focus (DFF), Fast Fourier Transformation (FFT), and HALCON's local deformable matching have been significantly accelerated. HALCON 11 lets you feel the speed in machine vision.

11 11 Sample-based Identification Becomes Reality Imagine your machine can identify any product only by sight without any bar or data code. HALCON 11 makes it true. HALCON 11 provides its unique sample-based identification. You only have to teach HALCON 11 your objects from a few different directions, and the software identifies similar to a human being your objects in any pose. This even works with warped objects or varying perspective views. No other software provides a similar technology. With HALCON 11, genuine object identification becomes reality.

12 12 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets.

13 13 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets.

14 14 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets.

15 15 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets. The data set consists of 20 different pages. The training is applied with PDF images, converted to TIFF. For each page only a single training with the synthetic model was applied.

16 16 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets. The data set consists of 14 different vegetables and fruits. For each object group only one training sample was used.

17 17 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets. The data set consists of 59 different paintings. For each painting only one training sample was used.

18 18 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets.

19 19 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets.

20 20 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets.

21 21 With HALCON 11, genuine object identification becomes reality. Sample-based identification is capable to differentiate a large number of objects. This technology can recognize trained objects only based on characteristic features like color or texture, thereby eliminating the need to use special imprints like bar codes or data codes for object identification purposes. This even works with warped objects or varying perspective views of the object. An additional option is to learn an object from any side by using samples showing all relevant views. No other software provides a similar technology. HALCON 11 lets you enter new identification markets.

22 22 Go on and be a Halconist.

Industrial Vision Days 2012 Making Cameras Smarter: FPGA Based Image Pre-processing Unleashed

Industrial Vision Days 2012 Making Cameras Smarter: FPGA Based Image Pre-processing Unleashed Industrial Vision Days 2012 Making Cameras Smarter: FPGA Based Image Pre-processing Unleashed Announcement of Partnership Seite: 3 High Quality Digital Cameras and Vision Sensors Visual FPGA Programming

More information

Solution Guide III-C. 3D Vision. Building Vision for Business. MVTec Software GmbH

Solution Guide III-C. 3D Vision. Building Vision for Business. MVTec Software GmbH Solution Guide III-C 3D Vision MVTec Software GmbH Building Vision for Business Machine vision in 3D world coordinates, Version 10.0.4 All rights reserved. No part of this publication may be reproduced,

More information

ni.com/vision NI Vision

ni.com/vision NI Vision ni.com/vision NI Vision The NI Vision Approach Integrate NI LabVIEW graphical system design software across the entire NI vision hardware portfolio to create a flexible, open platform that reduces development

More information

Intelligent Flexible Automation

Intelligent Flexible Automation Intelligent Flexible Automation David Peters Chief Executive Officer Universal Robotics February 20-22, 2013 Orlando World Marriott Center Orlando, Florida USA Trends in AI and Computing Power Convergence

More information

CHAPTER I INTRODUCTION

CHAPTER I INTRODUCTION CHAPTER I INTRODUCTION 1.1 Introduction Barcodes are machine readable symbols made of patterns and bars. Barcodes are used for automatic identification and usually are used in conjunction with databases.

More information

Go Faster - Preprocessing Using FPGA, CPU, GPU. Dipl.-Ing. (FH) Bjoern Rudde Image Acquisition Development STEMMER IMAGING

Go Faster - Preprocessing Using FPGA, CPU, GPU. Dipl.-Ing. (FH) Bjoern Rudde Image Acquisition Development STEMMER IMAGING Go Faster - Preprocessing Using FPGA, CPU, GPU Dipl.-Ing. (FH) Bjoern Rudde Image Acquisition Development STEMMER IMAGING WHO ARE STEMMER IMAGING? STEMMER IMAGING is: Europe's leading independent provider

More information

the power of machine vision

the power of machine vision the power of machine vision EN WWW.STEMMER-IMAGING.COM MVTec Software GmbH Building Vision for Business HALCON is for customers who want a comprehensive set of technologies to rely on experience to benefit

More information

How To Program With Adaptive Vision Studio

How To Program With Adaptive Vision Studio Studio 4 intuitive powerful adaptable software for machine vision engineers Introduction Adaptive Vision Studio Adaptive Vision Studio software is the most powerful graphical environment for machine vision

More information

VeriSens XC Complexity needs Simplicity

VeriSens XC Complexity needs Simplicity VeriSens XC Seite: 3 Introduction Michael Steinicke Product Manager Vision Sensors Baumer Optronic GmbH, Radeberg/Germany Seite: 4 Introduction 2000+ Employees 18 Countries Seite: 5 Topic Seite: 6 Machine

More information

Basler. Area Scan Cameras

Basler. Area Scan Cameras Basler Area Scan Cameras VGA to 5 megapixels and up to 210 fps Selected high quality Sony and Kodak CCD sensors Powerful Gigabit Ethernet interface Superb image quality at all resolutions and frame rates

More information

a powerful graphical developing tool for prototyping image processing tasks

a powerful graphical developing tool for prototyping image processing tasks a powerful graphical developing tool for prototyping image processing tasks PD Dr.-Ing. habil. Karl-Heinz Franke / Rico Nestler Ilmenau Technical University Faculty of Computer Science and Automation Computer

More information

Basler scout AREA SCAN CAMERAS

Basler scout AREA SCAN CAMERAS Basler scout AREA SCAN CAMERAS VGA to 2 megapixels and up to 120 fps Selected high quality CCD and CMOS sensors Gigabit Ethernet and FireWire-b interfaces Perfect fit for a variety of applications - extremely

More information

Overview. Proven Image Quality and Easy to Use Without a Frame Grabber. Your benefits include:

Overview. Proven Image Quality and Easy to Use Without a Frame Grabber. Your benefits include: Basler runner Line Scan Cameras High-quality line scan technology meets a cost-effective GigE interface Real color support in a compact housing size Shading correction compensates for difficult lighting

More information

MACHINE VISION MNEMONICS, INC. 102 Gaither Drive, Suite 4 Mount Laurel, NJ 08054 USA 856-234-0970 www.mnemonicsinc.com

MACHINE VISION MNEMONICS, INC. 102 Gaither Drive, Suite 4 Mount Laurel, NJ 08054 USA 856-234-0970 www.mnemonicsinc.com MACHINE VISION by MNEMONICS, INC. 102 Gaither Drive, Suite 4 Mount Laurel, NJ 08054 USA 856-234-0970 www.mnemonicsinc.com Overview A visual information processing company with over 25 years experience

More information

Introduction to GPU Computing

Introduction to GPU Computing Matthis Hauschild Universität Hamburg Fakultät für Mathematik, Informatik und Naturwissenschaften Technische Aspekte Multimodaler Systeme December 4, 2014 M. Hauschild - 1 Table of Contents 1. Architecture

More information

IoT: Smart Vision Leads The Way

IoT: Smart Vision Leads The Way IoT: Smart Vision Leads The Way Peter McGuinness Multimedia Technology Marketing www.imgtec.com IoT is changing from amorphous to concrete: Imagination Technologies US Summit May 2015 2 IoT is changing

More information

Basler. Line Scan Cameras

Basler. Line Scan Cameras Basler Line Scan Cameras High-quality line scan technology meets a cost-effective GigE interface Real color support in a compact housing size Shading correction compensates for difficult lighting conditions

More information

Basler pilot AREA SCAN CAMERAS

Basler pilot AREA SCAN CAMERAS Basler pilot AREA SCAN CAMERAS VGA to 5 megapixels and up to 210 fps Selected high quality CCD sensors Powerful Gigabit Ethernet interface Superb image quality at all Resolutions and frame rates OVERVIEW

More information

Basler beat AREA SCAN CAMERAS. High-resolution 12 MP cameras with global shutter

Basler beat AREA SCAN CAMERAS. High-resolution 12 MP cameras with global shutter Basler beat AREA SCAN CAMERAS High-resolution 12 MP cameras with global shutter Outstanding price / performance ratio High speed through Camera Link interface Flexible and easy integration Overview Convincing

More information

Shape Measurement of a Sewer Pipe. Using a Mobile Robot with Computer Vision

Shape Measurement of a Sewer Pipe. Using a Mobile Robot with Computer Vision International Journal of Advanced Robotic Systems ARTICLE Shape Measurement of a Sewer Pipe Using a Mobile Robot with Computer Vision Regular Paper Kikuhito Kawasue 1,* and Takayuki Komatsu 1 1 Department

More information

Parallel Computing: Strategies and Implications. Dori Exterman CTO IncrediBuild.

Parallel Computing: Strategies and Implications. Dori Exterman CTO IncrediBuild. Parallel Computing: Strategies and Implications Dori Exterman CTO IncrediBuild. In this session we will discuss Multi-threaded vs. Multi-Process Choosing between Multi-Core or Multi- Threaded development

More information

Optical Digitizing by ATOS for Press Parts and Tools

Optical Digitizing by ATOS for Press Parts and Tools Optical Digitizing by ATOS for Press Parts and Tools Konstantin Galanulis, Carsten Reich, Jan Thesing, Detlef Winter GOM Gesellschaft für Optische Messtechnik mbh, Mittelweg 7, 38106 Braunschweig, Germany

More information

Computer Graphics Hardware An Overview

Computer Graphics Hardware An Overview Computer Graphics Hardware An Overview Graphics System Monitor Input devices CPU/Memory GPU Raster Graphics System Raster: An array of picture elements Based on raster-scan TV technology The screen (and

More information

Unit 1: INTRODUCTION TO ADVANCED ROBOTIC DESIGN & ENGINEERING

Unit 1: INTRODUCTION TO ADVANCED ROBOTIC DESIGN & ENGINEERING Unit 1: INTRODUCTION TO ADVANCED ROBOTIC DESIGN & ENGINEERING Technological Literacy Review of Robotics I Topics and understand and be able to implement the "design 8.1, 8.2 Technology Through the Ages

More information

MeshLab and Arc3D: Photo-Reconstruction and Processing of 3D meshes

MeshLab and Arc3D: Photo-Reconstruction and Processing of 3D meshes MeshLab and Arc3D: Photo-Reconstruction and Processing of 3D meshes P. Cignoni, M Corsini, M. Dellepiane, G. Ranzuglia, (Visual Computing Lab, ISTI - CNR, Italy) M. Vergauven, L. Van Gool (K.U.Leuven ESAT-PSI

More information

Application Example: Quality Control of Injection-Molded Parts

Application Example: Quality Control of Injection-Molded Parts Application Example: Quality Control of Injection-Molded Parts Measuring Systems: ATOS Keywords: Optical 3D measuring technology, mold try-out, first article inspection, form and dimension inspection of

More information

LIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK

LIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK vii LIST OF CONTENTS CHAPTER CONTENT PAGE DECLARATION DEDICATION ACKNOWLEDGEMENTS ABSTRACT ABSTRAK LIST OF CONTENTS LIST OF TABLES LIST OF FIGURES LIST OF NOTATIONS LIST OF ABBREVIATIONS LIST OF APPENDICES

More information

How does the Kinect work? John MacCormick

How does the Kinect work? John MacCormick How does the Kinect work? John MacCormick Xbox demo Laptop demo The Kinect uses structured light and machine learning Inferring body position is a two-stage process: first compute a depth map (using structured

More information

Removing Moving Objects from Point Cloud Scenes

Removing Moving Objects from Point Cloud Scenes 1 Removing Moving Objects from Point Cloud Scenes Krystof Litomisky klitomis@cs.ucr.edu Abstract. Three-dimensional simultaneous localization and mapping is a topic of significant interest in the research

More information

Medical Image Processing on the GPU. Past, Present and Future. Anders Eklund, PhD Virginia Tech Carilion Research Institute andek@vtc.vt.

Medical Image Processing on the GPU. Past, Present and Future. Anders Eklund, PhD Virginia Tech Carilion Research Institute andek@vtc.vt. Medical Image Processing on the GPU Past, Present and Future Anders Eklund, PhD Virginia Tech Carilion Research Institute andek@vtc.vt.edu Outline Motivation why do we need GPUs? Past - how was GPU programming

More information

HIGH PERFORMANCE CONSULTING COURSE OFFERINGS

HIGH PERFORMANCE CONSULTING COURSE OFFERINGS Performance 1(6) HIGH PERFORMANCE CONSULTING COURSE OFFERINGS LEARN TO TAKE ADVANTAGE OF POWERFUL GPU BASED ACCELERATOR TECHNOLOGY TODAY 2006 2013 Nvidia GPUs Intel CPUs CONTENTS Acronyms and Terminology...

More information

T-REDSPEED White paper

T-REDSPEED White paper T-REDSPEED White paper Index Index...2 Introduction...3 Specifications...4 Innovation...6 Technology added values...7 Introduction T-REDSPEED is an international patent pending technology for traffic violation

More information

Computing at the HL-LHC

Computing at the HL-LHC Computing at the HL-LHC Predrag Buncic on behalf of the Trigger/DAQ/Offline/Computing Preparatory Group ALICE: Pierre Vande Vyvre, Thorsten Kollegger, Predrag Buncic; ATLAS: David Rousseau, Benedetto Gorini,

More information

Application Example: Quality control of sheet metal components

Application Example: Quality control of sheet metal components Application Example: Quality control of sheet metal components Optical 3D measuring techniques and inspection software for quality control of sheet metal components Measuring system: ATOS Keywords: Sheet

More information

Basler racer. Line Scan Cameras. Next generation CMOS sensors with 2k to 12k resolution and up to 80 khz line rate

Basler racer. Line Scan Cameras. Next generation CMOS sensors with 2k to 12k resolution and up to 80 khz line rate Basler racer Line Scan Cameras Next generation CMOS sensors with 2k to 12k resolution and up to 80 khz line rate Flexible and easy integration, supported by a very compact design Low power consumption

More information

Virtual Environments - Basics -

Virtual Environments - Basics - Virtual Environments - Basics - What Is Virtual Reality? A Web-Based Introduction Version 4 Draft 1, September, 1998 Jerry Isdale http://www.isdale.com/jerry/vr/whatisvr.html Virtual Environments allow

More information

VECTORAL IMAGING THE NEW DIRECTION IN AUTOMATED OPTICAL INSPECTION

VECTORAL IMAGING THE NEW DIRECTION IN AUTOMATED OPTICAL INSPECTION VECTORAL IMAGING THE NEW DIRECTION IN AUTOMATED OPTICAL INSPECTION Mark J. Norris Vision Inspection Technology, LLC Haverhill, MA mnorris@vitechnology.com ABSTRACT Traditional methods of identifying and

More information

3D Vision An enabling Technology for Advanced Driver Assistance and Autonomous Offroad Driving

3D Vision An enabling Technology for Advanced Driver Assistance and Autonomous Offroad Driving 3D Vision An enabling Technology for Advanced Driver Assistance and Autonomous Offroad Driving AIT Austrian Institute of Technology Safety & Security Department Christian Zinner Safe and Autonomous Systems

More information

Kapitel 12. 3D Television Based on a Stereoscopic View Synthesis Approach

Kapitel 12. 3D Television Based on a Stereoscopic View Synthesis Approach Kapitel 12 3D Television Based on a Stereoscopic View Synthesis Approach DIBR (Depth-Image-Based Rendering) approach 3D content generation DIBR from non-video-rate depth stream Autostereoscopic displays

More information

Camera BOF SIGGRAPH 2013. Copyright Khronos Group 2013 - Page 1

Camera BOF SIGGRAPH 2013. Copyright Khronos Group 2013 - Page 1 Camera BOF SIGGRAPH 2013 Copyright Khronos Group 2013 - Page 1 Copyright Khronos Group 2013 - Page 2 Cameras are Everywhere Interactive Systems that respond to user actions (PC, Gaming, Mobile) Motion/Gesture

More information

Next Generation GPU Architecture Code-named Fermi

Next Generation GPU Architecture Code-named Fermi Next Generation GPU Architecture Code-named Fermi The Soul of a Supercomputer in the Body of a GPU Why is NVIDIA at Super Computing? Graphics is a throughput problem paint every pixel within frame time

More information

Professor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia

Professor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia Professor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia As of today, the issue of Big Data processing is still of high importance. Data flow is increasingly growing. Processing methods

More information

RiMONITOR. Monitoring Software. for RIEGL VZ-Line Laser Scanners. Ri Software. visit our website www.riegl.com. Preliminary Data Sheet

RiMONITOR. Monitoring Software. for RIEGL VZ-Line Laser Scanners. Ri Software. visit our website www.riegl.com. Preliminary Data Sheet Monitoring Software RiMONITOR for RIEGL VZ-Line Laser Scanners for stand-alone monitoring applications by autonomous operation of all RIEGL VZ-Line Laser Scanners adaptable configuration of data acquisition

More information

Rapid Application Development for Machine Vision A New Approach

Rapid Application Development for Machine Vision A New Approach Rapid Application Development for Machine Vision A New Approach Introduction Converging technologies, such as the PCI-bus and Intel MMX, have created so much bandwidth and computing power that automation

More information

3. NUMBER OF PARTICIPANTS TO BE ENROLLED

3. NUMBER OF PARTICIPANTS TO BE ENROLLED 3. COMPUTER 1. Purpose of the course Refer to each sub-course. 2. Training program (1)General Orientation and Japanese Language Program The General Orientation and Japanese Program are organized at the

More information

Limitations of Human Vision. What is computer vision? What is computer vision (cont d)?

Limitations of Human Vision. What is computer vision? What is computer vision (cont d)? What is computer vision? Limitations of Human Vision Slide 1 Computer vision (image understanding) is a discipline that studies how to reconstruct, interpret and understand a 3D scene from its 2D images

More information

Brochure More information from http://www.researchandmarkets.com/reports/3508908/

Brochure More information from http://www.researchandmarkets.com/reports/3508908/ Brochure More information from http://www.researchandmarkets.com/reports/3508908/ Machine Vision Market by Component (Hardware and Software), Product (PC- Based Systems and Smart Camera-Based Systems),

More information

Programming models for heterogeneous computing. Manuel Ujaldón Nvidia CUDA Fellow and A/Prof. Computer Architecture Department University of Malaga

Programming models for heterogeneous computing. Manuel Ujaldón Nvidia CUDA Fellow and A/Prof. Computer Architecture Department University of Malaga Programming models for heterogeneous computing Manuel Ujaldón Nvidia CUDA Fellow and A/Prof. Computer Architecture Department University of Malaga Talk outline [30 slides] 1. Introduction [5 slides] 2.

More information

Manufacturing Process and Cost Estimation through Process Detection by Applying Image Processing Technique

Manufacturing Process and Cost Estimation through Process Detection by Applying Image Processing Technique Manufacturing Process and Cost Estimation through Process Detection by Applying Image Processing Technique Chalakorn Chitsaart, Suchada Rianmora, Noppawat Vongpiyasatit Abstract In order to reduce the

More information

Scope of operation and highlight of the microenable GigE Vision frame grabber family

Scope of operation and highlight of the microenable GigE Vision frame grabber family SILICONSOFTWARE GmbH Getting Started - GigE Vision Frame Grabber documentation Introduction GigE Vision frame grabber products Getting Started microenable IV AQ4-GE microenable IV AQ4-GPoE microenable

More information

REAL-TIME STREAMING ANALYTICS DATA IN, ACTION OUT

REAL-TIME STREAMING ANALYTICS DATA IN, ACTION OUT REAL-TIME STREAMING ANALYTICS DATA IN, ACTION OUT SPOT THE ODD ONE BEFORE IT IS OUT flexaware.net Streaming analytics: from data to action Do you need actionable insights from various data streams fast?

More information

Spin-Off of the University of Girona. Joaquim Salvi, Josep Forest Visió per Computador i Robòtica Universitat de Girona

Spin-Off of the University of Girona. Joaquim Salvi, Josep Forest Visió per Computador i Robòtica Universitat de Girona Spin-Off of the University of Girona Joaquim Salvi, Josep Forest Visió per Computador i Robòtica Universitat de Girona AQSENSE Facts (i) HISTORY 2004: Legal constitution Starting system integration activities

More information

ENGN 2502 3D Photography / Winter 2012 / SYLLABUS http://mesh.brown.edu/3dp/

ENGN 2502 3D Photography / Winter 2012 / SYLLABUS http://mesh.brown.edu/3dp/ ENGN 2502 3D Photography / Winter 2012 / SYLLABUS http://mesh.brown.edu/3dp/ Description of the proposed course Over the last decade digital photography has entered the mainstream with inexpensive, miniaturized

More information

Graphics Cards and Graphics Processing Units. Ben Johnstone Russ Martin November 15, 2011

Graphics Cards and Graphics Processing Units. Ben Johnstone Russ Martin November 15, 2011 Graphics Cards and Graphics Processing Units Ben Johnstone Russ Martin November 15, 2011 Contents Graphics Processing Units (GPUs) Graphics Pipeline Architectures 8800-GTX200 Fermi Cayman Performance Analysis

More information

Masters in Human Computer Interaction

Masters in Human Computer Interaction Masters in Human Computer Interaction Programme Requirements Taught Element, and PG Diploma in Human Computer Interaction: 120 credits: IS5101 CS5001 CS5040 CS5041 CS5042 or CS5044 up to 30 credits from

More information

A Prototype For Eye-Gaze Corrected

A Prototype For Eye-Gaze Corrected A Prototype For Eye-Gaze Corrected Video Chat on Graphics Hardware Maarten Dumont, Steven Maesen, Sammy Rogmans and Philippe Bekaert Introduction Traditional webcam video chat: No eye contact. No extensive

More information

Applications to Computational Financial and GPU Computing. May 16th. Dr. Daniel Egloff +41 44 520 01 17 +41 79 430 03 61

Applications to Computational Financial and GPU Computing. May 16th. Dr. Daniel Egloff +41 44 520 01 17 +41 79 430 03 61 F# Applications to Computational Financial and GPU Computing May 16th Dr. Daniel Egloff +41 44 520 01 17 +41 79 430 03 61 Today! Why care about F#? Just another fashion?! Three success stories! How Alea.cuBase

More information

Four Keys to Successful Multicore Optimization for Machine Vision. White Paper

Four Keys to Successful Multicore Optimization for Machine Vision. White Paper Four Keys to Successful Multicore Optimization for Machine Vision White Paper Optimizing a machine vision application for multicore PCs can be a complex process with unpredictable results. Developers need

More information

The Flat Shape Everything around us is shaped

The Flat Shape Everything around us is shaped The Flat Shape Everything around us is shaped The shape is the external appearance of the bodies of nature: Objects, animals, buildings, humans. Each form has certain qualities that distinguish it from

More information

3D SCANNING: A NEW APPROACH TOWARDS MODEL DEVELOPMENT IN ADVANCED MANUFACTURING SYSTEM

3D SCANNING: A NEW APPROACH TOWARDS MODEL DEVELOPMENT IN ADVANCED MANUFACTURING SYSTEM 3D SCANNING: A NEW APPROACH TOWARDS MODEL DEVELOPMENT IN ADVANCED MANUFACTURING SYSTEM Dr. Trikal Shivshankar 1, Patil Chinmay 2, Patokar Pradeep 3 Professor, Mechanical Engineering Department, SSGM Engineering

More information

1. INTRODUCTION Graphics 2

1. INTRODUCTION Graphics 2 1. INTRODUCTION Graphics 2 06-02408 Level 3 10 credits in Semester 2 Professor Aleš Leonardis Slides by Professor Ela Claridge What is computer graphics? The art of 3D graphics is the art of fooling the

More information

3D Vision An enabling Technology for Advanced Driver Assistance and Autonomous Offroad Driving

3D Vision An enabling Technology for Advanced Driver Assistance and Autonomous Offroad Driving 3D Vision An enabling Technology for Advanced Driver Assistance and Autonomous Offroad Driving AIT Austrian Institute of Technology Safety & Security Department Manfred Gruber Safe and Autonomous Systems

More information

WHITEPAPER. Image processing in the age of 10 Gigabit Ethernet

WHITEPAPER. Image processing in the age of 10 Gigabit Ethernet WHITEPAPER High resolution, high speed and low cost: CameraLink, CoaXPress or GigE Vision over 10GigE? Authors: Dipl.-Phys. Stephanie Zahner, Technical Product Manager Dr.-Ing. Ronald Müller, Head of Product

More information

White Paper. "See" what is important

White Paper. See what is important Bear this in mind when selecting a book scanner "See" what is important Books, magazines and historical documents come in hugely different colors, shapes and sizes; for libraries, archives and museums,

More information

Colorado School of Mines Computer Vision Professor William Hoff

Colorado School of Mines Computer Vision Professor William Hoff Professor William Hoff Dept of Electrical Engineering &Computer Science http://inside.mines.edu/~whoff/ 1 Introduction to 2 What is? A process that produces from images of the external world a description

More information

Jennifer Salerno Campus Relationship Manager Credit Suisse Campus Recruiting phd.recruiting@credit-suisse.com

Jennifer Salerno Campus Relationship Manager Credit Suisse Campus Recruiting phd.recruiting@credit-suisse.com To all Ph.D. and Quantitative Master's Degree students: In our last communication to you, we announced that Credit Suisse posted several full-time and summer opportunities through your University's Career

More information

WEST JEFFERSON HILLS SCHOOL DISTRICT THOMAS JEFFERSON HIGH SCHOOL DIGITAL DESIGN GRADES 10 11 12

WEST JEFFERSON HILLS SCHOOL DISTRICT THOMAS JEFFERSON HIGH SCHOOL DIGITAL DESIGN GRADES 10 11 12 GRADES 10 11 12 Curriculum Strand: Desktop Publishing Learn and Apply Elements of Layout and Design PA Academic Objective Instructional student Methods will be able to Materials/ Resources Textbooks, trade

More information

Introduction to Computer Graphics

Introduction to Computer Graphics Introduction to Computer Graphics Torsten Möller TASC 8021 778-782-2215 torsten@sfu.ca www.cs.sfu.ca/~torsten Today What is computer graphics? Contents of this course Syllabus Overview of course topics

More information

High speed 3D capture for Configuration Management DOE SBIR Phase II Paul Banks Paul.banks@tetravue.com

High speed 3D capture for Configuration Management DOE SBIR Phase II Paul Banks Paul.banks@tetravue.com High speed 3D capture for Configuration Management DOE SBIR Phase II Paul Banks Paul.banks@tetravue.com Advanced Methods for Manufacturing Workshop September 29, 2015 1 TetraVue does high resolution 3D

More information

Differentiation of 3D scanners and their positioning method when applied to pipeline integrity

Differentiation of 3D scanners and their positioning method when applied to pipeline integrity 11th European Conference on Non-Destructive Testing (ECNDT 2014), October 6-10, 2014, Prague, Czech Republic More Info at Open Access Database www.ndt.net/?id=16317 Differentiation of 3D scanners and their

More information

Petascale Visualization: Approaches and Initial Results

Petascale Visualization: Approaches and Initial Results Petascale Visualization: Approaches and Initial Results James Ahrens Li-Ta Lo, Boonthanome Nouanesengsy, John Patchett, Allen McPherson Los Alamos National Laboratory LA-UR- 08-07337 Operated by Los Alamos

More information

GeoImaging Accelerator Pansharp Test Results

GeoImaging Accelerator Pansharp Test Results GeoImaging Accelerator Pansharp Test Results Executive Summary After demonstrating the exceptional performance improvement in the orthorectification module (approximately fourteen-fold see GXL Ortho Performance

More information

How To Use Trackeye

How To Use Trackeye Product information Image Systems AB Main office: Ågatan 40, SE-582 22 Linköping Phone +46 13 200 100, fax +46 13 200 150 info@imagesystems.se, Introduction TrackEye is the world leading system for motion

More information

ZEISS T-SCAN Automated / COMET Automated 3D Digitizing - Laserscanning / Fringe Projection Automated solutions for efficient 3D data capture

ZEISS T-SCAN Automated / COMET Automated 3D Digitizing - Laserscanning / Fringe Projection Automated solutions for efficient 3D data capture ZEISS T-SCAN Automated / COMET Automated 3D Digitizing - Laserscanning / Fringe Projection Automated solutions for efficient 3D data capture ZEISS 3D Digitizing Automated solutions for efficient 3D data

More information

Alphacam Art combines Vectric s Aspire artistic design software with the market leading Alphacam manufacturing software.

Alphacam Art combines Vectric s Aspire artistic design software with the market leading Alphacam manufacturing software. Alphacam Art Alphacam Art - CNC Routing For Artists & Ideal Jewellery Cad Cam Software Alphacam Art combines Vectric s Aspire artistic design software with the market leading Alphacam manufacturing software.

More information

HPC with Multicore and GPUs

HPC with Multicore and GPUs HPC with Multicore and GPUs Stan Tomov Electrical Engineering and Computer Science Department University of Tennessee, Knoxville CS 594 Lecture Notes March 4, 2015 1/18 Outline! Introduction - Hardware

More information

Point Cloud Simulation & Applications Maurice Fallon

Point Cloud Simulation & Applications Maurice Fallon Point Cloud & Applications Maurice Fallon Contributors: MIT: Hordur Johannsson and John Leonard U. of Salzburg: Michael Gschwandtner and Roland Kwitt Overview : Dense disparity information Efficient Image

More information

Graphical Processing Units to Accelerate Orthorectification, Atmospheric Correction and Transformations for Big Data

Graphical Processing Units to Accelerate Orthorectification, Atmospheric Correction and Transformations for Big Data Graphical Processing Units to Accelerate Orthorectification, Atmospheric Correction and Transformations for Big Data Amanda O Connor, Bryan Justice, and A. Thomas Harris IN52A. Big Data in the Geosciences:

More information

Automotive Applications of 3D Laser Scanning Introduction

Automotive Applications of 3D Laser Scanning Introduction Automotive Applications of 3D Laser Scanning Kyle Johnston, Ph.D., Metron Systems, Inc. 34935 SE Douglas Street, Suite 110, Snoqualmie, WA 98065 425-396-5577, www.metronsys.com 2002 Metron Systems, Inc

More information

Computer Vision. Image acquisition. 25 August 2014. Copyright 2001 2014 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved

Computer Vision. Image acquisition. 25 August 2014. Copyright 2001 2014 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved Computer Vision Image acquisition 25 August 2014 Copyright 2001 2014 by NHL Hogeschool and Van de Loosdrecht Machine Vision BV All rights reserved j.van.de.loosdrecht@nhl.nl, jaap@vdlmv.nl Image acquisition

More information

Shearography in Quality Assurance and In- Field Service

Shearography in Quality Assurance and In- Field Service ECNDT 2006 - Mo.2.1.1 Shearography in Quality Assurance and In- Field Service Rainer HUBER, Roman BERGER, Steinbichler Optotechnik GmbH, Neubeuern, Germany Abstract. Shearography is a highly accurate optical

More information

BUILDING TELEPRESENCE SYSTEMS: Translating Science Fiction Ideas into Reality

BUILDING TELEPRESENCE SYSTEMS: Translating Science Fiction Ideas into Reality BUILDING TELEPRESENCE SYSTEMS: Translating Science Fiction Ideas into Reality Henry Fuchs University of North Carolina at Chapel Hill (USA) and NSF Science and Technology Center for Computer Graphics and

More information

Hartford, Connecticut

Hartford, Connecticut TENTH ANNUAL INTERNATIONAL GROUND VEHICLE COMPETITION Design Report ALVIN III Trinity College Hartford, Connecticut 1 STATEMENT FROM FACULTY This is to certify that ALVIN III has undergone significant

More information

Consolidated Visualization of Enormous 3D Scan Point Clouds with Scanopy

Consolidated Visualization of Enormous 3D Scan Point Clouds with Scanopy Consolidated Visualization of Enormous 3D Scan Point Clouds with Scanopy Claus SCHEIBLAUER 1 / Michael PREGESBAUER 2 1 Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria

More information

AUTOMOTIVE EXCELLENCE

AUTOMOTIVE EXCELLENCE PURCHASING/LOGISTIC Purchasing and logistics are sectors in which economic interests and technology typically meet and connect. Pepperl+Fuchs speaks both languages. Vehicle manufacturing begins when sheets

More information

New Features in TerraScan. Arttu Soininen Software developer Terrasolid Ltd

New Features in TerraScan. Arttu Soininen Software developer Terrasolid Ltd New Features in TerraScan Arttu Soininen Software developer Terrasolid Ltd Version 013.xxx Computer ID changes in licenses Send new computer ID to Terrasolid if using: Server pool licenses (server ID and

More information

Success Story. Pharmaceutical tablet packing and inspection

Success Story. Pharmaceutical tablet packing and inspection Pharmaceutical tablet packing and inspection Introduction Pharma Packaging Systems (PPS) based in Pershore, UK, specialise in packaging systems for the pharmaceutical industry. Primary business is design

More information

Application Example: Reverse Engineering

Application Example: Reverse Engineering Application Example: Reverse Engineering Use of optical measuring technology in the ceramics industry Measuring system: ATOS Keywords: Reverse Engineering, Tool and Moldmaking, Quality Assurance, Ceramic

More information

FSI Machine Vision Training Programs

FSI Machine Vision Training Programs FSI Machine Vision Training Programs Table of Contents Introduction to Machine Vision (Course # MVC-101) Machine Vision and NeuroCheck overview (Seminar # MVC-102) Machine Vision, EyeVision and EyeSpector

More information

What is An Introduction

What is An Introduction What is? An Introduction GenICam_Introduction.doc Page 1 of 14 Table of Contents 1 SCOPE OF THIS DOCUMENT... 4 2 GENICAM'S KEY IDEA... 4 3 GENICAM USE CASES... 5 3.1 CONFIGURING THE CAMERA... 5 3.2 GRABBING

More information

Introduction. C 2009 John Wiley & Sons, Ltd

Introduction. C 2009 John Wiley & Sons, Ltd 1 Introduction The purpose of this text on stereo-based imaging is twofold: it is to give students of computer vision a thorough grounding in the image analysis and projective geometry techniques relevant

More information

DAMAGED ROAD TUNNEL LASER SCANNER SURVEY

DAMAGED ROAD TUNNEL LASER SCANNER SURVEY University of Brescia - ITALY DAMAGED ROAD TUNNEL LASER SCANNER SURVEY Prof. Giorgio Vassena giorgio.vassena@unibs.it WORKFLOW - Demand analysis - Instruments choice - On field operations planning - Laser

More information

Alberto Corrales-García, Rafael Rodríguez-Sánchez, José Luis Martínez, Gerardo Fernández-Escribano, José M. Claver and José Luis Sánchez

Alberto Corrales-García, Rafael Rodríguez-Sánchez, José Luis Martínez, Gerardo Fernández-Escribano, José M. Claver and José Luis Sánchez Alberto Corrales-García, Rafael Rodríguez-Sánchez, José Luis artínez, Gerardo Fernández-Escribano, José. Claver and José Luis Sánchez 1. Introduction 2. Technical Background 3. Proposed DVC to H.264/AVC

More information

Wii Remote Calibration Using the Sensor Bar

Wii Remote Calibration Using the Sensor Bar Wii Remote Calibration Using the Sensor Bar Alparslan Yildiz Abdullah Akay Yusuf Sinan Akgul GIT Vision Lab - http://vision.gyte.edu.tr Gebze Institute of Technology Kocaeli, Turkey {yildiz, akay, akgul}@bilmuh.gyte.edu.tr

More information

LONG BEACH CITY COLLEGE MEMORANDUM

LONG BEACH CITY COLLEGE MEMORANDUM LONG BEACH CITY COLLEGE MEMORANDUM DATE: May 5, 2000 TO: Academic Senate Equivalency Committee FROM: John Hugunin Department Head for CBIS SUBJECT: Equivalency statement for Computer Science Instructor

More information

How To Get A Computer Science Degree

How To Get A Computer Science Degree MAJOR: DEGREE: COMPUTER SCIENCE MASTER OF SCIENCE (M.S.) CONCENTRATIONS: HIGH-PERFORMANCE COMPUTING & BIOINFORMATICS CYBER-SECURITY & NETWORKING The Department of Computer Science offers a Master of Science

More information

pb tec solutions GmbH, Max-Planck-Str. 11, 63755 Alzenau (Germany) Tel.: +49 6023 94771 0 Fax: +49 6023 94771 29 www.pbtecsolutions.

pb tec solutions GmbH, Max-Planck-Str. 11, 63755 Alzenau (Germany) Tel.: +49 6023 94771 0 Fax: +49 6023 94771 29 www.pbtecsolutions. pb tec solutions GmbH, Max-Planck-Str. 11, 63755 Alzenau (Germany) Tel.: +49 6023 94771 0 Fax: +49 6023 94771 29 www.pbtecsolutions.de info@pbtecsolutions.de Model Description AOI systems MV-3 MV-6E/EM

More information

Introducing PgOpenCL A New PostgreSQL Procedural Language Unlocking the Power of the GPU! By Tim Child

Introducing PgOpenCL A New PostgreSQL Procedural Language Unlocking the Power of the GPU! By Tim Child Introducing A New PostgreSQL Procedural Language Unlocking the Power of the GPU! By Tim Child Bio Tim Child 35 years experience of software development Formerly VP Oracle Corporation VP BEA Systems Inc.

More information

Automatic 3D Mapping for Infrared Image Analysis

Automatic 3D Mapping for Infrared Image Analysis Automatic 3D Mapping for Infrared Image Analysis i r f m c a d a r a c h e V. Martin, V. Gervaise, V. Moncada, M.H. Aumeunier, M. irdaouss, J.M. Travere (CEA) S. Devaux (IPP), G. Arnoux (CCE) and JET-EDA

More information