Excerpt of MIR Future Trends in Machine Vision 2011

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Excerpt of MIR Future Trends in Machine Vision 2011

  1. 1. Market Intelligence Report (MIR) Excerpt of the Market Report „Future Trends in Machine Vision“All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the author.This prohibition includes copying by a firm for its internal use. © 2011 by AMC HofmannFor further information please contact us under sales@amc-hofmann.com . Future Trends in Machine Vision 2011 TECHNOLOGIES USER REQUIREMENTS
  2. 2. MIR Future Trends in Machine Vision 2011TABLE OF CONTENTS1. Introduction ...................................................................................................................................3 Why this Report? .................................................................................................................................... 3 Goals of the market report ...................................................................................................................... 3 Industries involved .................................................................................................................................. 4 Analysis in this report.............................................................................................................................. 5 Generation of data - Research ................................................................................................................ 5 Definition of used terms .......................................................................................................................... 72. Report Summary Future Trends ...................................................................................................8 Introduction ............................................................................................................................................ 8 Companies involved ............................................................................................................................... 9 Technologies ........................................................................................................................................ 11 User Requirements............................................................................................................................... 12 Outlook ................................................................................................................................................ 133. Machine Vision Technologies – Future Trends .........................................................................14 Technologies - Overview ...................................................................................................................... 14 Machine Vision Technologies................................................................................................................ 17 Camera dynamic range............................................................................................................................................... 17 Computational Cameras ............................................................................................................................................. 18 Real time detection & moving Parts ........................................................................................................................... 20 Use of color Information .............................................................................................................................................. 21 Analysis of point clouds .............................................................................................................................................. 22 Increase in Camera resolution .................................................................................................................................... 23 Cloud Computing for Machine Vision ......................................................................................................................... 24 Vision System integrated into the “Robot Controller”................................................................................................. 254. User Requirements – Future Trends ..........................................................................................26 User requirements - Overview ............................................................................................................... 26 User Requirements............................................................................................................................... 29 User Interface / MMI.................................................................................................................................................... 29 Processing speed ........................................................................................................................................................ 30 Datamining / SPC ........................................................................................................................................................ 31 System accuracy ......................................................................................................................................................... 32 System reliability and robustness ............................................................................................................................... 33 Miniaturization of components .................................................................................................................................... 34 Price / performance ratio............................................................................................................................................. 35 Responsiveness of supplier to application specific requests .................................................................................... 36 Responsiveness of supplier to service and support requests ................................................................................... 37Appendix A, Vendor Listing in alphabetical order.........................................................................38Appendix B, SOURCES...................................................................................................................50 Copyright ............................................................................................................................................. 53©AMC Hofmann Automation – Market – Competence Page - 2 -
  3. 3. MIR Future Trends in Machine Vision 2011 1. INTRODUCTIONWHY THIS REPORT?Discussions with vendors and users of automation technologies about their needs for information has shown thatin addition to that valuable information available in our Market Intelligence Reports about the markets andapplications, some further future orientated technological topics would be of interest.To meet those requirements two main sections are addressed in this report: Machine Vision Technologies User RequirementsThe content selected for those topics is a direct result of many discussions with end users and vendors ofMachine Vision and vision based automation equipment.The Market Intelligence Report (MIR) “Future Trends in Machine Vision” therefore is focused on these topics,showing information on important trends collected from more than 90 companies being active in Machine Vision,most of them with a strong expertise in guidance and robot vision.GOALS OF THE MARKET REPORT Provide an overview and show a “big picture” of the report´s topics as it is not available from other sources. Provide Market Intelligence, analysis and suggestions, based on data provided by a large number of key market players. Provide an overview and outlook on trends in Machine Vision and related industries and applications where “vision” is used. Keep you up to date on the current status and inform you on new interesting topics. Provide information and contact data on vendors, suppliers and other sources for further information.©AMC Hofmann Automation – Market – Competence Page - 3 -
  4. 4. MIR Future Trends in Machine Vision 2011INDUSTRIES INVOLVEDIn order to get a complete overview of possible trends, applications and needs, the following industries have beeninvolved in the survey. Aerospace Entertainment Paper Agricultural & Forrestry Food Pharmaceuticals Automotive Foundry Photovoltaic o BIW & Press shop Glass Plastics o Assembly Lab Automation Recycling o Logistics Life Science Service Robotics o Powertrain Logistics & Transportation Security & Surveillance o Paint shop Medical Engineering Textile o Tier 0.5 & Tier 1 Medical & Health Care Wind Energy Beverage Metal Processing Wood Ceramics Military & Defense Consumer Goods Mining Electronics & Semiconductor Packaging©AMC Hofmann Automation – Market – Competence Page - 4 -
  5. 5. MIR Future Trends in Machine Vision 2011ANALYSIS IN THIS REPORTAnalysis of the data requires a clear understanding of the sources and where they come from. Therefore eachcompany was classified by three parameters. Industry, where active Core Competence (Technology) Regions, where activeIn order to have the information represented best, multiple selections were possible and allowed.Questioning companies being active in many different industries brings the benefit to get a very broad informationbase, but makes it necessary to take a deeper look at the sources of the information to get a clear understandingon the results and conclusions.Counting votes: In several statistics company votes can be counted several times when they are active in several industries, regions or markets. Same with the core competence of a company. When having core competence in robotics, Machine Vision and system integration their vote is counted in each section. Overall statistics on such a topic where all attending companies are counted would show only one vote of this company.GENERATION OF DATA - RESEARCHData used: All information used is either public or provided and submitted by the companies included in thesurvey. Therefore the correctness of the information is obliged to these sources. Data comprised in the report hasbeen mainly generated by direct interviews conducted with the leaders in this field of automation. Additionally, theresults of further research with a variety of sources such as internet, trade shows, presentations, publications andconferences have been included in order to complete a very thorough and comprehensive overview.The survey: Companies attending the survey have been asked to rate all topics shown in this repor, based on expected future potential for growth. Available ratings have been: None Low Average High Multiple selections have not been allowed.©AMC Hofmann Automation – Market – Competence Page - 5 -
  6. 6. MIR Future Trends in Machine Vision 2011Data handling and analysis within the tables and charts: Due to the fact that not all information or statements were always given by all of the companies, adding the numbers in the charts does not necessarily add up to 100%Note: In order to give a broad and complete overview information provided in this report are not limited to the information of the questionnaires. Material available in form of presentations or from websites is added as well. All sources used are listed in the appendix.Methods: Data generation of information was done by the following methods Web research Literature research Direct personal communication with vendors and end users Questionnaires sent out to vendors Questionnaires sent out to end usersGeography: In order to get an international overview, companies from the following regions have been involvedin this survey: Europe North America Australia & New Zealand Asia India RussiaConfidentiality: All information / data published in this report has either been confirmed and publicly releasedby the providing companies for publishing in this report or derived from public sources.©AMC Hofmann Automation – Market – Competence Page - 6 -
  7. 7. MIR Future Trends in Machine Vision 2011DEFINITION OF USED TERMSMany times terms are used in different ways. To avoid misunderstanding please read the following definitions.Detection unit- For this report “detection unit” is defined as the unit generating image information. The detectionunit can consist of a full set- up of illumination and optics, combined with a single sensor, several sensors or aset-up of a scanner and single cameras.OEM- Abbreviation for „original equipment manufacturer“. However, car manufacturers refer also to themselvesas OEM. In this report the term OEM is used to describe automation equipment manufacturers, including machinebuilders, with a high degree of standardization. A robot manufacturer for example would be an OEM.Sensor- is generically used in this report to describe the various kinds of optical units integrated within onehousing. This includes the entire range from simple standard sensors to stereo-optic and triangulation sensors.T0.5 & T1- Tier 0.5 & Tier 1 are terms specifying key automotive suppliers, classified into 0.5, 1 and 2 dependingon their scope of delivery and the extent of involvement in the processes and in the research and developmentdone by the car manufacturers.Powertrain- Powertrain is the term for automotive manufacturing of parts that are used in underbody frame andengine and transmission. Powertrain includes the car manufacturers´ facilities as well as the Tier Supplier.Random bin picking- Random bin picking many times is used instead of bin picking to indicate that the goods ina bin are without any known or defined orientation.UAV- Unmanned Aerial Vehicle guided either by on board sensors and processors or guided remotely through aman-machine interface.UGV- Unmanned Ground Vehicle, guided either by on board sensors and processors or guided remotely througha man-machine interface.General Industries- Especially companies supplying equipment to “industry” classify and structure theindustries. Due to the large amount of industries many vendors structure is based on their business and theirfocus. In many cases the term General Industries is used to describe and summarize many industries that are notcovered by the other industries classified. So General Industries includes different content depending on thecompany you are talking to.Robot Vision- The term Robot Vision depends on the terms Robot and Vision (for Machine Vision). This bringsus to the question - what is the definition of a robot? Pictures below show some vehicles and mechanicaldevices named as robots.To come to a common understanding and conclusion on what is a robot here is the explanation from Wikipedia:“A robot is a mechanical contraption which can perform tasks on its own, or with guidance.”So the definition of Robot Vision, within our reports, is based on this definition which remains a little fuzzy. RobotVision is the automated guidance of a robot, handling device or moving vehicle- guidance can be by MachineVision technology but need not be limited to that. Other technologies for example radar or ultrasonic technologycan be used as well.©AMC Hofmann Automation – Market – Competence Page - 7 -
  8. 8. MIR Future Trends in Machine Vision 2011 2. REPORT SUMMARY FUTURE TRENDSINTRODUCTIONWhen I started in Machine Vision in 1996 at Cognex Corporation, Machine Vision was a great new world ofinteresting visions and opportunities.Trying to explain what Machine Vision is, I used to summarize that it is the optical, camera based technology forautomated inspection and guidance. My explanation was always to describe that nearly everything around us hascome into contact with Machine Vision during it´s production. The tooth brush and the shampoo you are using inthe morning, the cookies, eggs and all the packaging you are having on your breakfast table. The car you areusing to go to work, even the ticket you are getting for driving too fast is connected to Machine Vision in the oneor the other way.Today, almost 15 years later, looking back to all the “Visions”we had in the 90´s, many of them became real – evenstandard. In addition many new “visions” have been born andgrew into new dimensions.Looking for a nice picture for “Future User Interface” for thisreport I found many named as “Minority Report Interface”- theone used by Mr. Tom Cruise. A movie – still a vision?Outside the world of so called “Industrial Machine Vision”drones are patrolling in the sky, UGV´s are used to explorethe deep sea and repair oil lecks and a mowing robot hasbecome our favorite Christmas present.Miniaturized components are used for surgeries inside ourbody. Advanced algorithms are used to classify cancer andidentify human faces in Facebook.So you see the explanation for “Machine Vision” stilldescribes great many different applications around us –however, the Machine Vision technologies already have Picture, from movie Minority Reportconquered many fields outside the “typical” industrial fields.In the last 15 years prices of components went down, but labor cost either increased or stayed the same.Therefore it was necessary also to work on the “ease of use” for the standardization of components, interfacesand MMI. Vendors, who were not typical Machine Vision companies entered into the Machine Vision. Thosecompanies came up with user friendly, easy to use and inexpensive products for many applications, enablingautomation companies and end- users to install and set- up these solutions by themselves.Machine Vision is influenced increasingly by trends and technologies becoming available from consumer markets.This “evolution” is on-going. In the early times special hardware was needed and image information needed to bereduced in order to get acceptable processing times. Today powerful hardware and sophisticated algorithms areavailable at relatively low cost.Many changes that were expected did happen – others didn´t or we are still waiting for breakthroughs.Looking from today back on the last 20 years but also ahead into the near future, it is obvious that the world ofMachine Vision offers enough space and opportunities for many different technologies, products and vendors.©AMC Hofmann Automation – Market – Competence Page - 8 -
  9. 9. MIR Future Trends in Machine Vision 2011This report is about several of these hot topics being discussed today especially when related to roboticautomation. Interestingly two of those topics “Cloud Computing for Machine Vision “ and “ComputationalCameras” have been the center of key level speeches at last EMVA conference in Amsterdam in May 2011.During this conference Ramesh Raskar, Associate Professor at MIT Media Lab, was talking about the 10thdimension and looking around a corner to explain computational cameras. Others are looking for thecomputational power for processing large number of data for full 3D in “the Cloud” (the one Mr. Jobs recentlydeclared as our future for data storage and processing).Reason enough to create this Report and present useful information for everybody active or interested in FutureTrends in Machine Vision, but has never been at MIT.COMPANIES INVOLVEDIn order to give broad overviews, provide new information and see trends coming down the road from other“industries”, the companies involved in the report represent different core competences emerging in differentregions and many industries as well.In addition to the company types shown in the chart below, the views of end users are of high importance for ourreports. Before starting a new project the content is first discussed with end users relevant for the topic. Within thesurvey end users are questioned as well. Due to the fact that the end users typically do not want to be listedwithin the reports we respect that but do use and count their suggestions and input.The chart below shows the fields of business named as core competence by the vendors involved. Core competence of the Companies 100% 88,9% 90% 80% 70% 60% 52,2% 53,3% 50% 41,1% 40% 30% 20% 15,6% 7,8% 10% 0% Machine Robotics & System Machine Automation Line Vision Positioning Integration Building Building As already recognized in other reports we see again the strong commitment of “automation vendors” to Machine Vision. More and more companies having their roots outside Machine Vision have now made it one of their core competences.©AMC Hofmann Automation – Market – Competence Page - 9 -
  10. 10. MIR Future Trends in Machine Vision 2011Chart below shows the regions where the vendors are active and present. The numbers do not differentiatebetween legal entities of a company and representatives or partners. Regions where vendors are present and active Australia / Oceania 22,1% Russia 25,0% India 32,1% Japan 29,1% China 36,6% Middle East / Africa 21,3% South America 37,8% North America 63,1% Southern Europe 57,8% Central Europe 59,3% Western Europe 63,4% Northern Europe 67,5% Germany, Austria, Switzerland 77,9% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%©AMC Hofmann Automation – Market – Competence Page - 10 -
  11. 11. MIR Future Trends in Machine Vision 2011TECHNOLOGIESWithin the survey companies where asked about their expectation of several topics for the near future of MachineVision / Robot Vision. The topics that have been addressed were collected from discussions with users andvendors of Machine Vision and automation equipment and solutions. Technology Topics that have been addressed within the survey : Increase in camera dynamic range Computational cameras Real- time detection, moving objects Use of color information Analysis of point clouds Increase in camera resolution Cloud Computing for Machine Vision Vision system integrated into the “robot controller” Participating companies rated the topics in one of the four categories: Low Average High None Multiple selections have not been allowed "High" rating for Technologies Increase in camera dynamic range 31% Computational cameras 31% Real- time detection, moving objects 50% Further system / product price reduction 43% Use of color information 39% Analysis of point clouds 46% Increase in camera resolution 24% Cloud computing for Machine Vision 19% Vision system integrated into the "Robot Controller" 55% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% The analysis of point clouds as a topic strongly dedicated to 3D imaging gets one of the highest rankings with 46% of the votes. The Integration of vision systems into robot controllers is a topic for many years and already utilized by several companies, but it remains a very important topic for the future (55%). Real- time detection / tracking of moving parts is ranked high by 50% of the participants.©AMC Hofmann Automation – Market – Competence Page - 11 -
  12. 12. MIR Future Trends in Machine Vision 2011USER REQUIREMENTSWithin the survey companies where asked about their expectation of several topics related to user requirementsfor the near future of Machine Vision / Robot Vision. The topics that have been addressed were collected fromdiscussions with users and vendors of Machine Vision and automation equipment and solutions. User Requirements that have been addressed : User Interface / MMI Processing speed Data mining SPC System accuracy System reliability and robustness Miniaturization of components Price / performance ratio Responsiveness of supplier to application specific requests Responsiveness of supplier to service and support requests Participating companies rated the topics in one of the four categories: Low Average High None Multiple selections have not been allowed "High" rating of User Requirements Responsiveness of supplier to service and support requests 42% Responsiveness of supplier to application specific requests 59% Price / Performance ratio 62% Miniaturization of components 13% System reliability / robustness 74% System accuracy 58% Data mining & SPC 10% Processing speed 51% User Interface 66% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% System reliability and robustness, the user interface, and the price / performance ratio got the highest rating for “High Potential” overall. Most of the topics addressed do have relatively high ratings. Only data mining and the miniaturization of components are rated relatively low.©AMC Hofmann Automation – Market – Competence Page - 12 -
  13. 13. MIR Future Trends in Machine Vision 2011OUTLOOKMachine Vision traditionally was focused on the industrial markets. Looking back to the 90´s market leadingvendors used this message in their naming such as “Cognex - Vision for Industry”. In the last years the MachineVision business changed. It is developing more and more into other markets and applications outside thetraditional industrial business.At the same time technologies and trends from other industries, especially consumer electronic marketsinfluenced the Machine Vision business and helped to open new areas in the traditional industrial markets.In the moment we see the world become 3- dimensional – a trend that is pushed from several directions: MachineVision, industrial measurement and consumer markets such as gaming and video entertainment as well. This isonly one example showing how things come together, influencing the whole business, changing markets and theirvendors.Therefore it is of high importance to monitor all these developments and changes in technologies and markets.Market Intelligence Reports help you to keep track, be prepared and stay on top of these changes anddevelopments.©AMC Hofmann Automation – Market – Competence Page - 13 -

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