SL-2002-34 Introduction to Optical Inspection1. Introduction to Optical Inspection Helge Jordfald Sales & Marketing Manager Tordivel AS – Norway.

Slides:



Advertisements
Similar presentations
Laser Speckle Extensometer ME 53
Advertisements

1 Titre Tous droits réservés – Le contenu et les spécifications peuvent être modifiés sans avis préalable Digital process controller eNod3.
April 2004 page 1 Confidential and propietary CentraLine Portfolio c l o s e t o y o u.
Market introduction CellaTemp PA.  Newest interface technology  Latest high-resolution microprocessors  Newest sensors  New amplifier technology 
Scorpion Vision Software Product Overview Version 4.0 June 2004.
Spectrophotometer Jan 28, 2002 Deryck Hong Suryadi Gunawan.
7/24/031 Ben Blazey Industrial Vision Systems for the extruder.
Graftek Imaging, Inc. A National Instruments Alliance Member Providing Complete Solutions For Image Acquisition and Analysis.
3-D Computer Vision Using Structured Light Prepared by Burak Borhan.
Palletizing the Easy Way
Photonic technologies are very important and everywhere!
What Is Machine Vision? PreviousNext X. What Is Machine Vision? Formal definition: Machine vision is the use of devices for optical non- contact sensing.
Track, Trace & Control Solutions © 2010 Microscan Systems, Inc. Introduction to Machine Vision for New Users Part 1 of a 3-part webinar series: Introduction.
Automation and Drives Vision Sensor SIMATIC VS 110 Image processing without the need for specialist knowledge.
Festo AG & Co. KG, Esslingen
Introduction to Machine Vision Systems
ADAM-5000/TCP- Distributed Ethernet I/O
AUTOMATIC VISUAL INSPECTION OF ZIRCONITE BLOCKS. raw zirconite blocksfinished zirconites Zirconite blocks : the problem Raw zirconite blocks are polished.
Optical Fibers Jonathan Perez MEEN What are Optical Fibers? Long thin strands of very pure glass about the diameter of a human hair. They are arranged.
Temperature Controller DT3 Series & Delta Machine Vision Automation for a Changing World.
Development of Web-Based E-Quality Control System Principal Investigators: Drs. Richard Chiou and Yongjin Kwon Research Assistants: Prathaban Mookiah and.
Real Time Ultrasound Camera for Industrial Applications Bob Lasser Imperium, Inc. Beltsville, MD.
1 Image Basics Hao Jiang Computer Science Department Sept. 4, 2014.
Comparing Regular Film to Digital Photography
Navi Rutgers University 2012 Design Presentation
LASER AND ADVANCES IN METROLOGY
1 Glass Inspection Machine. 2 To be the Leader by innovating Thanks to a good knowledge of the needs of the glass industry, Our aim is to set a new standard.
Leica Microsystems Company Overview
IPD Technical Conference February 19 th 2008 Friction Roller Identification Jack Weatherford Hermitage Automation & Controls.
Bit-Mapped Graphic Data: Input (Capture) Hardware Multimedia – Section 2.
IPD Technical Conference February 19 th 2008 Application: Juice Box Web Slitting Application – Monitor and Verify Crease to Knife Cut Edge Position. Distributor:
CCTV Camera Component and Technology Imaging sensor Optic - Lens Camera Technology IP vs analogue CCTV Uniview IPC features Fundamental of CCTV.
NSF Engineering Research Center for Reconfigurable Manufacturing Systems University of Michigan College of Engineering Reconfigurable System for Turbine.
How to startpage 1. How to start How to specify the task How to get a good image.
1. 2 Vision + Robot = Flexible Automation 3 Flexible Automation The vision about robots, vision and automation handling many products variants on a running.
Industrial Vision Industrial Vision: components.
1 Getting Started Exercise Part 1. 2 Profiles related to the exercise When starting use archive profile: GettingStarted_Start.zip The fully completed.
Embedded Design Using ARM For Strong Room Security System
Development of a laser slit system in LabView
IPD Technical Conference February 19 th 2008 Application: Pipette Measurement and Flash Inspection. Distributor: CPU Automation Engineer: Mike Bray.
Machine Vision Introduction to Using Cognex DVT Intellect.
LECTOR®65x Image-based Code Reader– Market Launch
Principles of Information Technology Module 4 Test Review Peripheral Devices.
1 Machine Vision. 2 VISION the most powerful sense.
SL a Introduction to Scorpion 4.0 June 12,2005 Page 1.
Introduction to Image Processing. What is Image Processing? Manipulation of digital images by computer. Image processing focuses on two major tasks: –Improvement.
Innovative, High Resolution Imaging Techniques Applied to the Inspection of Parcels and Packages.
Mountaintop Software for the Dark Energy Camera Jon Thaler 1, T. Abbott 2, I. Karliner 1, T. Qian 1, K. Honscheid 3, W. Merritt 4, L. Buckley-Geer 4 1.
Software Engineering Lecture 8: Quality Assurance.
1 Teaching Innovation - Entrepreneurial - Global The Centre for Technology enabled Teaching & Learning, N Y S S, India DTEL DTEL (Department for Technology.
Center line content PLB-500 VISION SYSTEM PART LOCALIZATION FOR BIN PICKING.
The application of Automated Optical Inspection Helge Jordfald Sales & Marketing Manager Tordivel AS, Norway.
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
Leuze electronic | LES | LES 36 Line Edge Sensor Features Long range mm in depth (z) up to 600mm in width (x) Flexible 4 measurement fields,
Microscopes Their types and uses.
Non-Contact Inspection of Internal Threads of Machined Parts
Vision Application Checklist. Collect Key Information ■ Don’t waste time chasing bad opportunities ■ Streamlines communication flow ■ Don’t know what.
SMART CAMERAS AS EMBEDDED SYSTEM SMVEC. SMART CAMERA  See, think and act  Intelligent cameras  Embedding of image processing algorithms  Can be networked.
Linescanner MP150 Infrared Temperature Measurement for Quality Control and Process Automation Raytek Confidential 10/2010, Rev. B.
Vision Application Checklist
Vision Application Checklist
Digital Light Sources First introduced in 2001.
AFGM Conference in Chiang Mai 2007
VIVOTEK 2007 Product Roadmap
Propeller Clock.
Introducing: Cytation™3 Cell Imaging Multi-Mode Reader
Presentation of Vision System
To change picture – with LCD view.
Digital Print Finishing
Presentation transcript:

SL Introduction to Optical Inspection1

Introduction to Optical Inspection Helge Jordfald Sales & Marketing Manager Tordivel AS – Norway

SL Introduction to Optical Inspection3 Content Why Automated Optical Inspection? How does it work?

SL Introduction to Optical Inspection4 Why Automated Optical inspection? To improve production and reduce cost through: Quality Control Flaw detection Yield Management Factory Automation

SL Introduction to Optical Inspection5 Alternatives Manual Control Sample Control Mechanical Control Photo Sensor Control No Control

SL Introduction to Optical Inspection6 Manual versus Automated Manual Inspection –Varies over time and with different persons –Monotonous work Automated Optical Inspection –Fixed quality over time –High speed –Traceability and documentation

SL Introduction to Optical Inspection7 Quality Control Zero faults to customers –100% control instead of sample control –Objective and constant quality control Use Vision Control as sales argument

SL Introduction to Optical Inspection8 Flaw Detection Reduce added value to defective parts –Identify and remove products with flaw early in the production line –Use several inspection station –Reduce materiel consumption –Increase your production capacity

SL Introduction to Optical Inspection9 Yield Management Monitor changes in production performance Do corrections before the yield is reduced Real time statistics and trends

SL Introduction to Optical Inspection10 Flexible Automation Increase production efficiency and flexibility by: –Automatic guiding of robots for picking and packing products –Automatic product sorting and program selection Reduce inspection costs Improve Health, Environment and Safety –Automate heavy and monotonous manual job functions

SL Introduction to Optical Inspection11 How does it work? System components Resolution and tolerances Basic image processing techniques Magic?

SL Introduction to Optical Inspection12 Basic system Standard PC One or more cameras Illumination Mounting system and protection for light and cameras Communication interface to Control System

SL Introduction to Optical Inspection13 The Optical System Camera –CCD array, Line camera, Area camera –Analogue or Digital signal transmission Lenses –Adapted to the individual applications An Optical System –A picture of a physical area (FOV = Field Of View) –With a specified resolution –With a minimum of optical distortion (compromise)

SL Introduction to Optical Inspection14 Illumination The key to a good and reliable Vision system An increasing number of specialised lighting sources for different applications –Fiber, LED, Laser –On-Axis, Cloudy Day, Darkfield Selection of lighting source – a job for experts

SL Introduction to Optical Inspection15 Communication with the production line Logical –Trigger – Take image –Answer – Result Physical - Electrical –24 volt isolated –RS-232, Ethernet – tcp/ip Protocols to robot, PLC and web TDVCmdProtocol – RS TCP/IP OPC – ip – profibus (PLC and PC systems)

SL Introduction to Optical Inspection16 Graphical User Interface

SL Introduction to Optical Inspection17 Process insight

SL Introduction to Optical Inspection18 Documentation

SL Introduction to Optical Inspection19 Camera - Field of View Piksels in X direction Pixels in Y direction

SL Introduction to Optical Inspection20 Grey scale pictures Original Greyscale Pixel grid

SL Introduction to Optical Inspection21 Pixel resolution VGA Camera –640 x 480 pixels FOV: 5mm x 5mm –Resolution ca. 0,01mm FOV: 50mm x 50 mm –Resolution ca. 0,1mm FOV: 500mm x 500mm –Resolution ca. 1 mm High Res. Camera –1024 x 768 pixels FOW: 5mm x 5mm –Resolution ca. 0,005mm FOW: 50mm x 50 mm –Resolution ca. 0,05mm FOW: 500mm x 500mm –Resolution ca. 0,5 mm

SL Introduction to Optical Inspection22 Example - Pixel Resolution

SL Introduction to Optical Inspection23 Gauging Intensity level variations along the line. Simple gauging of distance Measure the distance between two intensity levels

SL Introduction to Optical Inspection24 Improving the result FilteringUsing geometry

SL Introduction to Optical Inspection25 Calibration Transforming pixel to a dimensional unit (mm) Corrections for distortion in the optical system (camera and lens) Using GRID Calibration only related to one measurement plane Scorpion Vision Software can be calibrated in many planes

SL Introduction to Optical Inspection26 Other advantages using Calibration Large ObjectsPerspective 50 cm Camera

SL Introduction to Optical Inspection27 How to build an inspection Perform and validate a number of ”simple” measurements –Dimension –Lines –Greyscale values – colour A set of these measurements are combined to identify specific Conditions

SL Introduction to Optical Inspection28 Image processing example 1.Distance calculated with NearestPointOnLine Tool 2.Based on Calibration tool result directly presented in mm 3.Measurement resolution: better than 0,01 mm 4.Measurement tolerance: estimated to 0,05 mm

SL Introduction to Optical Inspection29