ORIFICE MEASUREMENT VERISENS APPLICATION DESCRIPTION: REQUIREMENTS APPLICATION CONSIDERATIONS RESOLUTION/ MEASUREMENT ACCURACY. Vision Technologies

Similar documents
Imaging Optics Fundamentals

MML-High Resolution 5M Series

Using Optics to Optimize Your Machine Vision Application

APPLICATIONS FOR TELECENTRIC LIGHTING

Machine Vision Basics

The Xiris Glossary of Machine Vision Terminology

Speed and Image Brightness uniformity of telecentric lenses

Machine Vision for the Life Sciences

Exercise questions for Machine vision

Parallel Mode Confocal System for Wafer Bump Inspection

Camera Overview. Digital Microscope Cameras for Material Science: Clear Images, Precise Analysis. Digital Cameras for Microscopy

Optics: An Introduction

Optical basics for machine vision systems. Lars Fermum Chief instructor STEMMER IMAGING GmbH

DATAVS2 series.

Overview: Integration of Optical Systems Survey on current optical system design Case demo of optical system design

True 2 ½ D Solder Paste Inspection

Applying Automated Optical Inspection Ben Dawson, DALSA Coreco Inc., ipd Group (987)

Advanced 3D Optical Profiler using Grasshopper3 USB3 Vision camera

Camera Overview. Digital Microscope Cameras for Material Science: Clear Images, Precise Analysis. Digital Cameras for Microscopy

Crystal Nucleation Control Using Microscopic Online Imaging

Versatile Camera Machine Vision Lab

TECHSPEC COMPACT FIXED FOCAL LENGTH LENS

REPLICATING HUMAN VISION FOR ACCURATE TESTING OF AR/VR DISPLAYS Presented By Eric Eisenberg February 22, 2018

How does prism technology help to achieve superior color image quality?

CircumSpect TM 360 Degree Label Verification and Inspection Technology

The Elegance of Line Scan Technology for AOI

Camera Overview. Digital Microscope Cameras for Material Science: Clear Images, Precise Analysis. Digital Cameras for Microscopy

ROBOT VISION. Dr.M.Madhavi, MED, MVSREC

XM: The AOI camera technology of the future

IMPROVING AUTOMOTIVE INSPECTION WITH LIGHT & COLOR MEASUREMENT SYSTEMS

Product Requirements Document: Automated Cosmetic Inspection Machine Optimax

GlassSpection User Guide

General Imaging System

Chapter 25 Optical Instruments

VISOR Color. Vision sensor for the most precise object detection. made in Germany HIGHLIGHTS OF THE VISOR COLOR

INTRODUCTION TO VISION SENSORS The Case for Automation with Machine Vision. AUTOMATION a division of HTE Technologies

Practical Image and Video Processing Using MATLAB

FSI Machine Vision Training Programs

SIEVE CERTIFICATION SYSTEM

Opto Engineering S.r.l.

VISION. DataVS2 DATAVS2

BIG PIXELS VS. SMALL PIXELS THE OPTICAL BOTTLENECK. Gregory Hollows Edmund Optics

A Micro Scale Measurement by Telecentric Digital-Micro-Imaging Module Coupled with Projection Pattern

ALMALENCE SUPER SENSOR. A software component with an effect of increasing the pixel size and number of pixels in the sensor

An Introduction to Automatic Optical Inspection (AOI)

A LATERAL SENSOR FOR THE ALIGNMENT OF TWO FORMATION-FLYING SATELLITES

ScrappiX. Visual inspection equipment for dimensional. and surface defects control

Thresholding Technique for Document Images using a Digital Camera

OPTIV CLASSIC 321 GL TECHNICAL DATA

Differences Between the A101f/fc and the A102f/fc

Smart_Projector. The Next Generation Profile Projector. State-of-the-art Video Measuring Machine NEW 2015 VERSION. 10 Mpx Industrial Camera

APPLICATIONS OF HIGH RESOLUTION MEASUREMENT

AUTOMATED INSPECTION SYSTEM OF ELECTRIC MOTOR STATOR AND ROTOR SHEETS

STRUCTURE OF THE MICROSCOPE

COLOR CONTRAST AND LUMINESCENCE SENSORS

AUTOMATIC NUMBER PLATE DETECTION USING IMAGE PROCESSING AND PAYMENT AT TOLL PLAZA

Olympus LEXT OLS 4000 Confocal Laser Microscope

Understanding Infrared Camera Thermal Image Quality

Optical design of a high resolution vision lens

The Challenge of. SYSTEMS FOR MACHINE VISIONComplexity. Pioneering vision.

Continuous Wave Laser Illumination: The Clear Choice over Thermal Imaging for Long-Range, High-Magnification Night Vision Perimeter Protection

Improving the Collection Efficiency of Raman Scattering

DATAVS2 series.

High Resolution Imaging for DMLS Inspection

SIL for improved sensitivity and spatial resolution

TECHNICAL DATA. OPTIV CLASSIC 322 Version 3/2013

COTTON FIBER QUALITY MEASUREMENT USING FRAUNHOFER DIFFRACTION

Distance Estimation with a Two or Three Aperture SLR Digital Camera

INSPECTION SENSORS SVS2 SERIES VISION SENSORS HIGHLIGHTS APPLICATIONS

ROAD TO THE BEST ALPR IMAGES

Automated Solutions for SAE Standard HUD Measurement

LPR SETUP AND FIELD INSTALLATION GUIDE

SIGMA 17-70mm F2.8-4 DC MACRO OS HSM 17-70mm F2.8-4 DC MACRO HSM

smart_projector State-of-the-art Video Measuring Machine

Smart Camera. FHV7 Series. The flexibility meets ever-changing needs

Optimizing throughput with Machine Vision Lighting. Whitepaper

There is a range of distances over which objects will be in focus; this is called the depth of field of the lens. Objects closer or farther are

Kye-Si Kwon and Steven Ready Practical Guide to Machine Vision Software

Tips for a correct functioning of Face Recognition technology. FacePhi Face Recognition.

1. Redistributions of documents, or parts of documents, must retain the SWGIT cover page containing the disclaimer.

EC-433 Digital Image Processing

ivu Series TG Image Sensor

Introduction. Lighting

Revisions to ASTM D7310 Standard Guide for Defect Detection and Rating of Plastic Films Using Optical Sensors

Optical Components for Laser Applications. Günter Toesko - Laserseminar BLZ im Dezember

Glossary of Terms (Basic Photography)

SECTION 2. VISUAL INSPECTION

VISOR object sensor In a class of its own.

Background. Computer Vision & Digital Image Processing. Improved Bartlane transmitted image. Example Bartlane transmitted image

SIGMA mm F DC MACRO OS HSM mm F DC MACRO HSM

INDUSTRIAL APPLICATION OF MACHINE VISION

because inspection matters

The Human Eye and a Camera 12.1

Lens Impact Resistance Testing Plan Revised,

Vision Sensors Inspector. The intelligent vision solution in an easy-to-use sensor package.

Lecture Outline Chapter 27. Physics, 4 th Edition James S. Walker. Copyright 2010 Pearson Education, Inc.

Laser Scanning for Surface Analysis of Transparent Samples - An Experimental Feasibility Study

How to Choose a Machine Vision Camera for Your Application.

Focus on an optical blind spot A closer look at lenses and the basics of CCTV optical performances,

Thermography. White Paper: Understanding Infrared Camera Thermal Image Quality

Transcription:

VERISENS APPLICATION DESCRIPTION: ORIFICE MEASUREMENT REQUIREMENTS A major manufacturer of plastic orifices needs to verify that the orifice is within the correct measurement band. Parts are presented to the VeriSens vision sensor and the sensor measures the area (corresponding to flow) of the plastic orifice. FIGURE 1: PART Figure 1 is a picture of the part. It is approximately 1 7/8 in diameter, approximately ¼ thick with an orifice in the center that should be approximately.0030 in diameter. APPLICATION CONSIDERATIONS RESOLUTION/ MEASUREMENT ACCURACY The inspections were performed with a VeriSens with a 1.5 Megapixel sensor. Pixel resolution is 1280 x 960. We make a distinction between a measurement application and one of gauging. As an on-line measurement application, cost considerations led to the use of a standard C-mount lens as opposed to microscope-type (cost factor approximately a factor of 12x for the microscope) optics, which would certainly provide more than adequate magnification. The Field of View (FOV) as tested is approximately 1¼. Therefore, the pixel resolution is approximately.00125 with equivalent measurement accuracy (regarding accuracy: a telecentric lens would improve accuracy ay an approximate 3x cost increase). Page 1 of 9

LIGHTING Figure 2 illustrates the lighting technique used in this application, back lighting. That is, the part is located between the light source and the sensor so as to present a silhouette. In this case, light shines through the orifice allowing its measurement (See Figure 3). In actual production, the parts would be located in open nests with a red LED backlight located beneath them. OPTICS This preliminary test indicates that standard optics should be adequate to perform this inspection. A C-mount lens for this application is in the $400 FIGURE 2: BACKLIGHTING range. A microscope lens, which would improve accuracy, is in the $5000 range. A telecentric lens, which would improve accuracy, is in the $1200 range. We suggest that a sample set of parts be run using a standard lens. If the results prove to be inadequate, then other lens options could be considered. INSPECTION METHODOLOGY Figures 4 through 7 illustrate the inspection methodology. It is fairly straightforward consisting of only one software operations. After the image is acquired, a trigger prompts the VeriSens to acquire an image and the Area Tool is used to measure the area of the orifice. The Figures illustrate the measurement executions, shown in the Image Window with the green tools indicating that a previously taught value was successfully obtained. Note the measurement values in the Results Window. These values are in pixels, but could be transformed into millimeters if desired. FIGURE 3: TEST SETUP Page 2 of 9

FIGURE 4: PART 1,.00131 PASS Figures 4 and 6 illustrate what happens conforming part is introduced to the VeriSens sensor. Note the Results Window. Page 3 of 9

FIGURE 5: PART 2,.00175 FAIL Figures 5 and 7 illustrate non-conforming parts. Again, note the Results Window. Page 4 of 9

FIGURE 6: PART 3,.00129 PASS Page 5 of 9

FIGURE 7: PART 4,.00203 FAIL. CONCLUSION This inspection can be performed successfully provided the following criteria are met: 1) Parts must be backlit. 2) Orientation of the camera relative to the orifice is important 3) Additional considerations are a red LED and possibly an upgraded lens. Page 6 of 9

CONTACT Baumer,Ltd. USA Pete Kepf, Field Application Engineer pkepf@baumer.com 865-518-1985 Page 7 of 9

GLOSSARY Back Lighting Lighting technique in which the part is positioned between the light source and the camera resulting in a silhouette Contrast Measured in grayscale (Black = 0; white = 255). A minimum contrast must be present in order to differentiate a feature from its background. Feature Extraction The ability of machine vision software to separate a feature from its background and determine some attribute (area, brightness, etc.) Camera Front (or Top) Lighting Lighting technique in which the light source and the camera are on the same side of the part to be inspected. Light Source Part Optical Character Page 8 of 9

Recognition (OCR) The ability of machine vision software to determine the value of a string of previously unknown characters. Optical Character Verification (OCV) The ability of machine vision software to determine whether or not the value of a string of previously taught characters matches the current image. Resolution Measured in Units of measure per pixel. Field of View minimum number of pixels on the sensor. For example, a 1 FOV with a VGA sensor has a resolution of approximately.002 Resolution = FOV/pixels Resolution = 1 /480 Resolution =.002 / pixel Telecentric Lens Telecentric Lenses are used in imaging systems to make objects appear to be the same size independent of their location in space. Telecentric Lenses remove the perspective or parallax error that makes closer objects appear to be larger than objects farther from the lens, increasing image quality compared to conventional lenses. Telecentric Lenses are ideal for use in a variety of applications, including metrology, gauging, CCD based measurement, or microlithography. Page 9 of 9