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THE IMAGING & VISION HANDBOOK 2016/2017

The new edition of STEMMER IMAGING’s vision handbook covers numerous basic topics from all areas of imaging and machine vision on around 450 pages. This preview version (English / German) gives you a first impression of this highly praised reference guide. To get the full version please register by entering your e-mail address.
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Imaging & Vision Handbook 2016/17 - Preview

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The new edition of STEMMER IMAGING’s vision handbook 2016/2017 covers numerous basic topics from all areas of imaging and machine vision on around 450 pages. This preview version gives you a first impression of this highly praised reference guide. To get the full version please register by entering your e-mail address.

▹ ▹VISION SYSTEMS:

▹ ▹VISION SYSTEMS: TECHNOLOGY HIGH-SPEED RECORDING SOLUTIONS VISION SYSTEMS Character readers Reading text such as date and lot codes in its simplest form is quite easy, however, a good OCR algorithm also has to be able to deal with difficult conditions such as poor contrast, circular print or even text that contains background interference under difficult conditions. 1.9 Application focused vision systems As machine vision has matured, there has been a lot of research into the more difficult applications. This resulted in general improvements of algorithms or lighting techniques, however in recent years we have seen solutions that require a close integration of lighting, camera and software to realise a solution that makes the most complex application easy. Vision systems that address this include ■■ 3D smart sensors ■■ Shiny surface inspection systems ■■ Hyper-spectral inspection systems Reading a poor contrast image Checking circular printing These systems are based on years of research and integration to enable some of the toughest applications to be delivered with lower risk and with less time. 1.8 User control and logging A vision system only works well if it is set-up correctly. As user skill levels can vary significantly, a good vision system should provide the ability to control what each user is able to do. Taking this a step further, the pharmaceutical industry requires solutions to be 21 CFR Part 11 compliant. Essentially this means that there must be an audit trail covering all changes to the system, so that if inspection parameters are changed, a record is kept of who did what and when. 1.10 High-speed recording solutions High-speed diagnostic recording has many applications. Very fast processes often need to be seen in slow motion to identify problems. Often the frame rates required are 10 to 100 times faster than taking one picture per cycle as in on-line systems. This type of application records high-speed image sequences both before and after an event enabling detailed off-line analysis. Fast frame rates of up to a few thousand frames per second can be achieved, which is fast enough to capture a wide variety of potential manufacturing process problems. This image is taken from an application that uses passwords to restrict and log changes to a vision inspection system, leaving an audit trail to show what was changed, when it occurred and who changed it. Some systems even support central user logging of all vision systems in a factory providing a central audit trail. High-speed image sequence recording is a diverse technology used in many application areas including vehicle crash testing, high-speed process and machinery diagnostics and for recording and evaluating complex procedures in medical applications. It is also used for statistical evaluation in sports, and for high-speed action scenes in film making. 1.10.1 System architectures There are two types of high-speed recording solutions, on-line and offline. On-line systems rely on high-speed cameras sending data directly to a PC's system memory or disk capacity, while off-line solutions contain the image recording memory within the camera itself. Both solutions have advantages and disadvantages and the decision is normally driven by the required frame rate. On-line systems rely on the interface speed between the camera and the computer and the speed of the computer. Using the fastest current interfacing technology (status 01/2015) this is limited to roughly 4 GB/s. If this speed is acceptable and you require long sequences this solution is a good choice. IRELAND Phone: +353 65 704 200 0 POLAND Phone: +48 664 921 922 SWEDEN NORWAY ICELAND Phone: +46 8 555 110 00 SWITZERLAND Phone: +41 55 415 90 90 UNITED KINGDOM Phone: +44 1252 780000 13

▹ ▹VISION SYSTEMS: TECHNOLOGY HIGH-SPEED RECORDING SOLUTIONS VISION SYSTEMS Off-line systems increase this throughput as images are held in the camera without any need for transmission while recording, however, these systems are normally limited to 16 GB or 32 GB of memory, reducing the maximum possible recording length. Imple mentation of lower powered laptops is also possible as the computer is just controlling the camera settings and archiving the results after capture, therefore requiring only minimal performance. 1.10.2 Triggering and synchronisation In on-line inspection systems the goal is to capture a single image at the trigger point when the object passes the camera. Generally there is no concept of a sequence in this type of application. For sequence recorders the trigger point is the point that starts recording the whole sequence at full speed. Of course it is also possible to synchronise each frame within the sequence to the process. 1.10.3 Types of sequence trigger As there are many applications for sequence systems, many different requirements for triggering scenarios exist. The simplest method is to start recording when a trigger event occurs. The drawback here is that the recording of the information cannot occur before the trigger event, which is a common requirement in diagnostic use. To achieve this, recorders use the concept of a ring buffer. In this mode, the system continuously records into memory. Once full, the system starts overwriting the first records Ring buffer in memory. On a trigger 3 event, the system records 2 4 until the ring buffer is filled 1 5 up to a certain position and 8 6 stops, thus providing, both 7 pre- and post-event recording information. TV LENS 50mm 1 1.5 C 16 8 4 1.8 Sequence recorders sometimes offer other methods of triggering than the traditional trigger input. One such method is using image content. If the image data in a certain area changes significantly, either in intensity or because there has been movement in the image, the camera triggers itself to send an image or sequence, removing the need to generate a trigger using hardware. In this example the sensor automatically triggers an image whenever a car passes the trigger activation field. The IR illumination allows an image to be captured under any conditions. This diagram shows a set-up in which a vehicle test collision is being monitored to collect data about the event. An area of the scene is being monitored by the camera and used to trigger the recording sequence if anything within that area changes according to predetermined values. This provides a trigger exactly at the moment required, without the need for complicated external sensors and triggering. Pre-trigger Through-the-lens trigger Post-trigger 14 STEMMER IMAGING www.stemmer-imaging.com BENELUX Phone: +31 575 798888 DENMARK Phone: +45 33 73 00 00 FINLAND BALTICS Phone: +358 9 43 555 00 FRANCE Phone: +33 1 45069560 GERMANY AUSTRIA Phone: +49 89 80902-0

  • Page 1 and 2: THE IMAGING & VISION HANDBOOK IMAGI
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    Now THAT’S Smart Vision Lights is

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    With more than 30 years of experien

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    MIDOPT FILTERS Where Image Quality

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    Schneider-Kreuznach Trust is good.

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    Telecentric Lenses CCD Lenses PRECI

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    NEW! M111FM-Series 1.1" Image Circl

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    Finding the remedy Struggling to ma

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    JAI.COM Here we GO again…! New! G

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    Perfect resolution, made simple Lib

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    SECURITY | SURVEILLANCE | VIDEO CON

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    IMAGING ANYWHERE & EVERYWHERE Our n

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    It‘s what you make it. Unlimited

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    ▹ ▹APPENDIX COPYRIGHT APPENDIX

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    THE STEMMER IMAGING MACHINE VISION

STEMMER IMAGING

Imaging & Vision Handbook 2016/17 - Preview
Handbuch der Bildverarbeitung 2016 / 2017 - Preview

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