This page contains a Flash digital edition of a book.
SUPPLEMENT FEATURE MACHINE VISION SYSTEMS PLUG & PLAY VOLUME MEASUREMENT


Whether master data acquisition, quality control or fully automatic commissioning, Framos aims to simplify logistics processes


ramos has combined its many years of image processing experience and countless customer projects to develop a complete product for immediate plug and play use. The Framos VLG systems offer a cost- effective solution for robust, geometric measurement of almost any object or goods, streamlining processes and operating automatically for greater efficiency and higher quality. Framos VLG systems are said to save valuable time, labour and monetary resources in every logistics chain, resulting in improved capacity utilisation, higher quality operations with fewer downtimes, as well as satisfied customers. Applications include master data


F


acquisition, for example, process integration and entering dimensional information to product databases of new goods. Fully automatic commissioning, for example, identification of the allocation of storage locations, optimisation of storage volume and automatic palletising. And quality control, for example safeguarding secondary automated processes and storage or palletising. Many more applications include simple,


modular development, individual and custom solutions on request, such as pallet projection check, completeness check, rotation check, position determination and pick and place.


ACCESSORIES More than just dimension measurement: scanning, filming and many more applications are also possible. Additional functions and accessories adapt and extend the VLG to suit your individual logistics processes.


The Framos VLG is available in standard


versions between 50 x 50cm and 3 x 3m measuring size with resolutions from 2.5mm to 10mm. You can find your personal variant using the Framos VLG online configurator at https://www.framos.com/en/imaging- systems/framos-vlg/product- configurator0.html


NEED EVEN MORE FLEXIBILITY? The Imaging Systems Team provides additional support with customer- specific developments, and adapts the VLG specifically to the required project conditions. Framos takes pride in having helped many international companies to optimise their logistics processes. You can find selected examples in the reference applications online.


Framos T: 01276 404140 www.framos.com


Breaking the speed limit for GigE Vision T


he GigE Vision standard, introduced in 2006, for data transfer in machine vision


applications has enjoyed phenomenal success. A report recently published by IHS indicates that machine vision cameras with an Ethernet interface accounted for half of the world camera revenues in 2014. This astonishing growth in popularity has been due partly to the ability to use mass-market components and protocols and better software and hardware compatibility, and partly because Ethernet technology can provide fast, inexpensive communication over distances of up to 100m, with sufficient bandwidth on ‘normal’ network connections to meet the demands of many image processing


applications. However, with new CMOS sensors pushing the acquisition rate in both area scan and line scan cameras, the 115 Mbyte/s data transmission rate for GigE vision can be a limiting factor for some applications. This has led to the emergence of newer standards such as CoaXPress, CameraLink HS and USB3Vision, which all offer faster data transmission rates but fail to meet the combination of data transmission and low cost offered by GigE Vision, and in many cases require more complex cabling requirements. So any developments which enhance data transmission rates using the standard GigE Vision protocols are extremely attractive, and the new ‘TurboDrive’ technology from Teledyne DALSA is a patent pending innovation which can increase data transmission by up to 235 per cent of the nominal channel speed. Enhancements of data transmission speed are


already available with some cameras that employ Link Aggregation technology. Here, two Ethernet ports are used in parallel to double the data transmission rates, but this requires the use of double the number of Ethernet cables. TurboDrive technology, however, maintains the use of single cables by using advanced data encoding techniques that look at the redundancy in the data coming out of the sensor. It is an efficient approach to augment camera acquisition rate without including a


frame grabber in the system. A typical machine vision camera encodes the pixel information using absolute encoding over 8 to 16 bits to transmit image information. For instance, in 8- bit, each pixel takes a value ranging from 0 (black) to 255 (white). This means that each pixel is fully described individually and there is no additional need for information to decode it since the numerical value represents pixel intensity. This approach has the benefit that if a transmission error occurs, then the receiver can easily skip the erroneous pixels. The drawback is that this type of encoding requires more bits than is truly necessary. The TurboDrive approach relies on a localised relative encoding method to examine each pixel in its context before encoding it, allowing the same information to be packed in less bits. TurboDrive does this by evaluating the level


of uniformity of pixel intensity in the image. The end result of this sophisticated pixel analysis and processing is that each pixel in this method is comprised of fewer bits for encoding, bringing faster data transmission. The improvement in data transfer rate is therefore dependent on the image itself, but is often 1.5x the standard throughput.


Stemmer Imaging T: 01252 780000 www.stemmer-imaging.co.uk


S1 OCTOBER 2015 | MACHINE VISION SYSTEMS 0


/AUTOMATION


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72