Future development in high performance cameras and machine vision applications results in a need for faster vision communication standards. This thesis compares four high speed vision communication standards on the machine vision market. The standards considered are CoaXPress, GigE Vision over 10 Gigabit Ethernet, Camera Link HS and USB3 Vision, all which are capable of higher speeds than their forerunners. The standards are compared in general based on the theory available and with the help of the voting systems Borda count and the Kemeny-Young method. From the result of the general comparison two of the standards are chosen, CoaXPress and 10 GigE Vision, for an in depth comparison. The vision communication standards are tested on a Xilinx ZC706 development board for the Zynq-7000 SoC where resource allocation and power consumption are measured. The thesis gives an overview of the performance of the standards and with no obvious winner the voting system gives an unbiased comparison of the standards with interesting results.

As Ethernet based networks have become the dominant choice for Flight Test Instrumentation (FTI) network applications, it is also clear that Ethernet based camera integration and applications have yet to become more wide spread for system level design and integration. A significant customer base utilizes either separate video compression systems or even just stand-a-lone gopro cameras for recording purposes in an unsynchronized ways. The use of uncompressed high definition (HD) video from GigE Vision Ethernet cameras for flight test applications is a significant issue in managing the large volumes of data produced by the cameras and forwarding them to any 1000BASE-T(x) switch port without packet loss and significant delays. Of course an easy approach to overcome this issue would be to just increase the network bandwidth from 1000BASE-T(x) to 10GBASE-SR, but most FTI systems just moved to 1000BASE-T(x) in the past years and therefore changing the overall system hardware is cost prohibited. One concern has been the use of compression algorithms to reduce the required video bandwidth, with the negative side effect that the image quality reduces and end-to-end latency increases, which is not acceptable for some applications. Further, it is important that data from cameras is available to a number of different multicast consumers within the FTI network, for example workstations, recorders and telemetry systems. These video data stream also require synchronization so that they can be analyzed in post processing.

This diploma thesis focuses on a design of camera control system used for detecting defects, appearing during a UV luminescent glue application on the bottom of a paper bag. As a part of this thesis, an application was developed, using Baumer VCXG-53C industrial camera, implementing two dierent control methods - 2D cross correlation image pattern matching based on previously user defined pattern and glue area size measuring based on binary segmented image. The result of this work is a fully developed control system, prepared to be put into operation at the customer’s production line.