ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV / In this paper, we develop a miniaturized real time video compression module (VCM) based on embedded motion JPEG 2000 using ADV212 and FPGA. We consider layout of components, values of damping resistors, and lengths of the pattern lines for optimal hardware design. For software design, we consider compression steps to monitor the status of the system and make the system robust. The weight of the developed VCM is approximately 4 times lighter than the previous development. Furthermore, experimental results show that the PSNR is increased about 3dB and the compression processing time is approximately 2 times faster than the previous development.

Denna rapport beskriver utvecklingen av en referensdesign för en WiFi-modul från före- taget H&D Wireless. Referensdesignen skulle vara en kamera som kan skicka videodata trådlöst via den nyss nämnda WiFi-modulen. Projektet genomfördes under våren 2015 på företaget som examensarbete för Högskoleingenjörsprogrammet i elektronik och da- torteknik på KTH. Projektet delades upp i tre olika faser: en förstudiefas, en genomförbarhetsfas och en avslutande fas. I förstudiefasen gjordes en litteraturstudie som behandlade vanliga funktioner hos ex- isterande nätverkskameror, videokodningstekniker samt en något djupare studie av olika typer av bildsensorer. Förstudiefasen fortsatte med en analys av olika hårdvarulösningar som skulle kunna användas i projektet. I slutet av fasen valdes den hårdvara som skulle användas i projek- tet. Genomförbarhetsfasen gick ut på att ta reda på om den valda lösningen gick att ge- nomföra. I denna fas skedde huvudsakligen mjukvaruutveckling, under vilken testdriven utveckling tillämpades. En videobuffert samt en HTTP-server för videoströmning togs fram i denna fas. I den avslutande fasen färdigställdes projektrapporten och mjukvaruutvecklingen av- slutades. Mjukvaruutvecklingen för den valda videokodaren sköts upp på grund av att den levererades sent i projektet. I projektet användes en Scruminspirerad projektmetod. Projektmetoden upplevdes fungera bra på grund av metodens flexibilitet och påtvingande av tydliga uppgifter. Vid projektets slut kunde inte den trådlösa kameran färdigställas på grund av problem i kommunikationen med videokodaren. Om videokodaren hade kommit tidigare hade detta problem troligtvis hunnit åtgärdas innan projektets slut, men det är osäkert om implementationen hade hunnit färdigställas ändå på grund av den korta tid som fanns tillgänglig. Trots att projektet inte hann färdigställas helt har det gett många nyttiga lärdomar för framtiden. / company H&D Wireless. The reference design would be a wireless camera that can send video data wirelessly using the aforementioned WiFi-module. The project was carried out at the company during spring 2015 as a thesis project for the Degree Program in Electronics and Computer Engineering at KTH. The project was divided into three stages: a pilot study stage, a feasibility stage and a concluding stage. A literature study was performed during the pilot study stage, which described common functions in existing network cameras, techniques for video encoding and a slightly deeper study of different types of image sensors. The pilot study stage continued with an analysis of different hardware solutions which could be used in the project. The hardware solution which would be used in the project was chosen at the end of the pilot study stage. The purpose of the feasibility stage was to find out whether the chosen hardware solution would be possible to implement. This stage consisted mainly of software de- velopment, during which test driven development was practiced. A video buffer and a HTTP-server for video streaming was developed in this stage of the project. The project report was finished and the software development was wrapped up during the concluding stage. The development of the software for the chosen video encoder was delayed until the concluding stage because of its late delivery. A Scrum inspired project method was used for this project. The project method was perceived to work well in the project because of its flexibility and demand of clear tasks. The wireless camera could was not finished at the end of the project, because of problems in the communication with the video encoder. The problem could probably have been resolved before the end of the project if the video encoder had arrived earlier. It is not sure if the implementation had been possible to complete anyways because of lack of time. Although the project was not completely finished a lot of valuable knowledge was obtained for future work.

Camera-on-a-chip systems have tried to include carefully chosen signal processing units for better functionality, performance and also to broaden the applications they can be used for. Image processing sensors have been possible due advances in CMOS active pixel sensors (APS) and neuromorphic focal plane imagers. Some of the advantages of these systems are compact size, high speed and parallelism, low power dissipation, and dense system integration. One can envision using these chips for portable and inexpensive video cameras on hand-held devices like personal digital assistants (PDA) or cell-phones In neuromorphic modeling of the retina it would be very nice to have processing capabilities at the focal plane while retaining the density of typical APS imager designs. Unfortunately, these two goals have been mostly incompatible. We introduce our MAtrix Transform Imager Architecture (MATIA) that uses analog floating--gate devices to make it possible to have computational imagers with high pixel densities. The core imager performs computations at the pixel plane, but still has a fill-factor of 46 percent - comparable to the high fill-factors of APS imagers. The processing is performed continuously on the image via programmable matrix operations that can operate on the entire image or blocks within the image. The resulting data-flow architecture can directly perform all kinds of block matrix image transforms. Since the imager operates in the subthreshold region and thus has low power consumption, this architecture can be used as a low-power front end for any system that utilizes these computations. Various compression algorithms (e.g. JPEG), that use block matrix transforms, can be implemented using this architecture. Since MATIA can be used for gradient computations, cheap image tracking devices can be implemented using this architecture. Other applications of this architecture can range from stand-alone universal transform imager systems to systems that can compute stereoscopic depth.