Many modern mobile applications, such as Unmanned Aerial Vehicles (UAVs), require sophisticated processing capability with low power consumption in a small form factor. UAVs, for example, may require a platform capable of controlling a camera, performing digital signal processing techniques on the pictures to detect faces or motion, and guiding the vehicle based on decisions made from the processed data. Additionally, since the vehicle is mobile and aerial, its effectiveness is heavily dependent on the size and power consumption of the platform. In this report, we explore this set of requirements and how well they are met with a Texas Instruments OMAP SoC on a BeagleBoard. Specifically, we report on the computational performance and power drawn by the OMAP General Purpose Processor (GPP) when performing a facial detection algorithm with OpenCV. We also analyze the performance enhancement possible by offloading the facial detection algorithm to the OMAP DSP coprocessor. In summary we find that the Beagleboard would be an appropriate platform for a simpler UAV capable of pre-processing still images taken every few seconds, but not for processing video data real-time. We conclude by describing other applications that are suitable for the Beagleboard. / text

Todays modern warfare puts high demands on military equipment. Where soldiers are concerned, types of communication equipment such as radios, displays and headsets play a central role. A modern soldier is often required to maintain communication links with other military units. These units can, for example, consist of platoon commanders, headquarters and other soldiers. If the soldier needs to make a report to several units, the message needs to be sent to several radio networks that are connected to these separate units. This multiplicity in turn requires several items of radio equipment connected to the radio network frequencies. Considering all the communication equipment that is used by a modern soldier, the parallel data flow and all the weight a soldier needs to carry, can get quite extensive.  \noindentAt Saab AB it has been proven that a combination of powerful embedded hardware platforms and cross platform software fulfills the communication needs. However, the weight issue still remains as these embedded platforms are quite bulky and hard to carry. In order to increase the portability, a tailored Android application for smaller low-power embedded hardware platform has been developed at Saab AB. Saab AB has also developed a portable analogue interconnection unit for connecting three radios and a headset, the SKE (Sammankopplingsenhet). \noindentSaab AB intends to develop a new product for soldiers, the RPCS (Rugged Portable Communication System), with capacities of running the Android application and combining the audio processing functionality of the SKE. This thesis focuses on developing a hardware platform prototype for the RPCS using Beagleboard. The SKE audio processing functionality is developed as a software application running on the Beagleboard.

This project deals with design of a mobile robot controlled by MS Kinect. The movement of the robot is driven by depth data which is processed with a suitable ARM processor. There is a module designed for serial communication between the processor and the robot chassis. For user computer and ARM processor there are developed software applications to control each part of the robot as well. Finally, this project contains form of the built robot controlled by an ARM processor software. The robot has the ability of controlled movement between obstacles. This allows the robot to not come into contact with any obstacle.

Prevas Development AB vill effektivisera service, underhåll, utveckling, och felsökning genom att simulera en anodiseringsprocess på en enkortsdator. Genom att simulera denna process kan Prevas undvika de kemiska substanser som ingår i en verklig anodiseringsprocess. Svårigheten i projektet ligger i att leverera rätt information till rätt plats och i rätt tid. Syftet med vårt examensarbete var att välja en lämplig simuleringsplattform och på denna plattform bygga en prototyp av en simulator. Det ingick också i vårt arbete att välja utvecklingsmiljö. Efter en kombinerad teoretisk och praktisk utvärdering av ett antal möjliga plattformar och utvecklingsmiljöer föll valet på BeagleBone Black och att köra lastsimulatorn på enkortsdatorns huvudprocessor A8. Vi valde programmeringsspråket Python till det grafiska gränssnittet och informationshanteringen då det lämpar sig väl till dessa ändamål. Till datakommunikationen valdes C för dess snabbhet. Vi lyckades att få fram en simulator som kan plocka ut rätt information och sända den till rätt plats i rätt tidsintervall. Detta bevisades genom att mäta över den last som simulatorn skall leverera information till och jämföra detta mot en verklig anodiseringsprocess. / <p>Presentation över Zoom i enlighet med Folkhälsomyndighetens rekommendationer om distansstudier.</p>

Saab använder sig i nuläget av ett utdaterat system för att utföra tester av deras produkter. Systemet filmar ur olika vinklar och sammanfogar videoströmmarna till en slutgiltig video, där de sedan kan analysera resultatet av produkten. Enkortsdatorer är något som på senare år har blivit mer och mer populärt, Saab vill därför undersöka om det går att ersätta det äldre systemet med enkortsdatorer och kameror.Det ska undersökas om enkortsdatorn BeagleBoard klarar av att köra objektidentifiering samtidigt som den filmar och utför operationer som videosynkning, videokodning samt sparar den synkade filmen.Undersökningen visade att BeagleBoardens processor inte är tillräckligt kraftfull för att klara av objektidentifieringen utan hårdvarustöd. Istället behöver det utföras av en dator som bearbetar filmen i efterhand och plockar ut objekt. Det har förslagits en bättre metod för att göra objektidentifieringen smartare och lärande som kommer fungera bättre i Saabs fall. / Saab is currently using an old and complex system to perform tests of their products. The system is based on filming from different angles which will be merged to one film from which Saab can analyze the results of their products. Single-board computers is something that have become increasingly popular in the recent years, therefore, we are to investigate whether it is possible or not to replace the older systems with SBCs and cameras.We will also investigate whether the BeagleBoard is capable of detecting objects while filming, synchronizing, encoding and saving the video for later use.The result showed that the processor isn’t powerful enough to handle object identification without full hardware support. Instead, it needs to be performed afterwards by a computer which will identify objects in the video. A better method has been proposed to make object identification smarter and learning, which will work better in Saab’s case and their future work.

Contents of the thesis is to design and create an expansion board for the BeagleBoard computer one plate . The first and very important part was to find out all the possibilities for an extension of the computer itself . Choose the right expansion port . To study the possibility distribution of individual pins . Followed by the appropriate extension election districts that demonstrate the function of each enlargement . Test was designed PCB that contains circuits that change the voltage level of the BeagleBoard to protect a mini computer to the testing of each gusset periphery prevent damage to itself or part of the BeagleBoard . The peripherals themselves bind different parts of theoretical introduction. More specifically the extension of the LCD display is selected segment and includes two lines of 16 characters . When the possibility to add additional components were necessary to deal with the shortcomings of the output pins , this problem was solved by using an expander . He extends itself BeagleBoard by another 16 pins . On these pins are connected together on the LCD matrix keyboard . The creation of the board are two circuit temperature sensors , but have a different type of communication using I2C and one second using 1 -Wire bus . The board also contains various other bus outputs , for example, UART bus. It also contains an output pin which can be controlled PWM modulation . The remaining pins are versatile GPIO pins which can be programmed to define a function using the Linux operating system . The result is a final board of the package control programs which make it possible to verify the individual peripherals.

The BeagleBoard-xM, manufactured by Texas Instruments, is a small, low cost, open source development platform for the ARM® Cortex-A8 processor. This paper implements a hardware and software combination to connect to the ARM® processor via a JTAG connection for debugging. A FlySwatter interface board is utilized to connect the JTAG port to a host computer and a combination of software tools are implemented to demonstrate the capability for debugging the Linux kernel. The necessary files for booting the Linux 3.0 kernel were compiled and loaded on the BeagleBoard-xM and the host computer. Installation and selection of the components that make up the software tool chain are described. All the hardware and software used for this project are open source designs. / text

This master thesis deals with a problem of a small moving object detection - one or few pixels. Relevant mathematical aparats which are usualy used for processing of dynamic pictures are included. There was proposed experimental aparat for standalone locator for real-time operation. It is consisted from two devices - CMOS camera module and development board based on ARM processor. System GNU/Linux is used as operation system on this board. There were also tested methods useful for the essence of this project. On behalf of the tests was developed an algorithm to detect small particle in video sequence. C language routines were build including essence algorithms.

The objective of this study is to implement a low-cost smart camera application on a Commercial off the Shelf system that is based on Texas Instrument&rsquo / s DM3730 System on Chip processor. Although there are different architectures for smart camera applications, ARM plus DSP based System on Chip architecture is selected for implementation because of its different core abilities. Beagleboard-XM platform that has an ARM plus DSP based System on Chip processor is chosen as Commercial off the Shelf platform. During this thesis, firstly to start-up the Commercial off the Shelf platform the design steps of porting an embedded Linux to ARM core of System on Chip processor is described. Then design steps that are necessary for implementation of smart camera applications on both ARM and DSP cores in parallel are given in detail. Furthermore, the real-time image processing performance of the Beagleboard-xM platform for the smart camera applications is evaluated with simple implementations.