Aici demonstram legatura dintre semnalul preluat de la volanul pentru jocuri video si servomotoarele care controleaza farurile. Volanul este conectat prin USB, iar semnalul este preluat in procesorul Cortex A9. Este prelucrat si transmis catre coprocesorul M4 prin interfata seriala, de unde sunt actionate motoarele. De asemenea, am refacut modelul de bot de masina, care are acum un design mai realist.

Assembly of our project using 2 servo motors, the Udoo board, and a separate voltage regulator for the power for the servo's.  We probably did something wrong. one of the servos is dead ( it seems the inside gears are damaged, we can hear it spinning, but it doesn't move on the outside. We are using cheap, plastic gears in the servo).

Linux Embedded Challenge is a Linux contest for Automotive topics. Its goal is to promote Linux and Open Source software in the student world. It also targets to prove Linux can be successfully used as support for Automotive software development. Linux Embedded Challenge is aimed towards students in the terminal years from either Politechnica University of Bucharest or Military Technical Academy who have had in the past previous experience with programming on Linux.

We are the team CanYouCMe and this is the video for Milestone 1 Project 1: Conveyor Belt with Optical Sorter. We will present the assembled Conveyor Belt and the object removing mechanism. The belt motion is implemented using a stepper motor and the object removing mechanism is implemented using a servo motor, both being controlled by the UDOO board, using Arduino We also added the camera which will get the images to be processed.

Hello,       We connected both the harp and the drumsticks to the board, and calibrated the instruments to get them to function as close as possible to their real-life counterparts.    The sounds for the harp are sent trough channel 1, and for the drumsticks trough channel 2, as the notes should have different soundfonts ( string-nylon for the harp and melodic tom for the drums). For more information , please check out our Repository :smileyhappy:

Acest videoclip este un demo al tuturor functionalitatilor pe care le-am avut de implementat in aceasta etapa.Ce am reusit sa facem: - un program de pornire a senzorului LIDAR si afisarea datelor sub forma de unghi : , distanta : - un program de client pe UDOO care trimite aceste date unui server de pe calculatorul nostru (acest lucru a fost necesar deoarece interfata grafica construita de noi nu functiona pe udoo) -o interfata grafica in OpenGL prin care toate datele primite de la client sunt afisate sub forma unor puncte dispuse circular in functie de pozitia masinii noastre (aceste puncte reprezinta obiecte din jur - masini , case , oameni ,copaci etc) -un algoritm de clustering pentru gruparea convenabila a obiectelor (cum proiectul nostru trebuie sa identifice masini, trebuie ca celelalte obiecte sa fie ignorate in reprezentarea pe harta a locurilor de parcare ocupate/vacante)

In this video, you are able to see the running mode of a python sketch that we used to introduce data from our sensors in a database every 10 seconds, the database itself and the web page which shows both the information stored in the database in a fancy format (the last entry, refresh every 15 seconds) and also 3 charts that describe the evolution of temperature, humidity and pressure over time.

For this milestone we created a web interface. We have connected a software joystick with one of the servos that we will use to move the robot. For feedback we displayed using a 3d object the board's relative position, as a more advanced form of a debug console. The web server we used also can be used as a REST controller, we can use the /direction and the /tilt paths to set the motor speed and to retrieve the current data from the accelerometers.

How do I register ?      The team leader will follow the enrollment process described in Enrollment page. When will I receive the Udoo Neo platform ?      Each selected team for Linux Embedded Challenge will receive a Udoo Neo platform at the end of workshop. I already graduated from University. Am I eligible to compete ?      Linux Embedded Challenge is open for Bachelor students and MSc students only from Faculty of Automatics and Computer Science, Faculty of Electronics, Technical Military Academy. I am working in Freescale as a an intern or a full time employee. Am I eligible to compete?      Yes, you are, if you are a Bachelor student or a MSc student in one of the following institutions: Faculty of Automatics and Computer Science, Faculty of Electronics, Technical Military Academy. Also, if you are an employee in other company( meeting the already conditions) and you want to compete, you are eligible only if the project remains open source after contest.

Codul pentru milestone 3 este in src/py_scripts. Este un singur script pentru milestone 3+bonus activity.

Milestone 3 : Build the video camera setup Add a video camera to the system. The controlling application should be able to identify vehicles in front of the car and the distance to them. One alternative to this is to select an object (for example, a vehicle number plate or some other fixed-shape form) and, knowing its dimensions and the camera’s focal properties, estimate the distance to it. It is recommended, but not mandatory, to use OpenCV for image processing.

Primul bonus al echipei Freya in care este prezentata interfata web a proiectului. *Pentru filmarea bonusului am scos apa din rezervor pentru a nu uda plantele fara a fi nevoie. Tot ce am facut pana acum din CLI se poate face dintr-o interfata web user-friendly si responsive. In Dashboard exista 3 afisaje pentru datele citite de la senzorii de temperatura, umiditate si nivel de apa. Mai jos exista 3 taburi pentru fiecare dintre senzori. In fiecare tab gasim un afisaj identic cu cele din dashboard, niste campuri cu ajutorul carora putem modifica valorile de limita si linkuri catre noi pagini unde putem vedea grafice ale temperaturii/umiditatii/nivelului de apa in timp. Golurle de pe grafice inseamna ori downtime (perioade in care s-a lucrat la macheta si la montaj) si reboot, ori ca senzorul nu a fost montat inca.

The presentation represents the last phase of Linux Embedded Challenge in which each team will finalize and present their project to a jury formed from top Freescale engineers. Day 1 Each team will finalize the project being helped by their mentor. Day 2 Each project will be prepared for a demo. The jury will analyse and select the winning projects according to judging rules.

In this milestone, we completed the project by finalizing the mobile app and testing the entire system. Technically, we added the "follow up" function to the mobile app that allows us to see the current position of the car and to see the way it's updated in real time (real time tracking). Also, the camera of the map is animated so that the user can see the actual movement of the car. We made the final testing by putting our device in the car, connecting all the components, and making sure that everything works as expected (mobile app, API and the device). Also the notification system was stress tested to see if it handles a real-world scenario.