we have implemented a web interface from where the user can: send  a hexadecimal code (the code must begin with "0x") to the board send a code and a date/time that will be scheduled get into learning mode and input names for the codes that will be received by the board

Simple web interface for controlling our robot. It contains buttons for movement and a console for robot output.

Project 1: Conveyor Belt with Optical Sorter milestone 1: Codul pentru controlul motoarelor este pe repo-ul de git in folderul src. In faza experimentala este si scriptul de openCV pentru datele primite de la camera. 

We installed our usb wireless adapter (tp-link tl-wn722n) on the board and we were able to connect to wi-fi networks through it and through the board with the help of the web interface. Then we installed the package udoo-softap and after a restart we could connect to the default named udoo-hotspot network (we did not change anything in the config file just pointed the daemon to the aforementioned config file). We could connect to the network but it had no internet access because our usb adapter was displayed as not ready when we tried to debug (work in progress).

In the movie, we show that we wired the necessary connections to the 'T' pin (the red wire) of the board inside the headset, and to the ground, that needs to be common with the UDOO board's ground (the black wire). The wires are connected to the 0 (RX) pin and the GND pin of the UDOO board, respectively. Software-side, we used the Brain library which takes packets received from the serial interface and interprets them, giving values in CSV form, for us to process in the next step. For receiving data from the headset, the M4 core of the board runs the Arduino code and uses the Serial0 object (UART 5) to take the raw data, which is processed by the Brain library. Then, the resulting string is sent to the A9 core by using the provided shared memory. The Serial object is used for this step, as we see in the video. The received string contains values in the following form: signal strength, attention, meditation, delta, theta, low alpha, high alpha, low beta, high beta, low gamma, high gamma We will use them in the following milestones.

The video summarizes the functionality of web server running on the UDOONeo board and a web interface. Connecting through ssh, we can see the feedback that the server is giving. From the web interface, the user has access to the following functionalities: - put the device in learning mode (giving two names - for the device and for the command which are being learn) - select an already learnt command, having the possibility to schedule it for a further use or directly trigger it. The video also shows the feedback given by the server while running and communicating with the web interface.

Our project is Adaptive Cruise Control and for our first milestone we built a proof-of-concept automobile which can be controlled from a computer with the help of an application. In this app the speed can be adjusted and the car can be controlled using the WASD keys. Also, it has the option of cruise control which moves the car forward at a constant speed.

Milestone_1 Implementarea hardware si software; Aplicatia grafica a sistemului: ofera o vedere top-down a intersectiilor si a celor 2 vehicule; Posibilitatea de a alege punctul de start si punctul de oprire a vehiculelor; Vehiculele incetinesc cand se apropie unul de celalalt pentru a evita coliziunea.

Buna ziua, Pentru primul milestone am conectat o pereche laser-fotorezistor la plăcuța UDOO și am citit valorile analogice (simuland inaltimea produsului final). Multumesc!

   Realizarea primului milestone presupune realizarea interfetei web, care sa contina atat butoane pentru controlul robotului, cat si o fereastra de feedback de la acesta. Interfata este structurata astfel incat sa contina blocuri pentru: - status-ul de conectare; - live streaming; - feedback de la robot; - controlul robotului de la distanta.    Pentru realizarea interfetei si a comuncarii dintre interfata si Arduino, au fost necesare urmatoarele fisiere: - server.py (programul aflat in acest fisier este responsabil pentru crearea webserver-ului); - serialworker.py; - main.js; - index.html; - css.css; - serial2ws.ino.  

Buna ziua, Pentru primul milestone am conectat o pereche laser-fotorezistor la plăcuța UDOO și am citit valorile analogice (simuland inaltimea produsului final). Multumim !

We bought the compatible components for our project and tested each of them. GPS module (u-blox NEO-6M + GPS antenna) USB mobile broadband mode In this milestone we also bought a Microsoft Azure subscription for testing and deployment.

Salutare, In acest clip video demonstram implementarea primului milestone: interactiunea om - asistent pentru a rezolva anumite task-uri din viata cotidiana. In partea stanga a clipului sunt informatiile necesare, in partea dreapta este o interfata web expusa de asistent in care se observa istoricul comenzilor, iar in partea de jos se vede placuta UDOO, microfonul si boxa audio. Pluginurile implementate suporta: adaugarea evenimentelor in Google Calendar; stocarea notitelor in Evernote; obtinerea unor informatii despre sistemul pe care ruleaza asistentul; cautarea unui film pe IMDb si descrierea lui sumara; obtinerea informatiilor despre actiunile dintr-un portfoliu; oferirea informatiilor despre vreme; cautarea telefonului mobil.   Din pacate, din cauza limitei de 3 minute, ne-a fost greu sa cuprindem toate functiile posibile, motiv pentru care am incercat sa exemplificam doar partile relevante fiecarui plugin. Pe langa functionalitatea prezentata in videoclip, asistentul suporta si urmatoarele: suport multilingv; diferite voci si accente (mult mai bune fata de cea folosita in clip); reglarea automata in functie de zgomotul din camera; diferite module pentru transcrierea si redarea textului in format audio. Pentru mai multe detalii despre implementarea solutiilor, instructiuni de instalare si alte specificatii, va rugam consultati fisierul data/milestone_1.md din repository-ul Git. Va multumim, Echipa Yoda

Primul milestone al echipei Freya. Are in componenta 4 senzori: nivel de apa, temperatura, picaturi de ploaie si umiditate sol. Datele pot fi citite oricand prin optiunea --show. Acestea sunt, de asemeni, citite automat si sunt stocate in baze de date RRD (prin optiunea --update) in fiecare minut folosind cron. Cu aceste baze de date putem crea grafice care arata evolutia mediului in timp.

Source code for the graphics applications presented in session 5 of the workshop.

Pana in momentul de fata, am conectat 2 senzori la placuta UDOO:    - Senzor pentru masurarea temperaturii si umiditatii;    - Senzor pentru masurarea presiunii atmosferice. Masuratorile se realizeaza o data la 5 secunde, iar masurarea presiunii se face in 2 moduri:    - presiuni absoluta, calculata in functie de temperatura;    - presiune in functie de altitudine (referinta: nivelul marii).

[Milestone 1 Proiect 15: Adaptive Cruise Control] Salutare!  In acest video am aratat ca am conectat placuta la un router, iar prin intermediul ip-ului asignat ne-am conectat la placuta prin VNC. Am scris codul pentru a controla miscarea, accelerarea si decelerarea masinutei in fata si in spate. Masinuta este controlata momentan din consola seriala a editorului de arduino. Codul va fi disponibil curand pe Git.

In this video you will be able to see the electronic scheme that we have designed with the purpose of fulfilling the tasks Milestone 1 consists in. You will also be able to see the environmental parameters measured by the sensors and also the ones measured as a result of simulating various situations. 

We connected udoo to wireless Installed apache  We added some buttons to control the movement of the robot We had to put the web server on port 81 because we had some issues with apache and port 80

A house model with strategically placed sensors.