- am stabilit conexiunea intre senzorul IR si placa UDOO - am facut un program relativ simplu pentru a putea afisa masuratorile efectuate de catre senzor Se observa si in video ca masuratoarea nu era una fixa deoarece colegul micsorea/marea raza de actiune a senzorului. Din pacate senzorul are o eroare de masurare de aproximativ +/-2 per masuratoare atunci cand distanta de masurare a senzorului nu se modifica. (furca blocata)

Echipa SOFTAL Milestone1- Video stream broadcast Pentru indeplinirea acestui milestone am ales sa implementez o aplicatie bazata pe socketi, partea de client pe pc si partea de server pe placuta. Serverul accepta mai multi clienti, daca se doreste vizualizarea de pe mai multe device-uri. Pentru captura imaginii si procesarea fiecarui frame am folosit opencv.  

The video shows the connection made using the OBD2 protocol, this current implementation opens the connection and then read the current RPM and simply prints it on the screen. The second video show the manifold presure, measure in the same way as in the first video.

In acest video prezentam urmatoarele functionalitati:    - Pagina de prezentare a proiectului, in care este explicata folosirea dispozitivului.    - Pagina ADD DEVICE care arata dispozitivele pe care telecomanda le cunoaste deja si permite adaugarea de noi dispozitive    - Pagina ADD SIGNAL care arata semnalele deja cunoscute de telecomanda si permite adaugarea de noi semnale    - La adaugare se ruleaza un executabil C care deocamdata aprinde led-ul de pe placuta simuland learning-mode    - Pagina SCHEDULE care permite selectarea dispozitivului si a semnalului si specificarea timpului la care acesta va fi emis in formatul ora:minut (ora exacta de emitere a semnalului), apoi la ora stabilita lanseaza un executabil C care comunica cu core-ul de Arduino si aprinde led-ul de trei ori.       Am realizat interfata folosind framework-ul Meteor, folosind un dev-bundle pentru arhitecturi arm. *TODO-ul va fi inlocuit de un video tutorial **Ne cerem scuze pentru intarziere, am intampinat probleme legate de upload

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

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.

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).

We described the web interface and its functionality.

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.  

Milestone 1 Project: Infrared Remote Control We described the interface which will help us to control the the device.

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.

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

For this milestone we implemented a program that retrieves video stream from the USB camera using Python. The video illustrates the functionality: the user is connecting to the device and the video stream captured is shown to the laptop.