Pentru indeplinirea cerintelor Milestone-ului 2, am atasat un display LCD la placuta UDOO Neo pentru a afisa datele colectate de la senzori. De asemenea, am realizat un simplu meniu, navigabil din butoane pentru a putea afisa selectiv datele primite de la senzori sau toate datele odata. Dupa cum se poate observa in filmulet, atingerea senzorilor duce la modificarea valorilor masurate de acestia.

RS Lang Milestone 2: Build the controlling application Build an application that sets the speed of the car at a certain value. The car should be able to move with constant speed and when a new speed value is received from the app, it should accelerate or brake properly.

Enjoy a summary of Linux Embedded Challenge 2015.

A video showing the first few features of our Adaptive Headlights project. So far, we put together: power on/off buttons LEDs for the low beams, high beams and side lights servos for the high beams When the angle at which the wheel is tilted is greater than a certain threshold, the side lights are turned on progressively, in order to improve vision of the incoming portion of road. When the angle is lower than said threshold, the high beams adapt their position to follow the road.

Am folosit SDK-ul pentru Google Assistant, asistentul produs de Google. In video am dat comenzi prin seriala la placuta UDOO, iar outputul este redat pe televizor prin HDMI. Am rulat apoi 5 comenzi vocale cu asistentul.

In this video you can see the hdmi connection we had made and the data retrieved from the sensors printed on the screen as a result. 

-we implemented the QR code generator(not 100%) -the generated QR code contains info from a specific request -as a security and selection method for delete/modify tasks we implemented an unique ID for each reservation, without it you can not delete or modify a request -from now on the site can we accessed using the following address LEC 2017 - Reservation Request  -you can find the entire project+apk for the phone app on our bitbucket repository

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.

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

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

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.  

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

AirBits milestone 1 Componente realizate și prezentate: 1. Server UDP și access point WiFi pe UDOO board 2. Aplicație Android de control a dronei În video este prezentată comunicația end-to-end dintre aplicația Android și procesorul M4 care va controla motoarele. Ca proof of concept joystick-ul de control al accelerației controlează LED-ul de pe UDOO board. LED-ul este aprins în momentul accelerării și stins la frânare. În video mai pot fi observate și funcționarea corectă a access point-ului, interfața grafică a aplicației și funcționarea comunicaței dintre aplicație și UDOO prin parametri trimiși în timp real și observați în consolă.

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.

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 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.