In acest video descriem suportul fizic construit pentru proiect.

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.

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.

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. 

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

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.

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.

Am realizat conexiunea la un monitor prin micro HDMI .

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