We installed opencv and libraries for working with opencv in Python and managed to create an application for finding the eye pupil. In case the camera finds the eye, it will display only the data and image for the eye. In case it doesn't it will show the greyscale image and also show an error "No pupil detected". We also added a counter so in case the camera doesn't see the pupil for a certain time it can assume that the eye is closed and will show a message. As we have some issues with the opencv library and detecting camera on UDOO, we have tested the camera only on PC, but if it the code works on Ubuntu 16  it should also work on UDOO.

Am adaugat generarea de coduri QR la crearea de request-uri. Cand este scanat, codul duce pe pagina de validare a codului respectiv din webapp.

In videoclipul de mai sus se poate vedea cum robotul este controlat cu ajutorul unei aplicatii Android.Filmulet cu aplicatia se poate gasi pe repositoriul nostru.De aseamenea,am reusit sa facem senzorul LIDAR sa functioneze si sa trimita date spre a fi interpretate.Tot in repositori se pot vedea rezultatele interpretarii datelor si a faptului ca senzorul functioneaza.

We run out of batteries so we used direct alimentation for the demo.

We are sending one video for 4 milestones. Here we've implemented the server app in python (on the UDOO board) and an client app on Android. We can do everything which is required in those 4 milestones. We have made a list of options on the server from where we can add, delete, show receipts and pompes. The receipts and pompes are stored in json files. From the client app we can obtain the list of receipts and order drinks.

Am uploadat un scurt demo ce cuprinde o descrierea a: - algoritmului folosit. - modul de functionare.

We implemented an application in c that helps us control the car. We are sending data between cores using serial transmision. We also started to implement a part of the bonus (change direction to avoid obstacles). The source code will be available on git.

In acest video demonstram prototipul pentru bordul masinii, sistemul de iluminat si mecanismele pentru miscare.

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.

Am constuit masina la care am atasat frontal camera video, sistemul de ghidare a ledurilor in functie de trafic si directia de mers, plus un controller folosit la pornirea masinii, ledurilor si dirijare. Controlul directiei de mers si al orientarii farurilor se face cu ajutorul unor servo motoare. Placuta de dezvolate este alimentata de la o baterie de 5V.

We show in the video how we managed to connect the circuit, how we made the pwm for different speeds and a little demo with the movement of the car.

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.

Am instalat Tomcat 8.5.14 si MySQL server 5.5 pe placuta UdooNeo, apoi am realizat o aplicatie web in Tomcat care sa faca legatura intre o interfata grafica in browser accesabila de catre utilizator si baza de date. Utilizatorul poate cere in request pentru o anumita data, ora si durata iar daca nu mai exista in request in acea perioada de timp utilizatorul primeste in cod pe care il poate folosi pentru a accesa serverul in perioada de timp ceruta.

Am atasat un lcd si am afisat datele citite pe el, am pus mana pe senzorii de temperatura si peste cel de lumina pentru a se observa ca se schimba valorile.

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. 

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.