Codul pentru procesarea de imagine se afla pe git in folderul src/py_scripts.

For this milestone, the new implemented functionality consists of: - adding login/logout feature - enabling an admin user to add new users - separating devices by users and commands by devices - adding IR learning functionality for devices which use the Sony protocol - lighting up a LED while the device is in learning mode

   Hello! Suntem echipa UDOOpia si proiectul nostru se numeste Self-Balancing Robot. In cel de-al doilea milestone am avut de montat motoarele si alimentarea, precum si de comandat miscarile robotului prin intermediul interfetei web.    Am ramas fara baterii si am alimentat placuta tot de la laptop. Urmeaza, insa, sa renuntam de tot la ele si sa le inlocuim cu acumulatori, datorita eficientei lor.    De asemenea, kit-ul sugerat pentru asamblarea robotului nu a fost favorabil intrucat piesele nu se potrivesc intre ele (universal plate cu piesele in dotare si suporturile motoarelor). Urmeaza sa facem o proiectare a pieselor necesare si sa le scoatem la o imprimanta 3D, pentru un aspect imbunatatit al robotului.    Avand 2 suporturi de baterii, am optat pentru conectarea lor in serie pentru a obtine o singura sursa de alimentare a driverului de motoare. Driverul l-am conectat la motoare si l-am atasat la pinii de Arduino.

Hello everyone, In this video we are showing off a couple of new features we implemented for the second Milestone. Yoda can control your appliances. In this demonstration, we connected two LEDs that are controlled by the assistant: turn on and off, make them less or more brighter. Each LED can be controlled individually or as a group and are easy to setup: connect an LED and specify which pins you used. In this example, we used the PWM pins for a fine-grained control. Yoda can make use of the information provided by sensors. Currently, it communicates with an LM75A temperature sensor via the I2C interface. Yoda can serve as a music player. You can tell your assistant to play music, skip a song, turn the music louder and manage your playlists. For more details about implementation, installation instructions and other specifications, please check our Git repository. Thanks for watching, Team Yoda

In acest clip este prezentata masina construita de noi.Se pot observa componentele interne precum senzorul lidar,rotile caracteristice si miscarile robotului pe axe.De asemenea,in repo-ul nostru puteti gasi poze cu componentele,aplicatia de control prin bluetooth precum si codul sursa.

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.

-when a user submit a request we generate a QR code that contains all the information about that request -when a user modify a request we generate a new QR code with the related changes -the user will receive an email with the QR code on the email address that he used to submit/modify the request -in order to read the QR code we connected a webcam to the UDOO board and used Java Script in order to capture and analyze the image

In video este aratat codul pentru recunoasterea unui obiect (cu ajutorul librariilor openCV) dupa o culoare HSV, setata prin slide-urile de range. Dupa ce obiectul este bine delimitat de culoare (rezultatul filtrarii se afla in fereastra Thresholded Image), acesta este identificat si urmarit (punctul de tinta, langa coordonate) in imaginea originala.

În cadrul acestei etape, am realizat o variantă incipientă a suportului fizic pentru sistemul nostru.

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

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.

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.

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

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.

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.

In acest video se poate observa cum extragem un cod ISBN de pe coperta unei carti.Am folosit un program si anume,zbar-tools. Am verificat ca ISBN-ul este extras cum trebuie,prin faptul ca ne-a afisat in browser, pagina de pe goodreads cu cartea de pe coperta careia l-am extras .

Am testat placuta cu o aplicatie IP Webcam pe un telefon Android. Pentru receptionarea stream-ului, am scris un program Python ce foloseste OpenCV.

We connect the camera to the board and wrote a program that detects the text from a picture in order to prove that we decode the information transmitted to the camera. The camera isn't active all the time. In order to power on or off the camera we use the gyroscope sensor (bassicaly we shrink a little the board). 

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

On the last milestone we already had a car controlled from the computer. For this milestone we made some tweaks for both the car and the app. For the car we added an extra driver(to not lose power when using both motors at the same time) and finally, batteries. The app controls the car similarly to a video game with the WASD key and there is also an interactive meter to update the speed. The app also has the option of enabling cruise control which moves the car at a constant speed, indicated by the meter.