CanYouCMe - Milestone 2 - Conveyor Belt with optical sorter We implemented a mechanism which detects object presence and absence using image processing. The conveyor starts running when detects an object, and when there are not more objects, it stops. 

La acest milestone trebuia sa conectez senzorii la placuta iar acestia sa detecteze miscarea si sa se activeze o alarma.

Modelul de casa cu senzorii instalati strategic unul la intrare si alti doi ce acopera suprafata interioara.

We connected udoo to wireless Installed apache  We added some buttons to control the movement of the robot We had to put the web server on port 81 because we had some issues with apache and port 80

Am imbunatatit partea de transmisie seriala pentru a putea trimite si Ack inapoi la server-ul de python pentru a verifica ca datele au fost primite de catre partea de arduino. Am implementat scrierea de semnale PWM pe ESC-uri pentru a putea controla motoarele Am construit drona pentru a putea testa toate componentele si controlul motoarelor Am folosit Neo.Gpio pentru a lua datele de la senzori si a le avea pe server-ul python

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

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.

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.

Salutare, In acest clip video demonstram implementarea primului milestone: interactiunea om - asistent pentru a rezolva anumite task-uri din viata cotidiana. In partea stanga a clipului sunt informatiile necesare, in partea dreapta este o interfata web expusa de asistent in care se observa istoricul comenzilor, iar in partea de jos se vede placuta UDOO, microfonul si boxa audio. Pluginurile implementate suporta: adaugarea evenimentelor in Google Calendar; stocarea notitelor in Evernote; obtinerea unor informatii despre sistemul pe care ruleaza asistentul; cautarea unui film pe IMDb si descrierea lui sumara; obtinerea informatiilor despre actiunile dintr-un portfoliu; oferirea informatiilor despre vreme; cautarea telefonului mobil.   Din pacate, din cauza limitei de 3 minute, ne-a fost greu sa cuprindem toate functiile posibile, motiv pentru care am incercat sa exemplificam doar partile relevante fiecarui plugin. Pe langa functionalitatea prezentata in videoclip, asistentul suporta si urmatoarele: suport multilingv; diferite voci si accente (mult mai bune fata de cea folosita in clip); reglarea automata in functie de zgomotul din camera; diferite module pentru transcrierea si redarea textului in format audio. Pentru mai multe detalii despre implementarea solutiilor, instructiuni de instalare si alte specificatii, va rugam consultati fisierul data/milestone_1.md din repository-ul Git. Va multumim, Echipa Yoda

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.