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Linux Embedded Challenge Knowledge Base

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In acest video demonstram functionalitatile finale ale proiectului Adaptive Headlights. Preluam semnalul de la volan, calculam unghiul corespunzator si trimitem valoarea corecta la motoarele care controleaza farurile. Farurile folosesc un angrenaj de rotatie pe doua axe si pot face toggle intre faza lunga, faza scurta si oprite folosind un buton aflat langa placuta. Un alt buton opreste sau porneste intregul sistem. Modelul de bot de masina a fost, de asemenea, imbunatatit.
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Milestone 4 (20 pts., 1 week): Finish the project Based on the information from the video camera (vehicles ahead, speed and distance to them), the application should update the speed of the car in order to continuously maintain the safe distance and the speed value as close as possible to the preset one.
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3D Final interface Possibility to start the game from a phone Option to play a game during load time
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Ce ar trebui adaugat este ca pentru o conexiune la placuta este nevoie ca al doilea dispozitiv sa fie pe aceasi retea  si se va accesa ip-ul placutei pe portul unde s-a deschis socketul.
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Codul pentru milestone 3 este in src/py_scripts. Este un singur script pentru milestone 3+bonus activity.
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In this milestone, we completed the project by finalizing the mobile app and testing the entire system. Technically, we added the "follow up" function to the mobile app that allows us to see the current position of the car and to see the way it's updated in real time (real time tracking). Also, the camera of the map is animated so that the user can see the actual movement of the car. We made the final testing by putting our device in the car, connecting all the components, and making sure that everything works as expected (mobile app, API and the device). Also the notification system was stress tested to see if it handles a real-world scenario.
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We covered “Smoke on the water” from Deep Purple.
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Am adaugat modificarile codului pentru milestone 4 si pentru prezentarea finala in arhiva Project_08_Burned_Transistor.zip de pe bitbucket.
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In this video you can see the effect of various parameters exceeding the thresholds that we set: alerts being displayed. Note: The alert that we were supposed to configure during the bonus milestone was also implemented during this stage. 
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Hello, For the last milestone and the bonus we made the python script to control the car. We take images from the camera and then processing them to determine distance to the car in front of us. Based on that distance, python script adapt the speed of the car, stopping it if it is necessary or avoiding the obstacle. We are sorry for bad demo at bonus but the batteries were over and we ran out of time.
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Acest video prezinta modul de utilizare a camera mouse-ului. Am regandit gesturile pe care trebuie sa le faca utilizatorul afisate in Milestone_1. Astfel, utilizatorul trebuie sa miste punctul verde in fata camerei pentru a misca pointerul, sa aproprie punctul verde de camera pentru click stanga si sa-l departeze pentru click dreapta. Inainte de folosirea propriu zisa a camera mouse-ului, camera trebuie calibrata, pentru acuratete maxima in detectarea punctului verde (mai multe detalii in documentatie).
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Implemented infrared transmitter with SONY protocol, such that the user can: - directly trigger a SONY device command from the web interface - schedule a SONY device command to trigger at a future time (just once or daily) from the web interface
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Hello everyone, In this video we are showing off the Android application we implemented as a bonus. The virtual assistant program running on the UDOO Quad is also a web server which exposes a very basic REST API. This API is used to remotely control the assistant. The Android application uses Google's STT API to convert speech-to-text, send the input over internet to Yoda, who processes the input and sends back an answer, which is rendered using Google's TTS API. All plugins demonstrated in previous videos are usable from the Android application since the mobile phone is just another I/O and all the processing is still done by the application running on UDOO board. For more details about implementation, installation instructions and other specifications, please check our Git repository. Thanks for watching, Team Yoda
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Hello everyone, In this video we are showing off a couple of new features we implemented for the third Milestone. Yoda can notify you when there is some activity in your house or a gas leak occurs. Yoda can monitor disabled or elder ones, keep in touch with them and remind them to take medication. If the person does not answer, a notification is sent to the user. For more details about implementation, installation instructions and other specifications, please check our Git repository. Thanks for watching, Team Yoda
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Hello,       We connected both the harp and the drumsticks to the board, and calibrated the instruments to get them to function as close as possible to their real-life counterparts.    The sounds for the harp are sent trough channel 1, and for the drumsticks trough channel 2, as the notes should have different soundfonts ( string-nylon for the harp and melodic tom for the drums). For more information , please check out our Repository :smileyhappy:
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Milestone 4 - "Each recipe must be available for the user via a set of Wi-Fi commands. These commands will trigger the machine into mixing the right drinks for that user." Conexiunea dintre tableta android si udoo a fost realizata prin sockets. Pentru demonstratie a fost aleasa o "bautura" care continea toate cele 4 ingrediente disponibile la cele 4 pompe cu un timp de 9,5 secunde fiecare echivalentul a 50 ml. 
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Al doilea bonus al echipei Freya in care este prezentata capacitatea serei de a recunoaste comenzi vocale de a fi controlata prin intermediul acestora. In video sunt prezentate comenzile pentru citirea senzorilor (status), citirea limitelor(limits) si schimbarea limitei maxime a temperaturii (change maximum temperature). Cea din urma este apelata de 2 ori pentru a scoate in evidenta efectul ei asupra ventilatorului. Comenzile pentru schimbarea limitei minime a temperaturii, umiditatii si a nivelului de apa functioneaza in mod asemanator.
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Primul bonus al echipei Freya in care este prezentata interfata web a proiectului. *Pentru filmarea bonusului am scos apa din rezervor pentru a nu uda plantele fara a fi nevoie. Tot ce am facut pana acum din CLI se poate face dintr-o interfata web user-friendly si responsive. In Dashboard exista 3 afisaje pentru datele citite de la senzorii de temperatura, umiditate si nivel de apa. Mai jos exista 3 taburi pentru fiecare dintre senzori. In fiecare tab gasim un afisaj identic cu cele din dashboard, niste campuri cu ajutorul carora putem modifica valorile de limita si linkuri catre noi pagini unde putem vedea grafice ale temperaturii/umiditatii/nivelului de apa in timp. Golurle de pe grafice inseamna ori downtime (perioade in care s-a lucrat la macheta si la montaj) si reboot, ori ca senzorul nu a fost montat inca.
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Al treilea milestone al echipei Freya in care este prezentata macheta finalizata precum si functionalitatile acesteia. Baza machetei este realizata dintr-o placa de parchet si masoara 70x40 cm. Sera este confectionata din plexiglas si are dimensiunile 40x30x8 cm, iar inaltimea cu tot cu arcade este de 24 de cm. Rezervorul de apa este facut tot din plexiglas si masoara 10x10x15 cm. In partea stanga a machetei se afla placa UDOO si majoritatea componentelor electronice. Breadboardul a fost inlocuit de o placa de distribuite cu conexiuni lipite pentru mai multa siguranta, aspect compact si cable management. Senzorii, rezistenta si ventilatorul au fost montate si securizate pe sera. Sistemul de irigare a fost realizat folosing un tub de 2mm atasat de arcade. Acesta are are 6 orificii pentru a asigura irigarea uniforma a pamantului din sera. Planta aleasa pentru a evidentia utilitatile serei este graul.
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