Linux Embedded Challenge Knowledge Base

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Linux Embedded Challenge Knowledge Base

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Simple web interface for controlling our robot. It contains buttons for movement and a console for robot output.
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In acest video descriem suportul fizic construit pentru proiect.
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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
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Am prezentat in video-ul atasat planul proiectului in linii mari,conexiunea intre udoo si computer, udoo si camera video, conexiunea la wifi si utilizarea VNC-ului.
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The robot is assembled and powered from battery. User is able to command the robot wheels from the web interface.
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Buna ziua, Pentru primul milestone am conectat o pereche laser-fotorezistor la plăcuța UDOO și am citit valorile analogice (simuland inaltimea produsului final). Multumim !
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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.
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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
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The video summarizes the functionality of web server running on the UDOONeo board and a web interface. Connecting through ssh, we can see the feedback that the server is giving. From the web interface, the user has access to the following functionalities: - put the device in learning mode (giving two names - for the device and for the command which are being learn) - select an already learnt command, having the possibility to schedule it for a further use or directly trigger it. The video also shows the feedback given by the server while running and communicating with the web interface.
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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
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Am uploadat un scurt demo ce cuprinde o descrierea a: - algoritmului folosit. - modul de functionare.
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   Realizarea primului milestone presupune realizarea interfetei web, care sa contina atat butoane pentru controlul robotului, cat si o fereastra de feedback de la acesta. Interfata este structurata astfel incat sa contina blocuri pentru: - status-ul de conectare; - live streaming; - feedback de la robot; - controlul robotului de la distanta.    Pentru realizarea interfetei si a comuncarii dintre interfata si Arduino, au fost necesare urmatoarele fisiere: - server.py (programul aflat in acest fisier este responsabil pentru crearea webserver-ului); - serialworker.py; - main.js; - index.html; - css.css; - serial2ws.ino.  
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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
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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.
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