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.

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 implemented the page where you can get access based on the QR code information, you get a message if the access is granted or denied, if someone enters the field, the admin will receive a notification in logs platform. -if the request time doesn't match the current time, administrator will receive a notification in the admin logs platform that will inform why the access was denied. -exact hour and data are displayed on the page.

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).

The first edition of Linux Embedded Challenge has dared students to be innovative and to transcend their novel ideas into reality. The below movie shows an overview of Linux Embedded Challenge 2014 edition.

         RS Lang Milestone 1: Build the automobile Build a proof-of-concept car which can rotate its wheels. The rotation speed can be controlled by the UDOO board. At the end of this stage, the vehicle is assembled and it can move.

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.

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.

When judging the projects we aim to be as fair as possible and identify the projects which are better than ordinary. We are looking for original ideas, something new or something that is improving what existed before, projects well executed and well documented. The jury will be formed by Freescale experienced engineers from two business groups who will try to be as objective as possible and determine the top three projects. The criterion and their weights are depicted below. Criterion Explanation Weight Originality Is this something new or improving something that existed before ? 20% Execution Does it do what it should do? Does it behave according to documentation in multiple scenarios ? Are there stability problems? 40% Usability Is the project easy to use and/or integrate ? Is it easy to understand and learn? 10% Utility Does it have applicability within the IoT or Automotive domains ? 10% Documentation Is the documentation easy to be read and understood? Is anyone with average knowledges on embedded able to reproduce the projects? 20%

Am construit cadrul harpei, am montat diodele laser (alimetate de baterii, cu un intrerupator) si am montat si realizat si circuitul cu fotorezistoare.

Arduino IDE patch for UDOO

-an administrator would be able to access and configure the applications remotely or locally based on mail and a password authentication method. -it can be done over a remote connection (webserver or phone) bonus activities: -an administrator can add, edit or remove requests using the LCD. -on index page are displayed number of requests,  available hours to be reserved through "Check Available Hours" feature and logs, which can be found in the admin platform. -these statistics can be available locally (on the LCD) or remotely (web or phone)

Aplicatia administrativa a bazei de date. Design-ul este inca primar deoarece sunt singur in echipa si nu am apucat sa fac si design-ul dar core-ul merge. Pentru cine vrea sa vada cum merge cu mana lui: Adresa: catalin.etrandafir.ro Cont administrator: username - admin parola - admin Daca se buguieste puteti sa puneti un comentariu :smileygrin:

-we implemented the QR code generator(not 100%) -the generated QR code contains info from a specific request -as a security and selection method for delete/modify tasks we implemented an unique ID for each reservation, without it you can not delete or modify a request -from now on the site can we accessed using the following address LEC 2017 - Reservation Request  -you can find the entire project+apk for the phone app on our bitbucket repository

Pentru aceasta etapa am implementat o aplicatie in python, folosind opencv, prin intermediul careia calculam distanta de la camera la obiectul nostru. Am considerat numarul masinii din fata ca fiind un dreptunghi verde. Metoda pe care o folosim pentru a calcula distanta pana la obiect se bazeaza pe asemanarea triunghiurilor, iar formula pe care am implementat-o este: D = (W x F) / P W: latime obiect F: distanta focala P: latimea perceputa de camera P.S. Cand am masurat pentru 60 cm, initial masura bine dar apoi telefonul a intrat in cadru si camera a detectat un contur mai mic, de aceea nu este foarte exact.

he attached lecture is an introduction about Advanced Driver Assistance Systems.