2021-2022
  • Drone
  • Mine
  • Arduino

Real-time light sleep recognition performed by a smart alarm clock When analysing sleep quality, it is important to consider the homeostasis of the sleep phases, especially the REM phase. The latter, which takes about 20-25% of the nocturnal cycle, should in fact neither be reduced by intermediate nocturnal awakenings, since it could cause states of disorientation and reduce memory and the ability to concentrate, nor prolonged as it would produce an excessive brain activity with significant repercussions on the affective-behavioral side (greater irritability, depressive and anxious symptoms). Due to these reasons, it is considered useful to develop a specific device that can support the sleep quality avoiding the possibility of being awakened during a phase which is not strictly suitable.

Gortani Simone, Cuttini Matteo, Antonipieri Marco

  • Embedded systems
  • BLE
  • Sleep monitoring

Smart Agriculture AA 20/21 This Smart Agriculture project consists of using LoRa technology to build a low-cost IoT prototype that allows the parameters of a field and a greenhouse (parameters such as temperature, soil moisture, UV light, etc.) to be monitored remotely using modules with sensors placed in the area of interest and a gateway that receives the transmissions from these modules. The data collected can be viewed remotely via a graphical interface from any device with an internet connection, subject to security authentication. The strengths of the project are the low energy consumption of the modules, which allows them to be autonomous, the possibility of transmitting data without the subscription costs of LTE solutions, the high operating range of wireless communication and the total customisation of the modules.

Ivan Di Betta, Klaid Shyti, Lorenzo Zaccomer

  • LoRa
  • LoRaWAN
  • Gateway

Smart Mirror AA 20/21 No abstract available

Bernardi Thomas, Gerussi Enrico

  • Smart Mirror
  • Two Way Mirror
  • Raspberry Pi

Smart-Speed-Camera: automatic driver identification The practice of false declaration of the identity of the driver who committed an infringement is very common in Italy because speed cameras takes a picture only of the car (mostly from behind) making driver identification impossible. Assuming that every car has a device installed that can read the identification code of a smart driver's license, the purpose of this project is to implement a way to share this data with the speed-camera in order to identify the driver who committed the infringement with absolute certainty. So we had developed a Client-Server communication between cars (clients) and speed-camera (server) to share the driver's detail with the speed-camera. The communication is encrypted by an RSA algorithm and is secured against multiple types of attack using hash function comparison and nonce comparison. To identify the car that committed an infringement a neural network had been developed to read cars' plate. When an infringement is committed the driver's details are retrieved from the police server and shown on server's monitor.

Codutti Gabriele, Mosolo Denis

  • Smart-Speed-Camera
  • Client-Server communication
  • Neural Network
2020-2021

SD Card with hidden partition This project focuses on the realization of a SD card prototype whose main property is the fact that it has an integrated memory partition accessible by the user thanks to a unique enabling device which allows the access to that zone in an exclusive manner. This means that only the user endowed with the enabling device is able to perform reading/writing operations on that special partition. To realize a higher security level, the hidden partition is disabled by the card every time the hosting device powers itself off. Therefore, the user must extract the SD card from the hosting device and insert it into the enabling device to gain access to the hidden partition once again. Once the partition has been enabled, the card can be inserted into the hosting device. This prototype has been realized in VHDL language to implement it on a FPGA.

Matteo Stefanutti, Cristiano Modesti

  • SD Card
  • Memory
  • security
2019-2020

Impedenzimetro No abstract available

An Arduino-based impedance meter

rossi_alex_@outlook.it, alessio.sgualdino@libero.it

  • impedenzimetro
  • modulatore in quadratura
  • AD9833

Steganographic phone AA 2019/2020 No abstract available

Zampieri Sara, Drius Andrea, Marini Matteo

  • steganography
  • python
  • stream
2018-2019
  • Speech recognition
  • Speech synthesis
  • C sharp
  • SmartTimeTracker
  • RaspberryPi 3A+
  • Python

SmartOctahedron, un TimeKeeper semplice e smart! (AA 2018-2019) SmartOctahedron is a project developed by Nicholas Bon, Alessio Cortiula, Alessio De Prà and Federico Spagnolo at the University of Udine, under the course of "Didactic Laboratory of Information Engineering" by prof Riccardo Bernardini (Master degree in Electronic Engineering). SmartOctahedron is a timekeeper: a device who measure the time spent for each different job in a context. User can choose the current activity by rotating the octahedron on the correct face. The device is connected to a smartphone via Bluetooth. The smartphone collects all the data and show the user a list of all jobs followed by the time spent for each one. The Xamarin based application can store and manage all the data received in various captures.

Nicholas Bon, Alessio Cortiula, Alessio De Prà, Federico Spagnolo

  • timekeeper
  • arduino
  • electronics

Sniper Remote Scope The Sniper Remote Scope project concerns on a multidisciplinary teamwork that covers different fields as hardware design and firmware development for the sensing part, math and software development for the robot kinematics and vision part and, last but not least, computing and networking for data trasmission and interfacing. The aim of the whole project is to build a vision based digital rifle scope able to provide an augmented reality service helping the shooter in all the situations in which the visibility is low. The main idea of the whole work is to use a vision based approach to reconstruct the relative pose, aka the unknown positions, between two cameras, located in a neighborhood of the target, in a stereo RGB-D setup and a laser projector on the rifle. Once the relative transformation between rifle and target is known, we use the orientation of the rifle measurements in yaw and pitch angles taken by two angular sensors and all the obtained kinematic transformations to intersect a virtual ray lying on the gun barrel and the target to obtain, on the LCD, the right point where the gunshot would go.

Fornasier Alessandro - 124302, Marcon Mattia - 92558, Mazzer Simone - 124300, Zannier Giulio - 124577

  • Remote scope
  • Vision based estimation
  • Kinematics transformation
  • Arduino
  • Photovoltaic
  • Internet of Things
  • Internet Of Things
  • visible light
  • vlc communication
2017-2018
  • cuffie attive
  • real time audio
  • noise detect
  • Impulsive Noise Reduction
  • ANR
  • clipping
  • Drone
  • Trasmettitore
  • Radar
  • audio
  • DBPSK
  • inaudible sounds
2016-2017
  • Arduino
  • Android
  • InfraRed
  • EIT
  • matrice impedenza
  • labview
  • TCP
  • UDP
  • Android
  • videoconferenza
  • correlazione
  • angolo di arrivo
2015-2016

Eye Tracker Il progetto consiste nella realizzazione di un tracciatore oculare basato sull’algoritmo di starburst e i contesti applicativi in cui si inserisce sono svariati. Esso può infatti essere utilizzato in ambiti quali: * scrittura oculare per soggetti affetti da disfunzioni motorie * indagini pubblicitarie per l’analisi dell'attenzione e dei punti focali * web marketing per l’usabilità di un sito Web * applicazioni militari per la gestione di sistemi di guida e di arma in diversi veicoli * applicazioni ludiche in fatto di realtà aumentata Lo scopo del progetto è quello di realizzare un dispositivo low cost e open source che potrà essere utilizzato senza necessità di strumenti avanzati e in seguito sviluppato a seconda dell’applicazione di interesse. In particolare, il dispositivo si classifica come un sistema head-mounted nel senso che lo strumento di tracciatura deve essere indossato dall’utente. Il progetto è stato realizzato con il toolkit Openframeworks che a sua volta sfrutta le funzioni di libreria di OpenCv per la gestione avanzata di immagini. Il complesso è eseguito su una scheda Raspberry Pi 3 B V1.2 connessa ad una videocamera PS3eye montata su un paio di occhiali senza lenti.

Bortolin Giovanni, Ferrario Andrea, Ortolan Moreno, Savoia Matteo

  • Eye Tracking
  • Raspberry-Pi
  • Human Maching Interface
  • Domotica
  • Distributed
  • Ethernet

Indoor Enviromental Quality Analyzer The purpose of the whole system is to monitor the indoor environmental parameters in order to estimate the overall quality of the interested location through a sensor network. According to the Internet of Things paradigm, I.E.Q.A. system consists of spatially distributed autonomous base stations equipped with sensors, LCD display, actuator, data storage device and a board that supports a Linux distribution with built-in WiFi support. Every single base station is able to send/receive data over WiFi (802.11b/g/n) in a Wireless Local Area Network (WLAN) to/from a virtual Linux server which is aimed to process and display data through a dedicated web application. The latter, processes the data using a mathematical model based on the combination of parameters obtained by multiple regression analysis. keywords: "IoT, distributed, WLAN, WSN, 802.11, HTTP, GET, POST, network, sensors, Arduino, Yùn, Linux, virtual machine, virtual server, heat index, multiple regression analysis, statistics, hysteresis, database, MVC, CodeIgniter"

Davide Cocco, David Palma, Jacopo Piani

  • IoT
  • distributed
  • WLAN
2014-2015

Video follower No abstract available

Mattia Dal Ben, Manuel Guglielmini

Video follower 2 No abstract available

Dazzi Martino, Mele Leandro Julian, Pilotto Alessandro

2013-2014

Cassa Intelligente No abstract available

Pangallo Bruno Mirko, Tumaini Francesco, Urban Cristiano

Thermostat No abstract available

Alessandro Brisotto, Luca Francescon, Mattia Guacci, Davide Righini

2012-2013

Mouse 3D No abstract available

Edotti Andrea, Errante Matteo, Simonetti Michele, Tonetto Enrico

Solar-powered PC No abstract available

Ferigo Diego, Kapidani Bernard

Submarine No abstract available

Roberto Cheng Hivai, Stefano Colonna, Andrea Locatelli, Michele Scarsini, Andrea Cossettini, Tommaso Rollo

2010-2011

Efficient audioconference No abstract available

Lightweight audio conference system

Caruso Enrico, Clocchiati Dario, D'Aronco Stefano, Ronco Stefano

  • audioconference
  • software
  • multicast

Efficient audioconference No abstract available

Caruso Enrico, Clocchiati Dario, D'Aronco Stefano, Ronco Stefano

  • audioconference
  • software
  • multicast

Virtual Piano No abstract available

Alessandro Biason, Giulia Giordano, Christian Olsen, Federico Pever, Stefano Venica

  • virtual piano
  • music
  • ultrasounds

Virtual Piano No abstract available

Marco Cagnelutti, Elvis Kapllaj, Marco Gava

  • virtual piano
  • music
  • ultrasounds