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2022 Conference article Closed Access

Augmented reality, artificial intelligence and machine learning in Industry 4.0: case studies at SI-Lab
Bruno A, Coscetti S, Leone G. R., Germanese D., Magrini M., Martinelli M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Tampucci M.
In recent years, the impressive advances in artificial intelligence, computer vision, pervasive computing, and augmented reality made them rise to pillars of the fourth industrial revolution. This short paper aims to provide a brief survey of current use cases in factory applications and industrial inspection under active development at the Signals and Images Lab, ISTI-CNR, Pisa.Source: Ital-IA 2022, Torino, 9-11/02/2022
DOI: 10.5281/zenodo.6322733

See at: CNR ExploRA Restricted


2022 Conference article Open Access OPEN

Computer vision per sistemi di trasporto intelligenti: il progetto S.Pa.Ce.
Leone G. R., Carboni A., Nardi S., Moroni D.
Lo Smart Passenger Center (SPaCe) è una piattaforma integrata che mira a superare la complessità della gestione centralizzata delle infrastrutture di trasporto pubblico e dei veicoli. Il motore di intelligenza artificiale esamina i flussi quotidiani di persone, correla dati ed eventi diversi, prevede minacce ed eventi critici e propone contromisure. Questa enorme mole di dati proviene da una rete pervasiva di telecamere intelligenti che monitora costantemente le attività in stazioni, treni, autobus e altri luoghi di interesse. In questo lavoro, presentiamo il sottosistema distribuito di visione artificiale, lo stato dell'arte delle tecniche adottate e le funzionalità avanzate che questo sistema di sorveglianza intelligente offre ai livelli superiori di SPaCe. Tutto è sviluppato seguendo il paradigma della privacy-by-design: nessuna immagine viene registrata o trasmessa, ma tutte le elaborazioni avvengono sui nodi periferici del sistema.Source: ITAL-IA 2022 - Convegno nazionale CINI sull'intelligenza Artificiale, Turin, Online conference, 10/02/2022
DOI: 10.5281/zenodo.6336723

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2022 Conference article Open Access OPEN

Toward pervasive computer vision for intelligent transport system
Leone G. R., Carboni A., Nardi S., Moroni D.
The Smart Passenger Center (SPaCe) is a fully integrated platform that aims to overcome the complexity of centralized management of public transport infrastructure and vehicles. The SPaCe artificial intelligence engine predicts threats and critical events and proposes countermeasures by examining the daily flows of people and correlating different data and events, thanks to machine learning and big data analytics. All this massive data comes from a pervasive smart cameras network that constantly monitors activities in stations, trains, buses and other places of interest. In this work, we present the idea of this computer vision distributed sub-system, the state of the art of the techniques involved and the advanced functionalities that this intelligent surveillance system offers to the upper layers. Everything is developed following the privacy-by-design paradigm; namely, no real image is recorded or transmitted, but all the elaborations take place on the edge nodes of the system.Source: PERCOMM 2022 - IEEE International Conference on Pervasive Computing and Communications, Pisa, Italy, 21-25/03/2022
DOI: 10.1109/percomworkshops53856.2022.9767376

See at: ISTI Repository Open Access | ieeexplore.ieee.org Restricted | CNR ExploRA Restricted


2021 Report Open Access OPEN

SI-Lab Annual Research Report 2020
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Annual Report, ISTI-2021-AR/001, pp.1–38, 2021
DOI: 10.32079/isti-ar-2021/001

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Restricted

SPaCe - Documento di studio e definizione delle tecnologie e degli algoritmi di analitica del trasporto pubblico
Leone G. R., Moroni D., Magrini M., Pardini F., Carboni A.
Nel contesto del progetto Space in questo documento verrà presentato uno studio e la definizione delle tecnologie applicabili al trasporto pubblico. I casi d'uso di interesse sono principalmente due: il caso d'uso su gomma, con riferimento a mezzi tipo bus cittadini, e il caso d'uso su rotaia, in riferimento al trasporto ferroviario. Gli obiettivi sono molteplici e riguardano principalmente il comportamento dei passeggeri a bordo o in attesa dei mezzi, la ricostruzione di un viaggio che consiste nella concatenazione di tratte effettuate su mezzi diversi, il controllo degli oggetti e il monitoraggio dello stato dei mezzi sia per questioni di sicurezza che di manutenzione degli stessi. In generale sono state identificate due macro aree di riferimento: Controllo degli spazi e Controllo dei passeggeri.Source: ISTI Project report, SPaCe, D1.4.1, 2021

See at: CNR ExploRA Restricted


2020 Journal article Open Access OPEN

Monitoring ancient buildings: real deployment of an IoT system enhanced by UAVs and virtual reality
Bacco M., Barsocchi P., Cassarà P., Germanese D., Gotta A., Leone G. R., Moroni D., Pascali M. A., Tampucci M.
The historical buildings of a nation are the tangible signs of its history and culture. Their preservation deserves considerable attention, being of primary importance from a historical, cultural, and economic point of view. Having a scalable and reliable monitoring system plays an important role in the Structural Health Monitoring (SHM): therefore, this paper proposes an Internet Of Things (IoT) architecture for a remote monitoring system that is able to integrate, through the Virtual Reality (VR) paradigm, the environmental and mechanical data acquired by a wireless sensor network set on three ancient buildings with the images and context information acquired by an Unmanned Aerial Vehicle (UAV). Moreover, the information provided by the UAV allows to promptly inspect the critical structural damage, such as the patterns of cracks in the structural components of the building being monitored. Our approach opens new scenarios to support SHM activities, because an operator can interact with real-time data retrieved from a Wireless Sensor Network (WSN) by means of the VR environment.Source: IEEE access (2020). doi:10.1109/ACCESS.2020.2980359
DOI: 10.1109/access.2020.2980359

See at: IEEE Access Open Access | IEEE Access Open Access | ieeexplore.ieee.org Open Access | IEEE Access Open Access | IEEE Access Open Access | ISTI Repository Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | IEEE Access Open Access


2020 Report Closed Access

WeAreClouds@Lucca - D1.3 Definizione dei requisiti
Carboni A., Massoli F. V., Moroni D., Leone G. R., Falchi F.
Deliverable D1.3 Definizione dei requisiti del progetto WeAreClouds@LuccaSource: ISTI Project report, WeAreClouds@Lucca, D1.3, 2020

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2019 Journal article Open Access OPEN

Visible and infrared imaging based inspection of power installation
Jalil B., Pascali M. A., Leone G. R., Martinelli M., Moroni D., Salvetti O., Berton A.
The inspection of power lines is the crucial task for the safe operation of power transmission: its components require regular checking to detect damages and faults that are caused by corrosion or any other environmental agents and mechanical stress. During recent years, the use of Unmanned Autonomous Vehicle (UAV) for environmental and industrial monitoring is constantly growing and the demand for fast and robust algorithms for the analysis of the data acquired by drones during the inspections has increased. In this work, we use UAV to acquire power transmission lines data and apply image processing to highlight expected faults. Our method is based on a fusion algorithm for the infrared and visible power lines images, which is invariant to large scale changes and illumination changes in the real operating environment. Hence, different algorithms from image processing are applied to visible and infrared thermal data, to track the power lines and to detect faults and anomalies. The method significantly identifies edges and hot spots from the set of frames with good accuracy. At the final stage we identify hot spots using thermal images. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: Pattern recognition and image analysis 29 (2019): 35–41. doi:10.1134/S1054661819010140
DOI: 10.1134/s1054661819010140

See at: ISTI Repository Open Access | Pattern Recognition and Image Analysis Restricted | Pattern Recognition and Image Analysis Restricted | Pattern Recognition and Image Analysis Restricted | Pattern Recognition and Image Analysis Restricted | Pattern Recognition and Image Analysis Restricted | CNR ExploRA Restricted


2019 Conference article Open Access OPEN

Architectural Heritage: 3D Documentation and Structural Monitoring Using UAV
Germanese D, Pascali M. A., Berton A., Leone G. R., Moroni D., Jalil B., Tampucci M., Benassi A.
Architectural heritage preservation and dissemination is a very important topic in Cultural Heritage. Since ancient structures may present areas which are dangerous or difficult to access, Unmanned Aerial Vehicles may be a smart solution for the safe and fast data acquisition. In this paper, we propose a method for the long term monitoring of cracking patterns, based on image processing and marker-based technique. Also the paper includes the description of a pipeline for the reconstruction of interactive 3D scene of the historic structure to disseminate the acquired data, to provide the general public with info regarding the structural health of the structure, and possibly to support the drone pilot during the survey. The Introduction provides a state of the art about the crack monitoring from visible images; it follows a description of the proposed method, and the results of the experimentation carried out in a real case study (the Ancient Fortress in Livorno, Italy). A specific section is devoted to the description of the front-end of augmented reality designed for heritage dissemination and to support the drone usage. Details about the future works conclude the paper.Source: Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2019), pp. 1–12, Pisa, January 30, 2019

See at: ceur-ws.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2019 Report Open Access OPEN

SmartPark@Lucca - D5. Integrazione e sperimentazione sul campo
Amato G., Bolettieri P., Carrara F., Ciampi L., Gennaro C., Leone G. R., Moroni D., Pieri G., Vairo C.
In questo deliverable sono descritte le attività eseguite all'interno del WP3, in particolare relative al Task 3.1 - Integrazione e al Task 3.2 - Sperimentazione sul campo.Source: Project report, SmartPark@Lucca, Deliverable D5, pp.1–24, 2019

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Conference article Open Access OPEN

Smart cities monitoring through wireless smart cameras
Moroni D., Pieri G., Leone G. R., Tampucci M.
Cities and urban environments nowadays suffer more and more discomfort due to several factors: the increase in the number of cars, the reduction, due to budget issues, of free parking, the economic difficulties in times of crisis that lead to a reduced efficiency of the public transport system. Beside these factors, an increased availability of computing facilities and devices bring the possibility to improve one of the most burdening aspects, that is the traffic generated by cars searching for a parking place. In this paper we present an approach based on wireless smart cameras to the monitoring of open air public parking areas. The main strengths of this solution lie in the independence and scalability of the proposed architecture. Independence is mainly based on autonomous intelligent cameras performing processing on-board; while scalability is mainly obtained through low cost single node which can be assembled in a wider sensors network and do not need high-cost requirements for installation.Source: 2nd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain, 07-09/01/2019
DOI: 10.1145/3309772.3309789

See at: ISTI Repository Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | dl.acm.org Restricted | dl.acm.org Restricted | CNR ExploRA Restricted


2019 Conference article Open Access OPEN

A preliminary study for a marker-based crack monitoring in ancient structures
Germanese D., Pascali M. A., Berton A., Leone G. R., Jalil B., Moroni D., Salvetti O., Tampucci M.
Historical buildings are undeniably valuable documents of the history of the world. Their preservation has attracted considerable attention among modern societies, being a major issues both from economical and cultural point of view. This paper describes how image processing and marker-based application may support the long-term monitoring of crack patterns in the context of cultural heritage preservation, with a special focus on ancient structures. In detail, this work includes a state of the art about the most used techniques in structural monitoring, a description of the proposed methodology and the experimentation details. A discussion about the results and future works concludes the paper.Source: 2nd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain, 07-09 January 2019
DOI: 10.1145/3309772.3309795

See at: dl.acm.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | dl.acm.org Restricted


2019 Contribution to conference Open Access OPEN

Parking lot monitoring with smart cameras
Amato G., Bolettieri P., Carrara F., Ciampi L., Gennaro C., Leone G. R., Moroni D., Pieri G., Vairo C.
In this article, we present a scenario for monitoring the occupancy of parking spaces in the historical city of Lucca (Italy) based on the use of intelligent cameras and the most modern technologies of artificial intelligence. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available, we propose a powerful embedded hardware solution that exploits a Deep Neural Network. Otherwise, a fully autonomous energy-harvesting node based on a low-energy custom board employing lightweight image analysis algorithms is considered.Source: I-Cities 2019 - 5th Italian Conference on ICT for Smart Cities And Communities, Pisa, Italy, 18-20 September, 2019

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2019 Conference article Open Access OPEN

Smart Cities: parking monitoring through smart cameras
Leone G. R., Moroni D., Pieri G.
One of today's major problems in medium to large cities is pollution caused by urban traffic. There are various factors that negatively affect this problem. First of all, the constant increase in vehicles, and at the same time the reduction, for budget reasons, of the number of free parking areas more or less easily reached. Moreover, due to global events such as the economic crisis, there is a general reduction in the efficiency of local public transport. In this research, we present an approach to this problem that exploits the greater availability of IT structures and devices. The solution presented offers the possibility of improving one of the most burdensome aspects, namely the traffic generated by cars looking for a parking space through an integrated and automatic management of employment levels. The procedure is based on wireless smart cameras for monitoring public outdoor parking areas. The main strengths of this solution lie in the independence and scalability of the proposed architecture. Independence is ensured by the node's modus operandi, in which processing is performed on board the intelligent camera without the need for a video stream or operator intervention. Scalability can be achieved by designing low-cost nodes that can be connected in a sensor network that does not require high installation costs. Moreover, the possibility of making such processing nodes autonomous through the use of a photovoltaic panel allows them to be installed in even more flimsy situations.Source: ICC Workshops 2019 - IEEE International Conference on Communications, pp. 1–6, Shanghai, China, 20-24 May, 2019
DOI: 10.1109/iccw.2019.8756791

See at: ieeexplore.ieee.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | xplorestaging.ieee.org Restricted


2019 Conference article Open Access OPEN

Metodologie di visione artificiale per la documentazione e il monitoraggio strutturale di costruzioni antiche mediante droni
Leone G. R., Germanese D., Moroni D., Pascali M. A., Tampucci M., Berton A.
La manutenzione e la salvaguardia del complesso patrimonio architettonico italiano rappresentano un'importante sfida che deve essere quotidianamente affrontata dalle soprintendenze e dalla amministrazioni locali e regionali. In quest'ambito, lo sviluppo delle tecnologie ICT può contribuire ad una gestione più efficiente e accurata del costruito storico. In questo intervento, si presenta un sistema di visione artificiale basato sull'utilizzo di droni che permette di monitorare lo stato di conservazione di edifici e strutture nel tempo, andando a quantificare l'entità di lesioni e ammaloramenti. Un frontend di realtà virtuale, ottenuto mediante tecniche fotogrammetriche, permette inoltre di visualizzare i dati trasmessi dal drone contestualmente ai dati raccolti da una rete di sensori wireless per il monitoraggio in situ delle strutture. Il sistema è stato testato in tre diversi casi di studio in Toscana.Source: Ital-IA 2019, primo Convegno Nazionale CINI sull'Intelligenza Artificiale, WORKSHOP AI for CULTURAL HERITAGE, Roma, 18-19 Marzo 2019

See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.ital-ia.it Open Access


2018 Journal article Open Access OPEN

Towards multimodal surveillance for smart building security
Amato G., Barsocchi P., Falchi F., Ferro E., Gennaro C., Leone G. R., Moroni D., Salvetti O., Vairo C.
The main goal of a surveillance system is to collect information in a sensing environment and notify unexpected behavior. Information provided by single sensor and surveillance technology may not be sufficient to understand the whole context of the monitored environment. On the other hand, by combining information coming from different sources, the overall performance of a surveillance system can be improved. In this paper, we present the Smart Building Suite, in which independent and different technologies are developed in order to realize a multimodal surveillance system.Source: Proceedings (MDPI) 2 (2018). doi:10.3390/proceedings2020095
DOI: 10.3390/proceedings2020095
DOI: 10.5281/zenodo.1159162
DOI: 10.5281/zenodo.1159161

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2018 Conference article Open Access OPEN

To identify hot spots in power lines using infrared and visible sensors
Jalil B., Pascali M. A., Leone G. R, Martinelli M., Moroni D., Salvetti O.
The detection of power transmission lines is highly important for threat avoidance, especially when aerial vehicle fly at low altitude. At the same time, the demand for fast and robust algorithms for the analysis of data acquired by drones during inspections has also increased. In this paper, different methods to obtain these objectives are presented, which include three parts: sensor fusion, power line extraction and fault detection. At first, fusion algorithm for visible and infrared power line images is presented. Manual control points describe as feature points from both images were selected and then, applied geometric transformation model to register visible and infrared thermal images. For the extraction of power lines, we applied Canny edge detection to identify significant transition followed by Hough transform to highlight power lines. The method significantly identify edges from the set of frames with good accuracy. After the detection of lines, we applied histogram based thresholding to identify hot spots in power lines. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: MISSI 2018 - International Conference on Multimedia and Network Information System, pp. 313–321, Wroclaw, Poland, 11-14 September 2018
DOI: 10.1007/978-3-319-98678-4_32

See at: ISTI Repository Open Access | ISTI Repository Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | doi.org Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | rd.springer.com Restricted


2018 Conference article Open Access OPEN

Multimodal image analysis for power line inspection
Jalil B., Leone G. R., Martinelli M., Moroni D., Pascali M. A., Salvetti O.
he use of Unmanned Aerial Vehicles (UAVs) for environmental and industrial monitoring is constantly growing. At the same time, the demand for fast and robust algorithms for the analysis of the data acquired by drones during the inspections has increased. In this paper we provide a concise survey about a peculiar case study: the monitoring of the high-voltage power grid which includes: (i) the detection of the power lines and of the electric towers along with their components more subject to wear and tear; (ii) the diagnosis of maintenance status. In this work different algorithms from image processing are applied to visible and infrared thermal data, to track the power lines and to detect faults and anomalies. We applied Canny edge detection to identify significant transition followed by Hough transform to highlight power lines. The method significantly identify edges from the set of frames with good accuracy. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence, pp. 592–596, Montreal, Canada, 14-17 May 2018

See at: ISTI Repository Open Access | CNR ExploRA Open Access | users.encs.concordia.ca Open Access


2018 Conference article Open Access OPEN

Towards structural monitoring and 3D documentation of architectural heritage using UAV
Germanese D., Leone G. R., Moroni D., Pascali M. A., Tampucci M.
This paper describes how UAVs may support the architectural heritage preservation and dissemination. In detail, this work deals with the long-term monitoring of the crack pattern of historic structures, and with the reconstruction of interactive 3D scene in order to provide both the scholar and the general public with a simple and engaging tool to analyze or visit the historic structure.Source: MISSI 2018 - International Conference on Multimedia & Network Information Systems, pp. 332–342, Wrocraw, Poland, 12-14 September 2018
DOI: 10.1007/978-3-319-98678-4_34

See at: ISTI Repository Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | doi.org Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted


2018 Journal article Open Access OPEN

Real-time smart parking systems integration in distributed ITS for smart cities
Alam M., Moroni D., Pieri G., Tampucci M., Gomes M., Fonseca J., Ferreira J., Leone G. R.
Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.Source: Journal of advanced transportation (Online) 2018 (2018). doi:10.1155/2018/1485652
DOI: 10.1155/2018/1485652
Project(s): ICSI via OpenAIRE

See at: Journal of Advanced Transportation Open Access | Journal of Advanced Transportation Open Access | Journal of Advanced Transportation Open Access | Journal of Advanced Transportation Open Access | Repositório Institucional da Universidade de Aveiro Open Access | ISTI Repository Open Access | CNR ExploRA Open Access | Journal of Advanced Transportation Open Access | ZENODO Open Access | Hyper Article en Ligne Restricted | Hyper Article en Ligne Restricted | Hyper Article en Ligne Restricted