Walter Nunziati

In CHEST/TrafficFlow, we will ask people, to use our technology to set up traffic monitoring points from their windows, balcony or other vantage points to layout a network of sensors of high coverage for this area, effectively setting up an integrated and participatory traffic monitoring initiative.
Within our campaign, we will integrate our technology with an online platform for smart cities, in order to maximise the impact of the project in terms of affected users. We will also release the… Show more

In CHEST/TrafficFlow, we will ask people, to use our technology to set up traffic monitoring points from their windows, balcony or other vantage points to layout a network of sensors of high coverage for this area, effectively setting up an integrated and participatory traffic monitoring initiative.
Within our campaign, we will integrate our technology with an online platform for smart cities, in order to maximise the impact of the project in terms of affected users. We will also release the collected data in order to promote the diffusion of actual information through social media or mobile applications, that will help to steer the public toward better, more sustainable mobility modes.
Follow our updates on Facebook (https://www.facebook.com/CHESTTrafficFlow), and twitter (https://twitter.com/ChestTrFlow).
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Short-Term Expert for a twinning program on tourism between Jordan and Italy. Joined the Jordan Ministry of Tousrism and Antiquities to bring expertise on the design and development of mobile applications related to tourism, based on the eperience gained with Firenze Turismo mobile app in Florence.

PITAGORA: Piattaforma Integrata per la Gestione delle Operazioni Aeroportuali

The SOLE-CUT project will provide advanced technical devices (tools and machine tools) and competitive ready-to-market solutions for the stone machining sector. SOLE-CUT will develop shared knowledge, practical know-how and a modern background of simulation methodologies and codes capable of designing and creating new families of high performing stone-cutting-machines. Innovative Shape Memory Alloys and Super-elastic materials will be considered for wire rope (substituting conventional steels)… Show more

The SOLE-CUT project will provide advanced technical devices (tools and machine tools) and competitive ready-to-market solutions for the stone machining sector. SOLE-CUT will develop shared knowledge, practical know-how and a modern background of simulation methodologies and codes capable of designing and creating new families of high performing stone-cutting-machines. Innovative Shape Memory Alloys and Super-elastic materials will be considered for wire rope (substituting conventional steels) and technical, economic and ecological consistency of materials will be considered, thus producing innovative and green solutions for a more sustainable cutting process. SOLE-CUT proposes an innovative monitoring system, which applies machine vision technology for automatic surface inspection and fault / anomaly prevention in the cutting / carving process. SOLE-CUT groups 4 SMEs, from 3 Regions and 2 countries and integrates scientific and technological expertise with multi-year experience in stone manufacturing. Show less

MUSINT is a web exhibition of Archeological collections from ancient Greece that can be found in several Tuscan Museums.

Multi-touch software application made for GE Transportation for InnoTrans 2012 fair.
It's a product showcase application with large collection of images, video, interactive 3D model and value proposition applications.

WInspect - Textile Web Inspection Framework, is a project co-financed by the CrossTexNet Project, the Regional Government of Tuscany (Italy), Tubitak – the Scientific and Technological Research Council of Turkey, and Centrul National de Management Program (Romania).
Automatic inspection in the textile sector is difficult and costly due to the variety of materials, possible defects in these materials, and finally to the range of cameras and devices that can be used for quality control.
Aim… Show more

WInspect - Textile Web Inspection Framework, is a project co-financed by the CrossTexNet Project, the Regional Government of Tuscany (Italy), Tubitak – the Scientific and Technological Research Council of Turkey, and Centrul National de Management Program (Romania).
Automatic inspection in the textile sector is difficult and costly due to the variety of materials, possible defects in these materials, and finally to the range of cameras and devices that can be used for quality control.
Aim of WInspect is to develop an inspection system which enables real time defect detection in textile using image processing techniques. Show less

The growing mobility of people and goods has a very high societal cost in terms of traffic congestion and of fatalities and injured people every year. The management of a road network needs efficient ways for assessment at minimal costs.

Road monitoring is a relevant part of road management, especially for safety, optimal traffic flow and for investigating new sustainable transport patterns. Current monitoring systems based on video lack of optimal usage of networks and are difficult to… Show more

The growing mobility of people and goods has a very high societal cost in terms of traffic congestion and of fatalities and injured people every year. The management of a road network needs efficient ways for assessment at minimal costs.

Road monitoring is a relevant part of road management, especially for safety, optimal traffic flow and for investigating new sustainable transport patterns. Current monitoring systems based on video lack of optimal usage of networks and are difficult to be extended efficiently.

The ORUSSI project focuses on road monitoring through a network of roadside sensors (mainly cameras) that can be dynamically deployed and added to the surveillance systems in an efficient way.

The main objective of the project is to develop an optimized platform offering innovative real-time media (video and data) applications for road monitoring in real scenarios. We exploit low-level efficient image features in order to enable our distributed system to extract semantic information from the imagery and to optimize the video compression adaptively. Show less