1,720,963 research outputs found
Machine vision and IoT applications in intelligent retail environments
No full textIl settore retail negli ultimi anni ha visto crescere sempre di più la necessità di acquisire informazioni sul comportamento dei clienti e come si muovono all’interno degli store. Queste informazioni consentono di ottimizzare il layout del punto vendita, migliorare l'offerta, innovare prodotti e massimizzare i profitti monitorando in realtime i comportamenti e le scelte dei clienti. Il punto vendita non è più ormai l'unico luogo dove avviene l'acquisto e per questo motivo deve essere in grado di allinearsi velocemente con l'esigenze dei clienti, trasformando gli spazi e l'esperienza di acquisto. Grazie all’utilizzo di soluzioni IoT basate sulla visione artificiale, sistemi di tracking indoor e sensori distribuiti per il monitoraggio ambientale è possibile raggiungere questo obiettivo. L’attività di ricerca ha avuto pertanto come focus principale lo studio ed il test di soluzioni basate sull’utilizzo di camere RGBD, sistemi UWB di tracking indoor e lo studio di reti distribuite di sensori capacitivi posizionati all’interno di pavimenti per il monitoraggio degli spostamenti. La validità dei sistemi di misura utilizzati e degli applicativi software implementati hanno permesso di realizzare un sistema completo di monitoraggio del punto vendita che, grazie all'uso di protocolli IoT di comunicazione, consente di sapere in tempo reale: quante persone entrano, come si muovano, come interagiscono, cosa comprano e quanto tempo impiegano a svolgere ciascuna delle precedenti azioni. Il percorso di ricerca è stato condotto in collaborazione con l’azienda Grottini Lab. Grazie a questa sinergia sono state effettuate numerose installazioni in ambienti di retail reali che hanno consentito di testare la validità delle soluzioni tecnologiche sviluppate ed allo stesso tempo di raccogliere numerosi dati utili all’analisi del comportamento di singoli e gruppi di individui negli ambienti retail
A heuristic approach to evaluate occurrences of products for the planogram maintenance
No full textPlanogram is a detailed visual map of products in a retail store and establishes the position of products in order to increase sales and to supply the best location for suppliers. So, the aims of “correct” planogram are several and are: increasing sales, increasing profits, introducing a new item, supporting an innovative merchandising approach, and better manages the shelves. Deviating from the planogram defeats the purpose of any of those goals. A fundamental aspect in the retail operations is to maintain the integrity of the planogram. This work intends to provide a solution to this problem, proposing a system that individually identifies the presence of a specific product in the image of a shelf. This even though the product is moved, rotated, misplaced, or even in poor lighting conditions. This paper presents a method to find and count multiple instances of the same object that occurs into an image of a shelf in a store without using classifiers. The procedures here described are based on a heuristic algorithm that involves morphological operation, template matching and histogram comparison. Experimental results are presented in order to verify the effectiveness of the proposed approach. They demonstrate that the algorithm provides satisfactory results when the user manually chooses the most significant label of the product to find in the shelf image
IOT architecture for the processing of data collected by a central vacuum cleaner
No full textThe paper reports on a use case of vertical integration and predictive maintenance, two concepts that fall within the wider “Industry 4.0” domain. We designed an Internet of Things based-system for the collection, processing and management of data coming from central vacuum cleaners. The developed embedded system for data retrieval from the vacuum via MODBUS and for sending them to a cloud server via WiFi is described in detail. We also present the software techniques used to manage data and the application developed for the presentation of collected data to several types of users: administrators, customers and distributors. Finally, they are highlighted the advantages for using information stored in optimizing the assistance service, marketing opportunities and market analysis.</jats:p
Use of an energy harvesting smart floor for indoor localization of people
Full text linkThe development of “intelligent” floors is a growing interest, but often the ensuing solutions involve high production costs as well as complicated installation and management. Aim of this paper is to propose a novel smart floor that makes use of an energy harvesting system in order to allow people localization and to track their movements in an indoor environment. The contribution starts from reviewing the state of the art of smart floor solutions, which are categorized according to the different applications they are addressed to. The system developed in this research is based on capacitive sensors that are mounted on a polymeric support and embedded between a bulk wooden base and floating parquet flooring. The paper outlines the detailed architecture of the proposed apparatus and reports the results of the preliminary test phase. The proposed solution is part of HDOMO, an Ambient Assisted Living (AAL) project aiming at the development of smart solutions for active aging
Robust and affordable retail customer profiling by vision and radio beacon sensor fusion
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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