Face recognition on embedded devices: a proof of concept for residential application

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dc.contributor.advisor Pelillo, Marcello it_IT
dc.contributor.author Petricca, Marco <1984> it_IT
dc.date.accessioned 2020-02-17 it_IT
dc.date.accessioned 2020-06-16T05:24:35Z
dc.date.available 2021-07-06T07:26:57Z
dc.date.issued 2020-03-13 it_IT
dc.identifier.uri http://hdl.handle.net/10579/16226
dc.description.abstract Face recognition is a well-known technique with a wide range of existing real world applications. Residential systems, like video intercom or security alarm, are instead nearly unfamiliar terrain to such methods with few commercial solutions available today in the market. A leading company in the sector has called for a research, with the purpose of assessing the feasibility of equipping their embedded video intercom systems with a feature for automatic identification and authorization of the calling subject. In this paper a combination of face detection and recognition methods on such system has been studied and evaluated, leading to a proof of concept in order to verify the feasibility assumptions, and support the claimant company decision process on investing for prototype development and final product extensions and adjustments. Early promising results suggest that the proposed system could prove usable, complying with constraints such as providing a reasonable recognition rate and execution time, running on embedded hardware and being user-friendly. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Marco Petricca, 2020 it_IT
dc.title Face recognition on embedded devices: a proof of concept for residential application it_IT
dc.title.alternative Face recognition on embedded devices: a proof of concept for residential application​ it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Informatica - computer science it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Scienze Ambientali, Informatica e Statistica it_IT
dc.description.academicyear 2018/2019, sessione straordinaria it_IT
dc.rights.accessrights embargoedAccess it_IT
dc.thesis.matricno 795687 it_IT
dc.subject.miur INF/01 INFORMATICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.provenance.upload Marco Petricca (795687@stud.unive.it), 2020-02-17 it_IT
dc.provenance.plagiarycheck Marcello Pelillo (pelillo@unive.it), 2020-03-02 it_IT


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