10,429 research outputs found
GestĆ£o de conteĆŗdos digitais em mĆŗltiplos monitores
With the generalized use of systems for digital contents dissemination arises
the opportunity for implementing solutions capable of evaluating audience reaction.
This dissertation reflects the implementation of one of those solutions.
To this end, the development involved adapting a previously functional digital
signage system. In this sense, digital cameras were paired to the content display
terminals in order to capture information from the area in front of them.
Using computer vision technologies, the terminals detect, in real time, people
who appear in the camerasā field of view, and this information is communicated
to a server for data extraction. On the server, methods are used to perform
face and emotion recognition, and also to extract data indicating the position
of the head, which allows the calculation of an attention coefficient. The data
is stored in a relational database, and can be consulted through a web platform,
where they are presented associated with the contents corresponding
to the moment of their capture and extraction. This solution thus allows the
evaluation of the impact of the digital contents presented by the system.Com a utilizaĆ§Ć£o generalizada de sistemas de disseminaĆ§Ć£o de conteĆŗdos
digitais, surge a oportunidade de implementar soluƧƵes capazes de avaliar a
reacĆ§Ć£o do pĆŗblico. Esta dissertaĆ§Ć£o reflete a implementaĆ§Ć£o de uma dessas
soluƧƵes. Para isso, o desenvolvimento passou pela adaptaĆ§Ć£o de um
sistema de sinalizaĆ§Ć£o digital previamente funcional. Neste sentido, aos terminais
de exposiĆ§Ć£o de conteĆŗdos, foram emparelhadas cĆ¢maras digitais de
modo a permitir a captaĆ§Ć£o de informaĆ§Ć£o da Ć”rea Ć frente destes. Com recurso
a tecnologias de visĆ£o de computador, os terminais fazem, em tempo
real, deteĆ§Ć£o de pessoas que apareƧam no campo de visĆ£o das cĆ¢maras,
sendo esta informaĆ§Ć£o comunicada a um servidor para extraĆ§Ć£o de dados.
No servidor, sĆ£o utilizados mĆ©todos para realizaĆ§Ć£o de reconhecimento de
faces e emoƧƵes, e tambĆ©m Ć© feita extraĆ§Ć£o de dados indicadores da posiĆ§Ć£o
da cabeƧa, o que permite o cĆ”lculo de um coeficiente de atenĆ§Ć£o. Os
dados sĆ£o guardados numa base de dados relacional e podem ser consultados
atravĆ©s de uma plataforma web, onde sĆ£o apresentados associados
aos contĆ©udos correspondentes ao momento de captaĆ§Ć£o e extraĆ§Ć£o destes.
Esta soluĆ§Ć£o, permite, assim, a avaliaĆ§Ć£o do impacto dos conteĆŗdos digitais
apresentados pelo sistema.Mestrado em Engenharia de Computadores e TelemƔtic
Design Considerations for Multi-Stakeholder Display Analytics
Measuring viewer interactions through detailed analytics will be crucial to improving the overall performance of future open display networks. However, in contrast to traditional sign and web analytics systems, such display networks are likely to feature multiple stakeholders each with the ability to collect a subset of the required analytics information. Combining analytics data from multiple stakeholders could lead to new insights, but stakeholders may have limited willingness to share information due to privacy concerns or commercial sensitivities. In this paper, we provide a comprehensive overview of analytics data that might be captured by different stakeholders in a display network, make the case for the synthesis of analytics data in such display networks, present design considerations for future architectures designed to enable the sharing of display analytics information, and offer an example of how such systems might be implemented
Face and emotion recognition on commercial property under EU data protection law
This paper integrates and cuts through domains of privacy law and biometrics. Specifically, this
paper presents a legal analysis on the use of Automated Facial Recognition Systems (the AFRS) in
commercial (retail store) settings within the European Union data protection framework. The AFRS
is a typical instance of biometric technologies, where a distributed system of dozens of low-cost
cameras uses psychological states, sociodemographic characteristics, and identity recognition
algorithms on thousands of passers-by and customers. Current use cases and theoretical possibilities
are discussed due to the technologyās potential of becoming a substantial privacy issue. First, this
paper introduces the AFRS and EU data protection law. This is followed by an analysis of European
Data protection law and its application in relation to the use of the AFRS, including requirements
concerning data quality and legitimate processing of personal data, which, finally, leads to an
overview of measures that traders can take to comply with data protection law, including by means
of information, consent, and anonymization
Shopping For Privacy: How Technology in Brick-and-Mortar Retail Stores Poses Privacy Risks for Shoppers
As technology continues to rapidly advance, the American legal system has failed to protect individual shoppers from the technology implemented into retail stores, which poses significant privacy risks but does not violate the law. In particular, I examine the technologies implemented into many brick-and-mortar stores today, many of which the average everyday shopper has no idea exists. This Article criticizes these technologies, suggesting that many, if not all of them, are questionable in their legality taking advantage of their status in a legal gray zone. Because the American judicial system cannot adequately protect the individual shopper from these questionable privacy practices, I call upon the Federal Trade Commission, the de facto privacy regulator in the United States, to increase its policing of physical retail stores to protect the shopper from any further harm
AGE ESTIMATION UNTUK INTELLIGENT ADVERTISING PADA POSTER DIGITAL MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Sebagai bagian dari intelligent advertising, age estimation digunakan untuk menyesuaikan iklan dari hasil estimasi usia audience. Age estimation (AE) dapat dibangun menggunakan deep learning menggunakan ConvNet dengan kendala seperti data training wajah usia tua yang sedikit, ketidak seimbangan dataset di dalamnya, serta membutuhkan jumlah data yang besar. Salah satu solusi dari permasalahan ini adalah melakukan data augmentasi menggunakan model generatif ACGAN untuk melakukan generate gambar sesuai dengan kelas. Intelligent advertising pada poster digital hanya disimulasikan pada komputer. Simulasi intelligent advertising berfungsi dengan baik terlepas dari terbatasnya iklan dan tidak konsistennya hasil estimasi usia. Hasil dari penggunaan model generatifACGAN untuk data augmentation berhasil meningkatkan performa hasil pada model AE terlepas dari rendahnya skor IS dan FID serta kualitas gambar yang dihasilkan. Hasil data augmentation lebih terlihat pada model B dengan peningkatan akurasi cumulative score sebesar 4,8% dan skor MAE sebesar 1,297
Audience monitor:an open source tool for tracking audience mobility in front of pervasive displays
Understanding an audience's behavior is an important aspect of evaluating display installations. In particular, it is important to understand how people move around in the vicinity of displays, including viewer transitions from noticing a display, through approach, to final use of the display. Despite the importance of measuring viewer mobility patterns, there are still relatively few low-cost tools that can be used with research display deployments to capture detailed spatial and temporal behavior of an audience. In this paper, we present an approach to audience monitoring that uses an off-the-shelf depth sensor and open source computer vision algorithms to monitor the space in front of a digital display, tracking presence and movements of both passers-by and display users. We believe that our approach can help display researchers evaluate their public display deployments and improve the level of quantitative data underpinning our field
PUBLIC OCR SIGN AGE RECOGNITION WITH SKEW & SLANT CORRECTION FOR VISUALLY IMP AIRED PEOPLE
This paper presents an OCR hybrid recognition model for the Visually Impaired People
(VIP). The VIP often encounters problems navigating around independently because they are
blind or have poor vision. They are always being discriminated due to their limitation which can
lead to depression to the VIP. Thus, they require an efficient technological assistance to help
them in their daily activity. The objective of this paper is to propose a hybrid model for Optical
Character Recognition (OCR) to detect and correct skewed and slanted character of public
signage. The proposed hybrid model should be able to integrate with speech synthesizer for VIP
signage recognition. The proposed hybrid model will capture an image of a public signage to be
converted into machine readable text in a text file. The text will then be read by a speech
synthesizer and translated to voice as the output. In the paper, hybrid model which consist of
Canny Method, Hough Transformation and Shearing Transformation are used to detect and
correct skewed and slanted images. An experiment was conducted to test the hybrid model
performance on 5 blind folded subjects. The OCR hybrid recognition model has successfully
achieved a Recognition Rate (RR) of 82. 7%. This concept of public signage recognition is being
proven by the proposed hybrid model which integrates OCR and speech synthesizer
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