Capacity of screen–camera communications under perspective distortions

Ashok, Ashwin; Jain, Shubham; Gruteser, Marco; Mandayam, Narayan B.; Yuan, Wenjia; Dana, Kristin

doi:10.1016/j.pmcj.2014.11.003

Cited by 19 publications

(12 citation statements)

References 10 publications

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“…The OCC system's capacity can be derived from Shannon's capacity formula. According to Ashok et al [18], the capacity of a camera-based communication depends on the deterministic nature of the perspective distortions and the Additive white Gaussian noise (AWGN)characteristics of the communication channel and is expressed as…”

Section: Pixel Sinrmentioning

confidence: 99%

Performance Analysis and Improvement of Optical Camera Communication

et al. 2018

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Optical camera communication (OCC) is a technology in which a camera image sensor is employed to receive data bits sent from a light source. OCC has attracted a lot of research interest in the area of mobile optical wireless communication due to the popularity of smartphones with embedded cameras. Moreover, OCC offers high-performance characteristics, including an excellent signal-to-interference-plus-noise ratio (SINR), high security, low interference, and high stability with respect to varying communication distances. Despite these advantages, OCC suffers from several limitations, the primary of which is the low data rate. In this paper, we provide a comprehensive analysis of the parameters that influence the OCC performance. These parameters include the camera sampling rate, the exposure time, the focal length, the pixel edge length, the transmitter configurations, and the optical flickering rate. In particular, the focus is on enhancing the data rate, SINR, and communication distance, which are the principal factors determining the quality of service experienced by a user. The paper also provides a short survey of modulation schemes used in OCC on the basis of the achieved data rate, communication distance, and possible application scenarios. A theoretical analysis of user satisfaction using OCC is also rendered. Furthermore, we present the simulation results demonstrating OCC performance with respect to variations in the parameters mentioned above, which include the outage probability analysis for OCC.

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Section: Pixel Sinrmentioning

confidence: 99%

Performance Analysis and Improvement of Optical Camera Communication

et al. 2018

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“…8, where a cell is highlighted before and after quantization. In this section, SVLC is compared to similar systems, described in Visual MIMO [18], Pixnet [26] and COBRA [27]. Some key properties are listed in Table 1.…”

Section: D) Quantizationmentioning

confidence: 99%

“…To locate the reference LEDs, an edge detection scheme based on Hough transform was used in [17]. In [18], the capacity of smartphone camera (SC) communications considering the inherent distortions and varying the distance between the Tx and the Rx was investigated. However, in this work the interference between pixels was not considered in the analysis.…”

Section: Introductionmentioning

confidence: 99%

Smartphone Camera Based Visible Light Communication

Boubezari

Minh

Ghassemlooy

et al. 2016

J. Lightwave Technol.

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Abstract-The paper proposes a novel camera-based receiver for visible light communications for a short range mobile-tomobile communications link. The receiver captures data from the screen of a transmitting smartphone and uses the speeded up robust features algorithm to effectively detect it. The receiver performs a projective transformation to accurately eliminate perspective distortions caused by the displacement of the devices. The paper also introduces a quantization process in order to suppress the inter-symbol interference resulting from the dynamic nature of the environment. A range of experiments are carried out in order to evaluate the system performance when the position parameters are varied. We show that the proposed system is capable of achieving a very high success rate of 98% in recovering the transmitted images under test conditions.

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“…Besides, the change of intensity in the image is less complicated than the other methods that have been proposed previously for display-camera communication such as visual MIMO base methods. 23,24 In addition, the geometric effect which is one of the major problem for visual MIMO-based method can be eliminated effortlessly because the change of intensity of an image remains with change in the geometric position of a camera device. Furthermore, the photometric effect is negligible to a certain extent because the data is extracted by comparing two consecutive image frames of the transmitter and the illumination changes affects both image frames similarly.…”

Section: Invisible Iscmentioning

confidence: 99%

Performance analysis of smart digital signage system based on software-defined IoT and invisible image sensor communication

Hossain

Islam

et al. 2016

International Journal of Distributed Sensor Networks

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Everything in the world is being connected, and things are becoming interactive. The future of the interactive world depends on the future Internet of Things (IoT). Software-defined networking (SDN) technology, a new paradigm in the networking area, can be useful in creating an IoT because it can handle interactivity by controlling physical devices, transmission of data among them, and data acquisition. However, digital signage can be one of the promising technologies in this era of technology that is progressing toward the interactive world, connecting users to the IoT network through device-to-device communication technology. This article illustrates a novel prototype that is mainly focused on a smart digital signage system comprised of software-defined IoT (SD-IoT) and invisible image sensor communication technology. We have proposed an SDN scheme with a view to initiating its flexibility and compatibility for an IoT network-based smart digital signage system. The idea of invisible communication can make the users of the technology trendier to it, and the usage of unused resources such as images and videos can be ensured. In addition, this communication has paved the way for interactivity between the user and digital signage, where the digital signage and the camera of a smartphone can be operated as a transmitter and a receiver, respectively. The proposed scheme might be applicable to real-world applications because SDN has the flexibility to adapt with the alteration of network status without any hardware modifications while displays and smartphones are available everywhere. A performance analysis of this system showed the advantages of an SD-IoT network over an Internet protocol-based IoT network considering a queuing analysis for a dynamic link allocation process in the case of user access to the IoT network.

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Capacity of screen–camera communications under perspective distortions

Cited by 19 publications

References 10 publications

Performance Analysis and Improvement of Optical Camera Communication

Performance Analysis and Improvement of Optical Camera Communication

Smartphone Camera Based Visible Light Communication

Performance analysis of smart digital signage system based on software-defined IoT and invisible image sensor communication

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