Abstract
This paper experimentally investigates the performance of visible light based optical camera communications (OCC) link with motion detection (MD) for the optical Internet of things applications. This efficient MD can be considered another functionality of OCC in addition to traditional features of vision, illumination data communications and sensing. The experiments were conducted in an indoor static downlink OCC system employing a mobile phone front camera is employed as the receiver and an $8\times 8$ red, green, and blue (RGB) light-emitting diode array as the transmitter. The motion is detected by observing the user's finger movement in the form of centroid through the OCC link via a camera. The experiment results demonstrate that, the proposed scheme can detect all considered motions accurately with acceptable bit error rate (BER) performances at a transmission distance of up to 80 cm. We show a BER of $1.7\times 10^{-3}$ below the forward error correction limit of $3.8\times 10^{-3}$ over a transmission distance of up to 1 m. The proposed neuron based MD combined together with OCC can be considered an efficient system, which provides illumination, communications, and motion detection in a convenient smart home environment.
Highlights
The smartphone or camera based visible light communications (VLC) termed as optical camera communications (OCC) has been studied within the framework of optical wireless communications and is considered in IEEE 802.15.7rl standard [1, 2]
We focus on the analysis of neuron based motion detection (MD) in OCC by considering the training parameters for the processing time, the iterations carried out by neural network (NN) for MD, accuracy of MD and the OCC communications link quality in terms of the bit error rate (BER) performance with respect to the transmission range
The performance was evaluated in terms of the training time window, training iterations, MD accuracy, and BER performance were investigated
Summary
The smartphone or camera based visible light communications (VLC) termed as optical camera communications (OCC) has been studied within the framework of optical wireless communications and is considered in IEEE 802.15.7rl standard [1, 2]. The OCC utilizes a mobile phone CMOS camera as the receiver and can, [5] capture two-dimensional data in the form of image sequences, being able to transmit more dimensional information compared to photodetector-based VLCs. VLC and OCC with huge frequency spectrum integrated with the internet of things (IoT) can open up a wide range of indoor as well as outdoor applications using optical transmission links. The concept of motion detection has been studied as an addon functionality both in OCC and VLCs along with the provision of illumination and short-range wireless communications [6, 7] The latter is termed as motion over a camera [6], which can be used for controlling signal transmission in IoT networks. The proposed neuron based MD can be used for control of data communications in Optical IoT networks
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