Design and development of real-time video transmission system using visual IoT device

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Abstract

Visual Internet of Things (IoT) is a class of IoT that collects rich visual data over the Internet. In general, the visual IoT device is equipped with video transmission equipment such as a mobile camera. Both advanced video transmission techniques and information extraction from images by image recognition techniques are key techniques for the visual IoT. However, since the video data size is larger than the sensor data size in general, one of the issues of visual IoT is high-performance video transmission in networks in which the bandwidths are limited. In this paper, we design a real-time video transmission system using visual IoT device. Our system is based on a novel protocol, named high-performance video transmission (HpVT), for field monitoring via 4G LTE mobile networks. Our implementation of the system is based on Raspberry Pi boards, which are single-board computers with ARM processor. We evaluate the performance of our system in real fields to conclude that we can achieve full high-definition (full HD) resolution video transmission with as high frame rate as 30 fps even from a vehicle moving on a highway.

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APA

Murata, K. T., Mizuhara, T., Pavarangkoon, P., Yamamoto, K., Muranaga, K., & Aoki, T. (2018). Design and development of real-time video transmission system using visual IoT device. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11248 LNAI, pp. 263–269). Springer Verlag. https://doi.org/10.1007/978-3-030-03014-8_25

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