MATEC Web Conf.
Volume 322, 2020MATBUD’2020 – Scientific-Technical Conference: E-mobility, Sustainable Materials and Technologies
|Number of page(s)||7|
|Section||E-mobility, Sustainable Materials and Technologies|
|Published online||14 October 2020|
Hybrid imaging-AI approach for handling critical situations in a fast-changing environment: preliminary study
Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland
* Corresponding author: firstname.lastname@example.org
The purpose of this study is to explore the possibility of using selected imaging technologies in automated video surveillance systems. The main goal of this project is to handle events that may lead to security risks, injuries, etc in various environments without relaying on more conventional sensors such as infrared photocells. For this purpose it is necessary to perform a thorough analysis of the events to be interpreted as situations of interest. It is also important to consider the hardware requirements and restrictions for developing such system. The project requires defining a hardware as well as software platform(s) and their integration into an automated tool. This paper describes the implementation of the famous Microsoft Kinect 2.0 depth sensor (well known in gaming and recreational applications) for shape/skeleton detection, and its integration into an artificial intelligence based platform utilizing selected machine learning methods. The author reveals the system implementation details, and then demonstrates its shape detection capabilities while in operation.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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