DETECTION AND RECOGNITION OF MOVING OBJECTS FOR PHYSICAL SYSTEMS PROTECTION IN NUCLEAR FACILITIES | ||||
| Journal of Advanced Engineering Trends | ||||
| Public Titles, Volume 40, Issue 2, April 2021, Page 85-98 PDF (1.26 MB) | ||||
| DOI: 10.21608/jaet.2020.39903.1033 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mohamed Ibrahim Gaber  1; Ashraf A. M. Khalaf 2; Imbaby Mahmoud3; Mohamed El-Tokhy4
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| 1Engineering Department, Nuclear Research Center, Egyptian Atomic Energy Authority | ||||
| 2Electrical Engineering Department, Faculty of Engineering, Minia 61111, Egypt | ||||
| 3National Center for Radiation Research and Technology, Egyptian Atomic Energy Authority, Egypt. | ||||
| 4Engineering Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Egypt. | ||||
| Abstract | ||||
| Recently, the nuclear applications and services are entering in several domains of our life. It is a mandatory direction to protect the physical systems against any malicious sabotage or threat. Human activity detection and recognition techniques have a significant role in the physical protection systems. It enhances the protection regime through anomalous activity detection and authorized human-computer interaction applications. This paper is aimed to demonstrate a real-time system for moving object\human detection and recognition in order to protect the physical systems. It integrates computer vision with Internet of Things (IoT) technologies for detecting and recognizing the moving humans with their occupation times at the camera field. The proposed system can introduce more reliable and active intrusion detection scenarios with simple and low cost implementation techniques. It provides high flexibility for securing access to the monitoring information with storing for the historian purposes. Through an internet environment, the system can monitor the sensitive areas through detecting the unknown faces and their occupation times via ThingSpeak channels. The monitoring information is tracked through web based dashboards and ThingView mobile application. The system can launch automatically the alert notifications through SMS, and e-mail messages. These notifications are received whenever detecting an intruder face and exceeding the occupation times of human motion. The results provide effective features for implementing real-time and low cost applications even with low resolution cameras. | ||||
| Keywords | ||||
| Keywords: Nuclear Applications; Moving Object Detection; Internet of Things; Face Recognition; and Computer Vision | ||||
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