FPLP3D: Security robot for face recognition in the workplace environment using face pose detection assisted controlled FACE++ tool position: A three-dimensional robot
Issue title: Workplace Violence Prevention using Security Robots
Guest editors: Priyan Malarvizhi Kumar, Hari Mohan Pandey and Gautam Srivastava
Affiliations: [a] Department of Teacher Development, Dalian University of Science and Technology, Dalian, China
| [b]
Dalian University of Science and Technology, Dalian, China
| [c] Department of Applied Technology, Shenzhen Yuejiang Technology Co., Ltd., Shenzhen, China
| [d] Department of Physical Education, Tianjin Polytechnic University, Tianjin, China
| [e]
SRM Institute of Science and Technology, Chennai, India
| [f] Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India
Correspondence:
[*]
Address for correspondence: Meifeng Han, Department of Teacher Development, Dalian University of Science and Technology, Dalian 116052, China. E-mail: [email protected].
Abstract: BACKGROUND:In recent years, several tracker systems have been developed to monitor a 3-dimensional skull position for facial action whereas, various tracker systems simultaneously analyze the single sequence of video, which can be provided with low-quality cameras and less security. Initially, implementing a 2-D face detector and an unrepentance system has been suggested; furthermore, it has been improved using an integrated 3-D face initialized scheme for the real-time tracker in the present face recognition systems. OBJECTIVES:To overcome the present setbacks of the conventional systems, Face Pose Detection assisted controlled FACE++ tool position of Three-Dimensional Robot (FPLF3D) has been proposed in this article. Furthermore, the suggested proposed configuration has a high-end monitoring approach, which is used to improve the reliability of the robot’s human-machine contact in the workplace environment for security assistance. Additionally, the robot’s direction can be controlled by the operator’s head position assessment of the camera (or any active viewing system) using a three-dimensional robot. RESULTS:Besides, the applications that are imitated by headers like telepresence, computer-generated reality, and video competitions will directly take advantage of the strategies introduced in this paper. CONCLUSION:Finally, real video tests at the lab-scale level show the accuracy and usefulness of the approaches proposed in this research outperform the existing methods used for tracking.
Keywords: 3D recognition robot, security enhancement, human-machine contact, security
