FPLP3D: Security robot for face recognition in the workplace environment using face pose detection assisted...

Area of Science:

• Robotics and Human-Computer Interaction
• Computer Vision and Machine Learning

Background:

• Conventional 3D skull tracking systems face limitations in security and video quality.
• Existing face recognition systems have been improved with integrated 3D face initialization schemes.

Purpose of the Study:

• To introduce the Face Pose Detection assisted controlled FACE++ tool position of Three-Dimensional Robot (FPLF3D) system.
• To enhance robot reliability in human-machine contact for workplace security.
• To enable robot direction control via operator head pose assessment.

Main Methods:

• Implementation of a 3D robot controlled by face pose detection.
• Utilizing the FACE++ tool for precise head position assessment.
• Integration of real-time 3D face initialization for tracking.

Main Results:

• The FPLF3D system demonstrates a high-end monitoring approach.
• Improved reliability of human-machine contact in robotic systems.
• Successful control of robot direction based on operator's head movements.

Conclusions:

• The proposed FPLF3D tracking approaches are accurate and useful.
• Lab-scale tests show superior performance compared to existing tracking methods.
• The strategies are applicable to telepresence, augmented reality, and video games.