Design and implementation of image processing system for Lumen social robot-humanoid as an exhibition guide for Electrical Engineering Days 2015
Setyaki Sholata Sya, Ary Setijadi Prihatmanto

TL;DR
This paper presents the design and implementation of an image processing system enabling the Lumen social humanoid robot to recognize, detect, and track faces and humans, enhancing its role as an exhibition guide.
Contribution
It introduces a multi-module image processing system integrated into a humanoid robot for real-time face and human detection, recognition, and tracking in an exhibition setting.
Findings
Effective face detection and recognition using harcascade.xml and database integration.
Successful implementation of face tracking with Smooth Gaussian filter.
Lumen robot successfully functions as an exhibition guide with enhanced interaction capabilities.
Abstract
Lumen Social Robot is a humanoid robot development with the purpose that it could be a good friend to all people. In this year, the Lumen Social Robot is being developed into a guide in the exhibition and in the seminar of the Final Exam of undergraduate and graduate students in Electrical Engineering ITB, named Electrical Engineering Days 2015. In order to be the guide in that occasion, Lumen is supported by several things. They are Nao robot components, servers, and multiple processor systems. The image processing system is a processing application system that allows Lumen to recognize and determine an object from the image taken from the camera eye. The image processing system is provided with four modules. They are face detection module to detect a person's face, face recognition module to recognize a person's face, face tracking module to follow a person's face, and human detection…
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